Jay Starkey
Impact in
- Infectious Diseases top 10%
- Infectious Encephalopathies and Encephalitis
- Antifungal resistance and susceptibility
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
- Surgery 8
- Infectious Diseases and Tuberculosis 2
-
- Autopsy Techniques and Outcomes 3
- Co-authors
- Toshio Moritani (2 shared papers)Yuji Numaguchi (2 shared papers)Nobuo Kobayashi (1 shared paper)Patricia Kirby (1 shared paper)Taiki Nozaki (8 shared papers)Yukihisa Saida (3 shared papers)Philip Chu (1 shared paper)Anthony Seibert (1 shared paper)
- Journals
- Radiographics (2 papers)Skeletal Radiology (2 papers)Clinical Neuroradiology (1 paper)Medicine Science and the Law (1 paper)Journal of Computer Assisted Tomography (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jay Starkey
28 papers receiving 674 citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 217
- Microbiology 62
- Radiology, Nuclear Medicine and Imaging 152
- Neurology 82
- Pharmacy 23
Countries citing papers authored by Jay Starkey
This map shows the geographic impact of Jay Starkey'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 Jay Starkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Starkey more than expected).
Fields of papers citing papers by Jay Starkey
This network shows the impact of papers produced by Jay Starkey. 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 Jay Starkey. The network helps show where Jay Starkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Starkey, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2019 | 168 | |
| 3 | 2014 | 96 | |
| 4 | 2016 | 52 | |
| 5 | 2011 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2020 | 14 | |
| 8 | 2013 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2010 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2013 | 8 | |
| 19 | 2010 | 5 | |
| 20 | 2018 | 4 |
About Jay Starkey
Jay Starkey is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Pharmacy and Neurology, having authored 30 papers that have together received 689 indexed citations. Recurring topics across this work include Medical Malpractice and Liability Issues (5 papers), Autopsy Techniques and Outcomes (3 papers), Infectious Encephalopathies and Encephalitis (3 papers), Patient Safety and Medication Errors (2 papers), Bacterial Infections and Vaccines (2 papers), Infectious Diseases and Tuberculosis (2 papers), Healthcare Quality and Management (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Infectious Diseases (217 citations), Microbiology (62 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Neurology (82 citations) and Pharmacy (23 citations). Jay Starkey has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Toshio Moritani, Yuji Numaguchi, Nobuo Kobayashi, Patricia Kirby, Taiki Nozaki, Yukihisa Saida, Philip Chu, Anthony Seibert, Robert Chung and Axel Wetter. Their work appears in journals such as Radiographics, Skeletal Radiology, Clinical Neuroradiology, Medicine Science and the Law and Journal of Computer Assisted Tomography.
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.