E. Steve Woodle
- Transplantation top 0.01%
- Renal Transplantation Outcomes and Treatments 184
- Hepatology top 0.5%
- Liver Disease and Transplantation 49
- Surgery top 0.2%
- Organ Transplantation Techniques and Outcomes 128
- Transplantation: Methods and Outcomes 36
- Nephrology top 0.5%
- Oncology top 0.5%
- Polyomavirus and related diseases 42
- Viral-associated cancers and disorders 29
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- Organ Donation and Transplantation 44
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- Cytomegalovirus and herpesvirus research 28
- Co-authors
- Rita R. AllowayJoseph F. BuellM. Roy FirstMichael J. HanawayJ. Richard ThistlethwaitePrabir Roy‐ChaudhuryThomas G. GrossJ. Michael Millis
- Cited by
- TransplantationHepatologySurgery
- Journals
- Transplantation (97 papers)American Journal of Transplantation (36 papers)Clinical Transplantation (15 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
E. Steve Woodle
343 papers receiving 11.4k citations
Peers
Comparison fields: 5 of 135
- Transplantation 5.2k
- Hepatology 1.8k
- Surgery 5.0k
- Nephrology 790
- Oncology 2.9k
Countries citing papers authored by E. Steve Woodle
This map shows the geographic impact of E. Steve Woodle'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 E. Steve Woodle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Steve Woodle more than expected).
Fields of papers citing papers by E. Steve Woodle
This network shows the impact of papers produced by E. Steve Woodle. 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 E. Steve Woodle. The network helps show where E. Steve Woodle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Steve Woodle, 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 | 26 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 30 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 83 | |
| 6 | 2017 | 0 | |
| 7 | 2017 | 9 | |
| 8 | 2014 | 35 | |
| 9 | 2014 | 7 | |
| 10 | 2012 | 72 | |
| 11 | 2011 | 10 | |
| 12 | 2010 | 31 | |
| 13 | 2008 | 35 | |
| 14 | 2007 | 35 | |
| 15 | 2002 | 4 | |
| 16 | 1999 | 387 | |
| 17 | 1999 | 8 | |
| 18 | 1998 | 6 | |
| 19 | 1998 | 24 | |
| 20 | Tc-NGA imaging in liver transplantation: preliminary clinical experience. | 1989 | 1 |
About E. Steve Woodle
E. Steve Woodle is a scholar working on Transplantation, Hepatology and Surgery, having authored 354 papers that have together received 11.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (184 papers), Organ Transplantation Techniques and Outcomes (128 papers), Liver Disease and Transplantation (49 papers), Organ Donation and Transplantation (44 papers), Polyomavirus and related diseases (42 papers), Transplantation: Methods and Outcomes (36 papers), Viral-associated cancers and disorders (29 papers) and Cytomegalovirus and herpesvirus research (28 papers). The work is most often cited by research in Transplantation (5.2k citations), Hepatology (1.8k citations) and Surgery (5.0k citations). E. Steve Woodle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rita R. Alloway, Joseph F. Buell, M. Roy First, Michael J. Hanaway, J. Richard Thistlethwaite, Prabir Roy‐Chaudhury, Thomas G. Gross, J. Michael Millis, David S. Bruce and Jennifer Trofe. Their work appears in journals such as Transplantation, American Journal of Transplantation, Clinical Transplantation, Surgery and Transplantation Proceedings.
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.