Scott Arn
Impact in
- Transplantation top 5%
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Surgery 12
- Xenotransplantation and immune response 12
- Immunology 12
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 4
- Co-authors
- David H. Sachs (23 shared papers)Jay A. Fishman (3 shared papers)Kazuhiko Yamada (7 shared papers)Akira Shimizu (4 shared papers)Clive Patience (2 shared papers)Gary Quinn (2 shared papers)Henk‐Jan Schuurman (2 shared papers)Kristen M. Suling (2 shared papers)
- Journals
- Veterinary Immunology and Immunopathology (8 papers)Transplantation (6 papers)Xenotransplantation (5 papers)Journal of Virology (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Scott Arn
25 papers receiving 610 citations
Peers
Comparison fields: 5 of 57
- Transplantation 74
- Immunology 197
- Genetics 256
- Surgery 342
- Animal Science and Zoology 53
Countries citing papers authored by Scott Arn
This map shows the geographic impact of Scott Arn'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 Scott Arn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Arn more than expected).
Fields of papers citing papers by Scott Arn
This network shows the impact of papers produced by Scott Arn. 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 Scott Arn. The network helps show where Scott Arn may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Arn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 105 | |
| 2 | 2001 | 60 | |
| 3 | 2004 | 53 | |
| 4 | 1998 | 41 | |
| 5 | 1999 | 38 | |
| 6 | 1998 | 38 | |
| 7 | 2019 | 34 | |
| 8 | 1998 | 34 | |
| 9 | 1997 | 33 | |
| 10 | 2018 | 30 | |
| 11 | 2001 | 28 | |
| 12 | 1994 | 21 | |
| 13 | 2003 | 17 | |
| 14 | 1998 | 13 | |
| 15 | 1995 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 1997 | 11 | |
| 18 | 1998 | 10 | |
| 19 | 1999 | 10 | |
| 20 | 1998 | 6 |
About Scott Arn
Scott Arn is a scholar working on Surgery, Immunology, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 626 indexed citations. Recurring topics across this work include Xenotransplantation and immune response (12 papers), T-cell and B-cell Immunology (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Animal Genetics and Reproduction (5 papers), Cell Adhesion Molecules Research (5 papers), Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Transplantation (74 citations), Immunology (197 citations), Genetics (256 citations), Surgery (342 citations) and Animal Science and Zoology (53 citations). Scott Arn has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David H. Sachs, Jay A. Fishman, Kazuhiko Yamada, Akira Shimizu, Clive Patience, Gary Quinn, Henk‐Jan Schuurman, Kristen M. Suling, James C. S. Wood and M.D. Pescovitz. Their work appears in journals such as Veterinary Immunology and Immunopathology, Transplantation, Xenotransplantation, Journal of Virology 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.