A Scientometric Visualization of 32 Years of Leukemia Research in India

References

• Ahmed, N., A. Yigit, Z. Isik, and A. Alpkocak. 2019. Identification of leukemia subtypes from microscopic images using convolutional neural network. Diagnostics 9 (3):104. doi:10.3390/diagnostics9030104.
   Web of Science ®Google Scholar
• Ahuja, H., M. Bar-Eli, S. H. Advani, S. Benchimol, and M. J. Cline. 1989. Alterations in the p53 gene and the clonal evolution of the Blast Crisis of chronic myelocytic leukemia. Proceedings of the National Academy of Sciences 86 (17):6783–87. doi:10.1073/pnas.86.17.6783.
   PubMed Web of Science ®Google Scholar
• Aria, M., and C. Cuccurullo. 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11 (4):959–75. doi:10.1016/j.joi.2017.08.007.
   Web of Science ®Google Scholar
• Batcha, M. S. 2018. Research contributions on oral cancer in India: An analysis of citation count. Journal of Scientometric Research 7 (1):29–37. doi:10.5530/jscires.7.1.4.
   Google Scholar
• Chen, P., Z. Du, J. Wang, Y. Liu, J. Zhang, and D. Liu. 2021. A bibliometric analysis of the research on hematological tumor microenvironment. Annals of Translational Medicine 9 (16):1337. doi:10.21037/atm-21-3924.
   PubMed Web of Science ®Google Scholar
• Cortes, J. E., D. W. Kim, H. M. Kantarjian, T. H. Brümmendorf, I. Dyagil, L. Griskevicius, H. Malhotra, C. Powell, K. Gogat, A. M. Countouriotis, et al. 2012. Bosutinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukemia: Results from the Bela trial. Journal of Clinical Oncology 30 (28):3486–92. doi:10.1200/jco.2011.38.7522.
   PubMed Web of Science ®Google Scholar
• Kantarjian, H.M., N.P. Shah, J.E. Cortes, M. Baccarani, M.B. Agarwal, M.S. Undurraga, J. Wang, J. J. Kassack Ipiña, D.-W. Kim, and M. Ogura, et al. 2012. Dasatinib or imatinib in newly diagnosed chronic-phase chronic myeloid leukemia: 2-year follow-up from a randomized phase 3 trial (DASISION). Blood 119 (5):1123–29. doi:10.1182/blood-2011-08-376087.
   PubMed Web of Science ®Google Scholar
• Devi, G. S., M. H. Prasad, I. Saraswathi, D. Raghu, D. N. Rao, and P. P. Reddy. 2000. Free radicals antioxidant enzymes and lipid peroxidation in different types of leukemias. Clinica Chimica Acta 293 (1–2):53–62. doi:10.1016/s0009-8981(99)00222-3.
   PubMed Web of Science ®Google Scholar
• Garfield, E. 2009. From the science of science to scientometrics visualizing the history of Science with Histcite software. Journal of Informetrics 3 (3):173–79. doi:10.1016/j.joi.2009.03.009.
   Web of Science ®Google Scholar
• Ghojazadeh, M., M. Naghavi-Behzad, R. Nasrolah-Zadeh, P. Bayat-Khajeh, R. Piri, K. Mirnia, and S. Azami-Aghdash. 2014. Knowledge production status of Iranian researchers in the gastric cancer area: Based on the MEDLINE database. Asian Pacific Journal of Cancer Prevention 15 (12):5083–88. doi:10.7314/apjcp.2014.15.12.5083.
   PubMedGoogle Scholar
• Greaves, M. 2016. Leukaemia’ firsts’ in cancer research and treatment. Nature Reviews: Cancer 16 (3):163–72. doi:10.1038/nrc.2016.3.
   PubMed Web of Science ®Google Scholar
• Gupta, R., K. K. Ahmed, B. M. Gupta, and M. Bansal. 2016. Lung cancer in India: A scientometric study of publications during 2005–14. International Journal of Medicine and Public Health 6 (4):200–08. doi:10.5530/ijmedph.2016.4.11.
   Google Scholar
• Hillmen, P., T. Robak, A. Janssens, K. G. Babu, J. Kloczko, S. Grosicki, M. Doubek, P. Panagiotidis, E. Kimby, A. Schuh, et al. 2015. Chlorambucil Plus ofatumumab versus Chlorambucil alone in previously untreated patients with chronic lymphocytic leukaemia (complement 1): A randomized, multicentre, open-label phase 3 trial. The Lancet 385(9980):1873–83. doi:10.1016/s0140-6736(15)60027-7.
   PubMed Web of Science ®Google Scholar
• Juliusson, G., and R. Hough. 2016. Leukemia. Progress in Tumor Research 87–100. doi:10.1159/000447076.
   PubMed Web of Science ®Google Scholar
• Juliusson, G., V. Lazarevic, A. S. Hörstedt, O. Hagberg, and M. Höglund. 2012. Acute myeloid leukemia in the real world: Why population-based registries are needed. Blood 119 (17):3890–99. doi:10.1182/blood-2011-12-379008.
   PubMed Web of Science ®Google Scholar
• Kantarjian, H., N. P. Shah, A. Hochhaus, J. Cortes, S. Shah, M. Ayala, B. Moiraghi, Z. Shen, J. Mayer, R. Pasquini, et al. 2010. Dasatinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukemia. The New England Journal of Medicine. 362(24):2260–70. doi:10.1056/nejmoa1002315.
