Joseph P. Gaut
- Molecular Biology top 10%
- Immunology top 5%
- Nephrology top 1%
- Surgery top 5%
- Transplantation top 0.5%
- Co-authors
- Jay W. HeineckeJaeman ByunHung D. TranRichard S. HotchkissAbderrazzaq BelaaouajHelen LiapisAndrew F. MaloneHao Wu
- Topics
- Renal Diseases and Glomerulopathies (14 papers)Renal Transplantation Outcomes and Treatments (13 papers)Chronic Kidney Disease and Diabetes (10 papers)
- Cited by
- TransplantationNephrologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesFranceChina
In The Last Decade
Joseph P. Gaut
70 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.1k
- Immunology 749
- Nephrology 664
- Surgery 611
- Transplantation 435
Countries citing papers authored by Joseph P. Gaut
This map shows the geographic impact of Joseph P. Gaut'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 Joseph P. Gaut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph P. Gaut more than expected).
Fields of papers citing papers by Joseph P. Gaut
This network shows the impact of papers produced by Joseph P. Gaut. 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 Joseph P. Gaut. The network helps show where Joseph P. Gaut may publish in the future.
Co-authorship network of co-authors of Joseph P. Gaut
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Gaut. A scholar is included among the top collaborators of Joseph P. Gaut 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 Joseph P. Gaut. Joseph P. Gaut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 4 | |
| 8 | 73 | |
| 9 | 38 | |
| 10 | 164 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 121 | |
| 14 | 2 | |
| 15 | 45 | |
| 16 | Mechanisms of Cardiac and Renal Dysfunction in Patients Dying of Sepsisbreakdown → | 367 |
| 17 | 24 | |
| 18 | 101 | |
| 19 | 20 | |
| 20 | 67 |
About Joseph P. Gaut
Joseph P. Gaut is a scholar working on Transplantation, Nephrology and Immunology, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (14 papers), Renal Transplantation Outcomes and Treatments (13 papers) and Chronic Kidney Disease and Diabetes (10 papers). The work is most often cited by research in Transplantation (435 citations), Nephrology (664 citations) and Immunology (749 citations). Joseph P. Gaut has collaborated with scholars based in United States, France and China. Frequent co-authors include Jay W. Heinecke, Jaeman Byun, Hung D. Tran, Richard S. Hotchkiss, Abderrazzaq Belaaouaj, Helen Liapis, Andrew F. Malone, Hao Wu, Benjamin D. Humphreys and Wendy M. Lauber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.