J. Scott Arn
Impact in
- Transplantation top 1%
- Organ and Tissue Transplantation Research
- Surgery top 2%
- Xenotransplantation and immune response
- Organ Transplantation Techniques and Outcomes
- Tissue Engineering and Regenerative Medicine
Papers in
- Surgery 29
- Xenotransplantation and immune response 29
- Immunology 16
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 6
- Co-authors
- David H. Sachs (30 shared papers)Megan Sykes (14 shared papers)Justin J. Sergio (5 shared papers)Kirsten Swenson (5 shared papers)Kazuhiko Yamada (9 shared papers)Yong Zhao (1 shared paper)Akira Shimizu (8 shared papers)Joren C. Madsen (5 shared papers)
- Journals
- Transplantation (14 papers)The Journal of Immunology (8 papers)Xenotransplantation (5 papers)American Journal of Transplantation (4 papers)Experimental Hematology (1 paper)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
J. Scott Arn
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 65
- Transplantation 215
- Surgery 981
- Immunology 420
- Genetics 444
- Hematology 83
Countries citing papers authored by J. Scott Arn
This map shows the geographic impact of J. 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 J. 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 J. Scott Arn more than expected).
Fields of papers citing papers by J. Scott Arn
This network shows the impact of papers produced by J. 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 J. Scott Arn. The network helps show where J. Scott Arn may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 155 | |
| 2 | 1994 | 102 | |
| 3 | 2003 | 100 | |
| 4 | 2014 | 95 | |
| 5 | 2009 | 90 | |
| 6 | 1999 | 72 | |
| 7 | 1997 | 70 | |
| 8 | 2009 | 69 | |
| 9 | 2014 | 65 | |
| 10 | 2003 | 60 | |
| 11 | 1994 | 56 | |
| 12 | 1997 | 52 | |
| 13 | 2000 | 43 | |
| 14 | 1997 | 40 | |
| 15 | 1999 | 40 | |
| 16 | 1989 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 1995 | 31 | |
| 19 | 2001 | 28 | |
| 20 | 1979 | 26 |
About J. Scott Arn
J. Scott Arn is a scholar working on Surgery, Immunology, Molecular Biology, Genetics and Transplantation, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (29 papers), T-cell and B-cell Immunology (14 papers), Virus-based gene therapy research (7 papers), Animal Genetics and Reproduction (6 papers), Immune Cell Function and Interaction (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Pluripotent Stem Cells Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Transplantation (215 citations), Surgery (981 citations), Immunology (420 citations), Genetics (444 citations) and Hematology (83 citations). J. Scott Arn has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include David H. Sachs, Megan Sykes, Justin J. Sergio, Kirsten Swenson, Kazuhiko Yamada, Yong Zhao, Akira Shimizu, Joren C. Madsen, Tomasz Sablinski and Yong Zhao. Their work appears in journals such as Transplantation, The Journal of Immunology, Xenotransplantation, American Journal of Transplantation and Experimental Hematology.
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.