James D. Perkins
- Co-authors
- Ruud A. F. KromJorge RakelaDavid L. NelsonPatricia M. GrambschDaniel H. HayesAmram AyalonRussell H. WiesnerKris V. Kowdley
- Topics
- Liver Disease Diagnosis and Treatment (8 papers)Organ Transplantation Techniques and Outcomes (8 papers)Liver Disease and Transplantation (5 papers)
- Cited by
- HepatologyTransplantationHematology
- Partner nations
- United StatesChinaSpain
In The Last Decade
James D. Perkins
18 papers receiving 397 citations
Peers
Comparison fields: 5 of 54
- Surgery 207
- Hepatology 162
- Epidemiology 90
- Immunology 85
- Hematology 63
Countries citing papers authored by James D. Perkins
This map shows the geographic impact of James D. Perkins'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. Perkins 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. Perkins more than expected).
Fields of papers citing papers by James D. Perkins
This network shows the impact of papers produced by James D. Perkins. 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. Perkins. The network helps show where James D. Perkins may publish in the future.
Co-authorship network of co-authors of James D. Perkins
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Perkins. A scholar is included among the top collaborators of James D. Perkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James D. Perkins. James D. Perkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Is survival after liver transplantation for hepatocellular carcinoma influenced by the etiology of the liver disease? | 0 |
| 2 | 46 | |
| 3 | Liver Allocation in the United Kingdom. | 0 |
| 4 | 2 | |
| 5 | The expanding role of nanoparticles in the treatment of liver disease. | 4 |
| 6 | Infection by proxy: the role of chimeric mice in HBV and HCV research. | 2 |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Innate immunity involved in the pathogenesis of nonalcoholic steatohepatitis. | 0 |
| 10 | "Exhausted" T cells: good or bad depends on your point of view. | 2 |
| 11 | 16 | |
| 12 | 72 | |
| 13 | 19 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 32 | |
| 17 | 33 | |
| 18 | 65 | |
| 19 | 74 | |
| 20 | 21 |
About James D. Perkins
James D. Perkins is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 21 papers that have together received 413 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Hepatology (162 citations), Transplantation (43 citations) and Hematology (63 citations). James D. Perkins has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Ruud A. F. Krom, Jorge Rakela, David L. Nelson, Patricia M. Grambsch, Daniel H. Hayes, Amram Ayalon, Russell H. Wiesner, Kris V. Kowdley, Mary P. Bronner and Richard D. Press. Their work appears in journals such as Diabetes, Journal of Hepatology and 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.