Kunal Jain

418 total citations
26 papers, 219 citations indexed

About

Kunal Jain is a scholar working on Hematology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kunal Jain has authored 26 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kunal Jain's work include Multiple Myeloma Research and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers) and Protein Degradation and Inhibitors (3 papers). Kunal Jain is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers) and Protein Degradation and Inhibitors (3 papers). Kunal Jain collaborates with scholars based in India, United States and Australia. Kunal Jain's co-authors include Andrew G. Sikora, Luc G.T. Morris, Shrujal S. Baxi, Christos S. Karapetis, M. Joseph John, Naveen Kakkar, Amanda Townsend, Carol Beeke, Gargi Patel and David Roder and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Kunal Jain

22 papers receiving 211 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunal Jain India 6 85 67 63 59 25 26 219
Durmuş Etiz Türkiye 11 119 1.4× 196 2.9× 57 0.9× 73 1.2× 5 0.2× 30 350
Nisha L. Jacobs United States 6 201 2.4× 77 1.1× 51 0.8× 12 0.2× 23 0.9× 10 279
Yakup Bozkaya Türkiye 10 172 2.0× 84 1.3× 79 1.3× 11 0.2× 7 0.3× 35 285
М. В. Копп Russia 11 188 2.2× 98 1.5× 56 0.9× 19 0.3× 5 0.2× 16 359
Ann Spangler United States 10 107 1.3× 64 1.0× 101 1.6× 60 1.0× 4 0.2× 32 311
Butuo Li China 12 204 2.4× 161 2.4× 53 0.8× 8 0.1× 15 0.6× 38 344
Z. Tomasevic Serbia 10 150 1.8× 40 0.6× 20 0.3× 7 0.1× 18 0.7× 24 306
M. Kozloff United States 12 273 3.2× 138 2.1× 26 0.4× 7 0.1× 13 0.5× 29 352
Wei‐Fan Hsu Taiwan 12 49 0.6× 66 1.0× 90 1.4× 19 0.3× 9 0.4× 45 365
Enzo Veltri Italy 10 353 4.2× 150 2.2× 42 0.7× 10 0.2× 22 0.9× 13 421

Countries citing papers authored by Kunal Jain

Since Specialization
Citations

This map shows the geographic impact of Kunal Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kunal Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Jain more than expected).

Fields of papers citing papers by Kunal Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunal Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kunal Jain. The network helps show where Kunal Jain may publish in the future.

Co-authorship network of co-authors of Kunal Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Jain. A scholar is included among the top collaborators of Kunal Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunal Jain. Kunal Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jain, Kunal, Yogesh Simmhan, Rujia Wang, et al.. (2025). SAGESERVE: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 9(3). 1–24.
2.
Jain, Kunal, Esha Choukse, Jue Zhang, et al.. (2025). Performance Aware LLM Load Balancer for Mixed Workloads. 19–30. 1 indexed citations
3.
Jain, Kunal, et al.. (2024). Van Wyk-Grumbach syndrome and its clinical heterogeneity: A case report. Bioinformation. 20(10). 1317–1320.
4.
Jain, Kunal, et al.. (2024). Patient education resources for oral mucositis: a google search and ChatGPT analysis. European Archives of Oto-Rhino-Laryngology. 282(3). 1609–1618. 2 indexed citations
5.
Singh, Jagdeep, et al.. (2024). Clinical and Renal Outcomes in Multiple Myeloma with Involved Free Light Chains Exceeding 1000 mg/L at Diagnosis: Insights from an Indian Cohort. Indian Journal of Hematology and Blood Transfusion. 41(2). 340–348.
6.
Mehta, Arpan R., et al.. (2023). Distinctive Attributes of Indian Patients With Classical BCR::ABL1 Negative Myeloproliferative Neoplasms: Unified Clinical and Laboratory Data. Clinical Lymphoma Myeloma & Leukemia. 23(5). 360–369.e1. 1 indexed citations
7.
Jain, Kunal, et al.. (2021). Mitigation of in-hospital risk of coronavirus disease 2019: Experience from a haematology–oncology and stem cell transplant setting. The National Medical Journal of India. 34(1). 10–10. 1 indexed citations
8.
Singh, Jagdeep, et al.. (2021). Treatment of Acute Leukemia During COVID-19: Focused Review of Evidence. Clinical Lymphoma Myeloma & Leukemia. 21(5). 289–294. 4 indexed citations
9.
Kaur, Komalpreet, et al.. (2021). Clinical and Molecular Attributes of Patients With BCR/ABL1-negative Myeloproliferative Neoplasms in India: Real-world Data and Challenges. Clinical Lymphoma Myeloma & Leukemia. 21(6). e569–e578. 3 indexed citations
10.
Jain, Kunal, et al.. (2021). Epigenetic Modifications in Myeloma: Focused Review of Current Data and Potential Therapeutic Applications. Indian Journal of Medical and Paediatric Oncology. 42(5). 395–405. 1 indexed citations
11.
12.
Ayoola, Adeola Oluwakemi, Shawgi Sukumaran, Kunal Jain, et al.. (2020). Efficacy of influenza vaccine (Fluvax) in cancer patients on treatment: a prospective single arm, open-label study. Supportive Care in Cancer. 28(11). 5411–5417. 4 indexed citations
13.
Finelli, Antonio, Maria Komisarenko, Lisa J. Martin, et al.. (2020). Long-term use of 5-alpha-reductase inhibitors is safe and effective in men on active surveillance for prostate cancer. Prostate Cancer and Prostatic Diseases. 24(1). 69–76. 6 indexed citations
14.
Jiang, Zi Yang, et al.. (2020). Population-based survival of pediatric rhabdomyosarcoma of the head and neck over four decades. International Journal of Pediatric Otorhinolaryngology. 142. 110599–110599. 4 indexed citations
15.
Jain, Kunal, et al.. (2015). Progressive nodular histiocytosis associated with eale′s disease. Indian Journal of Dermatology. 60(4). 388–388. 5 indexed citations
16.
Kumar, Rajiv, Timothy Price, Carol Beeke, et al.. (2013). Colorectal Cancer Survival: An Analysis of Patients With Metastatic Disease Synchronous and Metachronous With the Primary Tumor. Clinical Colorectal Cancer. 13(2). 87–93. 55 indexed citations
17.
Jain, Kunal, Andrew G. Sikora, Shrujal S. Baxi, & Luc G.T. Morris. (2013). Synchronous cancers in patients with head and neck cancer. Cancer. 119(10). 1832–1837. 75 indexed citations
18.
Jacob, Jubbin, et al.. (2012). Erythropoietin use and abuse. Indian Journal of Endocrinology and Metabolism. 16(2). 220–220. 24 indexed citations
19.
Koczwara, Bogda, Richard Woodman, Michael G. Kimlin, et al.. (2012). Variations in serum vitamin D status during cancer chemotherapy.. Journal of Clinical Oncology. 30(15_suppl). e19550–e19550. 1 indexed citations
20.
Jain, Kunal, Carol Beeke, Timothy Price, et al.. (2011). A population-based study of metastatic colorectal cancer (mCRC) in people age 80 and older: Findings from the South Australian Clinical Registry (SACR) for mCRC.. Journal of Clinical Oncology. 29(4_suppl). 514–514. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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