   PubMed Web of Science ®Google Scholar
• Martynov, I., J. Klima-Frysch, and J. Schoenberger. 2020. A scientometric analysis of neuroblastoma research. BMC Cancer 20:1. doi:10.1186/s12885-020-06974-3.
   Web of Science ®Google Scholar
• Mathews, A., V. George, B. Chendamarai, E. Lakshmi, K. M. Desire, S. A. Balasubramanian, P. Viswabandya, R. Thirugnanam, A. Abraham, R. V. Shaji, et al. 2010. Single-agent arsenic trioxide in the treatment of newly diagnosed acute promyelocytic leukemia: Long-term follow-up data. Journal of Clinical Oncology 28 (24):3866–71. doi:10.1200/jco.2010.28.5031.
   PubMed Web of Science ®Google Scholar
• Mathews, V., B. George, K. M. Lakshmi, A. Viswabandya, A. Bajel, P. Balasubramanian, R. V. Shaji, V. M. Srivastava, A. Srivastava, and M. Chandy. 2006. Single-agent arsenic trioxide in the treatment of newly diagnosed acute promyelocytic leukemia: Durable remissions with minimal toxicity. Blood 107 (7):2627–32. doi:10.1182/blood-2005-08-3532.
   PubMed Web of Science ®Google Scholar
• Mathur, P., K. Sathishkumar, M. Chaturvedi, P. Das, K. L. Sudarshan, S. Santhappan, V. Nallasamy, A. John, S. Narasimhan, and F. S. Roselind. 2020. Cancer statistics, 2020: Report from National Cancer Registry Programme, India. JCO Global Oncology 6:1063–75. doi:10.1200/go.20.00122.
   PubMedGoogle Scholar
• McClune, B. L., D. J. Weisdorf, T. L. Pedersen, G. Tunes da Silva, M. S. Tallman, J. Sierra, J. DiPersio, A. Keating, R. P. Gale, B. George, et al. 2010. Effect of age on outcome of reduced-intensity hematopoietic cell transplantation for older patients with acute myeloid leukemia in first complete remission or with myelodysplastic syndrome. Journal of Clinical Oncology 28(11):1878–87. doi:10.1200/jco.2009.25.4821.
   PubMed Web of Science ®Google Scholar
• Mohapatra, S., D. Patra, and S. Satpathi. 2010. Image analysis of blood microscopic images for acute leukemia detection. 2010 International Conference on Industrial Electronics, Control and Robotics 215–19. doi:10.1109/IECR.2010.5720171
   Google Scholar
• Munnolli, S. S., and S. M. Pujar. 2017. Scientometric study of Indian Cancer Research based on Scopus Database. COLLNET Journal of Scientometrics and Information Management 11 (2):201–14. doi:10.1080/09737766.2017.1284729.
   Web of Science ®Google Scholar
• Narta, U. K., S. S. Kanwar, and W. Azmi. 2007. Pharmacological and clinical evaluation of L-asparaginase in the treatment of leukemia. Critical Reviews in Oncology/hematology 61 (3):208–21. doi:10.1016/j.critrevonc.2006.07.009.
   PubMed Web of Science ®Google Scholar
• Persson, O., R. Danell, and J. W. Schneider. 2009. How to use Bibexcel for various types of bibliometric analysis. Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at His 60th Birthday 5:9–24.
   Google Scholar
• Polychronakis, I., G. Dounias, V. Makropoulos, E. Riza, and A. Linos. 2013. Work-related leukemia: A systematic review. Journal of Occupational Medicine and Toxicology 8 (1):14. doi:10.1186/1745-6673-8-14.
   PubMedGoogle Scholar
• Ram, S. 2020. Coronavirus research trends: A 50–year bibliometric assessment. Science & Technology Libraries 39 (2):210–26. doi:10.1080/0194262x.2020.1742270.
   Google Scholar
• Seo, B., J. Kim, S. Kim, and E. Lee. 2020. Bibliometric analysis of studies about acute myeloid leukemia conducted globally from 1999 to 2018. Blood Research 55 (1):1–9. doi:10.5045/br.2020.55.1.1.
   PubMed Web of Science ®Google Scholar
• Sung, H., J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray. 2021. Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians 71 (3):209–49. doi:10.3322/caac.21660.
   PubMed Web of Science ®Google Scholar
• van Eck, N. J., and L. Waltman. 2009. Software survey: VOSviewer, a computer program for Bibliometric mapping. Scientometrics 84 (2):523–38. doi:10.1007/s11192-009-0146-3.
   PubMed Web of Science ®Google Scholar
• Wang, Y., L. Jiang, B. Li, and Y. Zhao. 2022. Management of chronic myeloid leukemia and pregnancy: A bibliometric analysis (2000-2020). Frontiers in Oncology 12:12. doi:10.3389/fonc.2022.826703.
   Web of Science ®Google Scholar
• Xie, P. 2015. Study of International Anticancer Research Trends via co-word and document co-citation visualization analysis. Scientometrics 105 (1):611–22. doi:10.1007/s11192-015-1689-0.
   Web of Science ®Google Scholar
• Zhong, Q., B. H. Li, Q. Q. Zhu, Z. M. Zhang, Z. H. Zou, and Y. H. Jin. 2019. The top 100 highly cited original articles on immunotherapy for childhood leukemia. Frontiers in Pharmacology 10:10. doi:10.3389/fphar.2019.01100.
   PubMed Web of Science ®Google Scholar