Amit D. Tevar
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 2%
- Liver Disease and Transplantation
Papers in
- Surgery 36
- Organ Transplantation Techniques and Outcomes 30
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- Renal Transplantation Outcomes and Treatments 29
- Co-authors
- E. Steve Woodle (10 shared papers)Alex B. Lentsch (11 shared papers)Rita R. Alloway (7 shared papers)J Everly (4 shared papers)Nozomu Sakai (8 shared papers)Justin M. Burns (5 shared papers)Michael A. Dunn (8 shared papers)Heather L. Van Sweringen (5 shared papers)
- Journals
- Clinical Transplantation (16 papers)Transplantation (9 papers)Journal of Surgical Research (7 papers)Hepatology (6 papers)Liver Transplantation (6 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Amit D. Tevar
97 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Transplantation 686
- Hepatology 419
- Geriatrics and Gerontology 68
- Surgery 716
- Immunology 335
Countries citing papers authored by Amit D. Tevar
This map shows the geographic impact of Amit D. Tevar'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 Amit D. Tevar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit D. Tevar more than expected).
Fields of papers citing papers by Amit D. Tevar
This network shows the impact of papers produced by Amit D. Tevar. 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 Amit D. Tevar. The network helps show where Amit D. Tevar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit D. Tevar, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 307 | |
| 2 | 2009 | 159 | |
| 3 | 2011 | 133 | |
| 4 | 2012 | 121 | |
| 5 | 2016 | 113 | |
| 6 | 2019 | 110 | |
| 7 | 2012 | 96 | |
| 8 | 2016 | 74 | |
| 9 | 2012 | 59 | |
| 10 | 2011 | 56 | |
| 11 | 2021 | 53 | |
| 12 | 2011 | 50 | |
| 13 | 2017 | 48 | |
| 14 | 2009 | 46 | |
| 15 | 2020 | 45 | |
| 16 | 2019 | 44 | |
| 17 | 2010 | 43 | |
| 18 | 2009 | 42 | |
| 19 | 2020 | 34 | |
| 20 | 2014 | 33 |
About Amit D. Tevar
Amit D. Tevar is a scholar working on Surgery, Transplantation, Hepatology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (30 papers), Renal Transplantation Outcomes and Treatments (29 papers), Liver Disease and Transplantation (12 papers), Organ Donation and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Nutrition and Health in Aging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Renal and Vascular Pathologies (4 papers). The work is most often cited by research in Transplantation (686 citations), Hepatology (419 citations), Geriatrics and Gerontology (68 citations), Surgery (716 citations) and Immunology (335 citations). Amit D. Tevar has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include E. Steve Woodle, Alex B. Lentsch, Rita R. Alloway, J Everly, Nozomu Sakai, Justin M. Burns, Michael A. Dunn, Heather L. Van Sweringen, G. Mogilishetty and Prabir Roy‐Chaudhury. Their work appears in journals such as Clinical Transplantation, Transplantation, Journal of Surgical Research, Hepatology and Liver Transplantation.
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.