Steven T. Shipley
- Transplantation top 2%
- Surgery
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Infectious Diseases
- Co-authors
- Eduardo D. RodriguezStephen T. BartlettRolf N. BarthLouis J. DeTollaAruna PandaGerhard S. MundingerArthur J. NamCinthia B. Drachenberg
- Topics
- Organ and Tissue Transplantation Research (9 papers)Viral gastroenteritis research and epidemiology (2 papers)Tissue Engineering and Regenerative Medicine (2 papers)
- Cited by
- TransplantationEndocrinologyVirology
- Journals
- ACS NanoPLoS ONEJournal of Virology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Steven T. Shipley
20 papers receiving 406 citations
Peers
Comparison fields: 5 of 71
- Transplantation 220
- Surgery 160
- Public Health, Environmental and Occupational Health 96
- Molecular Biology 79
- Infectious Diseases 63
Countries citing papers authored by Steven T. Shipley
This map shows the geographic impact of Steven T. Shipley'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 Steven T. Shipley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven T. Shipley more than expected).
Fields of papers citing papers by Steven T. Shipley
This network shows the impact of papers produced by Steven T. Shipley. 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 Steven T. Shipley. The network helps show where Steven T. Shipley may publish in the future.
Co-authorship network of co-authors of Steven T. Shipley
This figure shows the co-authorship network connecting the top 25 collaborators of Steven T. Shipley. A scholar is included among the top collaborators of Steven T. Shipley 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 Steven T. Shipley. Steven T. Shipley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | Mycobacterium kansasii Isolated from Tuberculinpositive Rhesus Macaques (Macaca mulatta) in the Absence of Disease. | 3 |
| 7 | 46 | |
| 8 | 51 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 63 | |
| 13 | A challenge model for Shigella dysenteriae 1 in cynomolgus monkeys (Macaca fascicularis). | 15 |
| 14 | 31 | |
| 15 | 19 | |
| 16 | 30 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 23 | |
| 20 | 35 |
About Steven T. Shipley
Steven T. Shipley is a scholar working on Transplantation, Anesthesiology and Pain Medicine and Infectious Diseases, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Organ and Tissue Transplantation Research (9 papers), Viral gastroenteritis research and epidemiology (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Transplantation (220 citations), Endocrinology (23 citations) and Virology (18 citations). Steven T. Shipley has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Eduardo D. Rodriguez, Stephen T. Bartlett, Rolf N. Barth, Louis J. DeTolla, Aruna Panda, Gerhard S. Mundinger, Arthur J. Nam, Cinthia B. Drachenberg, Jinny S. Ha and Helen G. Hui-Chou. Their work appears in journals such as ACS Nano, PLoS ONE and Journal of Virology.
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.