James D. Eason
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 25
- Hepatology top 0.5%
- Liver Disease and Transplantation 29
- Hepatitis C virus research 8
- Surgery top 2%
- Organ Transplantation Techniques and Outcomes 29
- Transplantation: Methods and Outcomes 4
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 10
- Hepatitis B Virus Studies 5
- Hematology top 5%
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- Immune Response and Inflammation 4
- Co-authors
- Satheesh NairGeorge E. LossAndrew L. MasonRobert P. PerrilloJohn A. PowelsonAri CohenTatsuo KawaiRod Monroy
- Cited by
- TransplantationHepatologySurgery
- Journals
- Transplantation (16 papers)Clinical Transplantation (6 papers)American Journal of Transplantation (5 papers)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
James D. Eason
59 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Transplantation 787
- Hepatology 1.1k
- Surgery 1.1k
- Epidemiology 699
- Hematology 167
Countries citing papers authored by James D. Eason
This map shows the geographic impact of James D. Eason'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 James D. Eason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Eason more than expected).
Fields of papers citing papers by James D. Eason
This network shows the impact of papers produced by James D. Eason. 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 James D. Eason. The network helps show where James D. Eason may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James D. Eason, 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 | 2023 | 4 | |
| 2 | 2023 | 21 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 10 | |
| 9 | 2017 | 44 | |
| 10 | 2015 | 18 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 36 | |
| 13 | 2011 | 35 | |
| 14 | 2010 | 21 | |
| 15 | 2007 | 1 | |
| 16 | 2003 | 130 | |
| 17 | 1996 | 23 | |
| 18 | 1996 | 42 | |
| 19 | Mixed Allogeneic Chimerism And Renal Allograft Tolerance In Cynomolgus Monkeysbreakdown → | 1995 | 469 |
| 20 | 1995 | 23 |
About James D. Eason
James D. Eason is a scholar working on Transplantation, Hepatology and Surgery, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (29 papers), Organ Transplantation Techniques and Outcomes (29 papers), Renal Transplantation Outcomes and Treatments (25 papers), Liver Disease Diagnosis and Treatment (10 papers), Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (5 papers), Transplantation: Methods and Outcomes (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Transplantation (787 citations), Hepatology (1.1k citations) and Surgery (1.1k citations). James D. Eason has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Satheesh Nair, George E. Loss, Andrew L. Mason, Robert P. Perrillo, John A. Powelson, Ari Cohen, Tatsuo Kawai, Rod Monroy, Robert B. Colvin and Mayumi Tanaka. Their work appears in journals such as Transplantation, Clinical Transplantation, American Journal of Transplantation, Liver Transplantation and Transplant International.
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.