Arunkumar B. Deora
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
-
- S100 Proteins and Annexins 8
- Angiogenesis and VEGF in Cancer 1
-
- Blood Coagulation and Thrombosis Mechanisms 7
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Katherine A. Hajjar (11 shared papers)Andrew T. Jacovina (6 shared papers)Ling Qi (4 shared papers)Geri Kreitzer (1 shared paper)Maria Febbraio (2 shared papers)Roy L. Silverstein (2 shared papers)Ronit Simantov (2 shared papers)Willie Mark (2 shared papers)
- Journals
- Journal of Clinical Investigation (3 papers)Journal of Biological Chemistry (3 papers)Blood (3 papers)Current Atherosclerosis Reports (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Arunkumar B. Deora
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Hematology 313
- Cancer Research 364
- Immunology and Allergy 107
- Molecular Biology 760
- Immunology 215
Countries citing papers authored by Arunkumar B. Deora
This map shows the geographic impact of Arunkumar B. Deora'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 Arunkumar B. Deora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar B. Deora more than expected).
Fields of papers citing papers by Arunkumar B. Deora
This network shows the impact of papers produced by Arunkumar B. Deora. 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 Arunkumar B. Deora. The network helps show where Arunkumar B. Deora may publish in the future.
Co-authors
The 25 scholars most cited alongside Arunkumar B. Deora, 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 | 2004 | 318 | |
| 2 | 2004 | 198 | |
| 3 | 2006 | 134 | |
| 4 | 2008 | 118 | |
| 5 | 2001 | 104 | |
| 6 | 2003 | 98 | |
| 7 | 2009 | 60 | |
| 8 | 2003 | 17 | |
| 9 | 2004 | 17 | |
| 10 | 2000 | 10 | |
| 11 | 1997 | 5 | |
| 12 | 2005 | 1 |
About Arunkumar B. Deora
Arunkumar B. Deora is a scholar working on Molecular Biology, Hematology, Cancer Research, Immunology and Allergy and Immunology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), S100 Proteins and Annexins (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Cell Adhesion Molecules Research (2 papers), interferon and immune responses (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Hematology (313 citations), Cancer Research (364 citations), Immunology and Allergy (107 citations), Molecular Biology (760 citations) and Immunology (215 citations). Arunkumar B. Deora has collaborated with scholars based in United States and Mexico. Frequent co-authors include Katherine A. Hajjar, Andrew T. Jacovina, Ling Qi, Geri Kreitzer, Maria Febbraio, Roy L. Silverstein, Ronit Simantov, Willie Mark, Barbara Hempstead and Kai‐Li He. Their work appears in journals such as Journal of Clinical Investigation, Journal of Biological Chemistry, Blood, Current Atherosclerosis Reports and Developmental Biology.
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.