Arunkumar B. Deora
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
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- S100 Proteins and Annexins 8
- Angiogenesis and VEGF in Cancer 1
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- Protease and Inhibitor Mechanisms 8
- Co-authors
- Katherine A. Hajjar (11 shared papers)Andrew T. Jacovina (6 shared papers)Ling Qi (4 shared papers)Geri Kreitzer (1 shared paper)Ronit Simantov (2 shared papers)Roy L. Silverstein (2 shared papers)Willie Mark (2 shared papers)Maria Febbraio (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (3 papers)Blood (3 papers)Developmental Biology (1 paper)Current Atherosclerosis Reports (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Arunkumar B. Deora
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Hematology 310
- Cancer Research 349
- Immunology and Allergy 90
- Rheumatology 154
- Molecular Biology 756
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 | 328 | |
| 2 | 2004 | 202 | |
| 3 | 2006 | 156 | |
| 4 | 2008 | 118 | |
| 5 | 2001 | 107 | |
| 6 | 2003 | 100 | |
| 7 | 2009 | 63 | |
| 8 | 2004 | 19 | |
| 9 | 2003 | 18 | |
| 10 | 2000 | 10 | |
| 11 | 1997 | 7 | |
| 12 | 2005 | 3 |
About Arunkumar B. Deora
Arunkumar B. Deora is a scholar working on Molecular Biology, Cancer Research, Hematology, 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), Angiogenesis and VEGF in Cancer (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Hematology (310 citations), Cancer Research (349 citations), Immunology and Allergy (90 citations), Rheumatology (154 citations) and Molecular Biology (756 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, Ronit Simantov, Roy L. Silverstein, Willie Mark, Maria Febbraio, Barbara Hempstead and Jorge Sánchez‐Guerrero. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Blood, Developmental Biology and Current Atherosclerosis Reports.
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.