R. G. Thurman
- Epidemiology top 10%
- Pathology and Forensic Medicine top 5%
- Hepatology top 2%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Hiroshi KonoRandle M. GallucciM I LusterJohn J. LemastersRonald P. MasonTae MatsumuraZhi ZhongRobert T. Currin
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Organ Transplantation Techniques and Outcomes (11 papers)Alcohol Consumption and Health Effects (7 papers)
- Partner nations
- United StatesGermany
In The Last Decade
R. G. Thurman
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Epidemiology 440
- Pathology and Forensic Medicine 429
- Hepatology 350
- Molecular Biology 315
- Surgery 301
Countries citing papers authored by R. G. Thurman
This map shows the geographic impact of R. G. Thurman'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 R. G. Thurman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. G. Thurman more than expected).
Fields of papers citing papers by R. G. Thurman
This network shows the impact of papers produced by R. G. Thurman. 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 R. G. Thurman. The network helps show where R. G. Thurman may publish in the future.
Co-authorship network of co-authors of R. G. Thurman
This figure shows the co-authorship network connecting the top 25 collaborators of R. G. Thurman. A scholar is included among the top collaborators of R. G. Thurman 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 R. G. Thurman. R. G. Thurman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 420 | |
| 5 | 28 | |
| 6 | 4 | |
| 7 | 57 | |
| 8 | Carolina rinse solution decreases liver injury during clinical liver transplantation. | 25 |
| 9 | 19 | |
| 10 | 25 | |
| 11 | Activation of oxygen radical formation by kupffer cells in rat livers stored for transplantation surgery | 4 |
| 12 | 13 | |
| 13 | Assessment of reperfusion injury by intravital fluorescence microscopy following liver transplantation in the rat. | 43 |
| 14 | 40 | |
| 15 | 88 | |
| 16 | 5 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 51 | |
| 20 | 16 |
About R. G. Thurman
R. G. Thurman is a scholar working on Hepatology, Biochemistry and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Organ Transplantation Techniques and Outcomes (11 papers) and Alcohol Consumption and Health Effects (7 papers). The work is most often cited by research in Hepatology (350 citations), Pathology and Forensic Medicine (429 citations) and Biochemistry (167 citations). R. G. Thurman has collaborated with scholars based in United States and Germany. Frequent co-authors include Hiroshi Kono, Randle M. Gallucci, M I Luster, John J. Lemasters, Ronald P. Mason, Tae Matsumura, Zhi Zhong, Robert T. Currin, Kathryn T. Knecht and Blair U. Bradford. Their work appears in journals such as Journal of Clinical Investigation, Hepatology and Journal of Applied Physiology.
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.