Arvind Shah
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 60
- Lipoproteins and Cardiovascular Health 51
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 24
- Co-authors
- Daniel G. Foster (4 shared papers)Sheryan P. Epperly (3 shared papers)John W. Watson (3 shared papers)Jianxin Lin (31 shared papers)Alan G. Meehan (7 shared papers)Andrew M. Tershakovec (21 shared papers)Steven A. Kaplan (3 shared papers)Yih‐Ming Yang (8 shared papers)
- Journals
- Journal of clinical lipidology (16 papers)American Journal of Hematology (12 papers)International Journal of Clinical Practice (6 papers)The American Statistician (6 papers)Lipids in Health and Disease (5 papers)
- Partner nations
- United StatesNepalUnited Kingdom
In The Last Decade
Arvind Shah
160 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 152
- Genetics 544
- Endocrinology, Diabetes and Metabolism 641
- Hematology 399
- Nature and Landscape Conservation 341
- Surgery 1.1k
Countries citing papers authored by Arvind Shah
This map shows the geographic impact of Arvind Shah'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 Arvind Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Shah more than expected).
Fields of papers citing papers by Arvind Shah
This network shows the impact of papers produced by Arvind Shah. 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 Arvind Shah. The network helps show where Arvind Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 258 | |
| 2 | 2003 | 257 | |
| 3 | 2012 | 204 | |
| 4 | 2006 | 154 | |
| 5 | 2004 | 116 | |
| 6 | 1984 | 83 | |
| 7 | 1990 | 75 | |
| 8 | 2008 | 73 | |
| 9 | 2004 | 67 | |
| 10 | 1993 | 65 | |
| 11 | 1995 | 64 | |
| 12 | 1998 | 61 | |
| 13 | 1985 | 61 | |
| 14 | 2007 | 60 | |
| 15 | 2011 | 56 | |
| 16 | 1995 | 52 | |
| 17 | 2008 | 47 | |
| 18 | 2012 | 45 | |
| 19 | 2008 | 44 | |
| 20 | 2012 | 39 |
About Arvind Shah
Arvind Shah is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics and Statistics and Probability, having authored 165 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (51 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Cancer, Lipids, and Metabolism (22 papers), Hemoglobinopathies and Related Disorders (21 papers), Pharmaceutical Economics and Policy (15 papers), Erythrocyte Function and Pathophysiology (12 papers), Kidney Stones and Urolithiasis Treatments (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). The work is most often cited by research in Genetics (544 citations), Endocrinology, Diabetes and Metabolism (641 citations), Hematology (399 citations), Nature and Landscape Conservation (341 citations) and Surgery (1.1k citations). Arvind Shah has collaborated with scholars based in United States, Nepal and United Kingdom. Frequent co-authors include Daniel G. Foster, Sheryan P. Epperly, John W. Watson, Jianxin Lin, Alan G. Meehan, Andrew M. Tershakovec, Steven A. Kaplan, Yih‐Ming Yang, Vipul N. Mankad and Elizabeth A. Manci. Their work appears in journals such as Journal of clinical lipidology, American Journal of Hematology, International Journal of Clinical Practice, The American Statistician and Lipids in Health and Disease.
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.