Arun Bhat
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Chronic Myeloid Leukemia Treatments 8
- Genetics 6
- Chronic Lymphocytic Leukemia Research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Brian Druker (8 shared papers)Tsukasa Oda (6 shared papers)Kathryn S. Kolibaba (4 shared papers)Martin McMahon (1 shared paper)Stephan Gysin (1 shared paper)Holly Cherwinski (1 shared paper)Martine Humbert (1 shared paper)Douglas Woods (1 shared paper)
- Journals
- Experimental Hematology (3 papers)Journal of Biological Chemistry (2 papers)Blood (2 papers)Analytical Biochemistry (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Arun Bhat
15 papers receiving 505 citations
Peers
Comparison fields: 5 of 58
- Hematology 149
- Genetics 110
- Immunology and Allergy 60
- Oncology 203
- Immunology 148
Countries citing papers authored by Arun Bhat
This map shows the geographic impact of Arun Bhat'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 Arun Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Bhat more than expected).
Fields of papers citing papers by Arun Bhat
This network shows the impact of papers produced by Arun Bhat. 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 Arun Bhat. The network helps show where Arun Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Arun Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 134 | |
| 2 | 2001 | 108 | |
| 3 | 1997 | 77 | |
| 4 | 1997 | 60 | |
| 5 | 2015 | 51 | |
| 6 | 1998 | 29 | |
| 7 | 2000 | 17 | |
| 8 | 1999 | 15 | |
| 9 | 1999 | 10 | |
| 10 | 2004 | 7 | |
| 11 | 2000 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 1997 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2022 | 1 |
About Arun Bhat
Arun Bhat is a scholar working on Hematology, Genetics, Oncology, Rheumatology and Immunology, having authored 16 papers that have together received 520 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), Eosinophilic Disorders and Syndromes (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Hematology (149 citations), Genetics (110 citations), Immunology and Allergy (60 citations), Oncology (203 citations) and Immunology (148 citations). Arun Bhat has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Brian Druker, Tsukasa Oda, Kathryn S. Kolibaba, Martin McMahon, Stephan Gysin, Holly Cherwinski, Martine Humbert, Douglas Woods, Paul F. Bray and Eleni Venetsanakos. Their work appears in journals such as Experimental Hematology, Journal of Biological Chemistry, Blood, Analytical Biochemistry and Journal for ImmunoTherapy of Cancer.
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.