Jay Starkey
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Infectious Diseases top 10%
- Infectious Encephalopathies and Encephalitis
- Antifungal resistance and susceptibility
Papers in ⓘ
- Surgery 11
- Infectious Diseases and Tuberculosis 3
- Shoulder Injury and Treatment 2
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- Autopsy Techniques and Outcomes 3
- Co-authors
- Toshio Moritani (2 shared papers)Nobuo Kobayashi (1 shared paper)Yuji Numaguchi (2 shared papers)Patricia Kirby (1 shared paper)Taiki Nozaki (8 shared papers)Yukihisa Saida (3 shared papers)Philip Chu (1 shared paper)Bradley N. Delman (1 shared paper)
- Journals
- Skeletal Radiology (2 papers)Radiographics (2 papers)Legal Medicine (1 paper)Insights into Imaging (1 paper)Journal of Medical Ethics (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jay Starkey
28 papers receiving 629 citations
Peers
Comparison fields: 5 of 101
- Microbiology 76
- Infectious Diseases 222
- Pharmacy 36
- Radiology, Nuclear Medicine and Imaging 165
- Neurology 92
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 170 | |
| 2 | 2019 | 163 | |
| 3 | 2014 | 81 | |
| 4 | 2016 | 49 | |
| 5 | 2011 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2017 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2012 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2010 | 5 | |
| 20 | 2018 | 4 |
About Jay Starkey
Jay Starkey is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pharmacy, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 645 indexed citations. Recurring topics across this work include Medical Malpractice and Liability Issues (6 papers), Glioma Diagnosis and Treatment (3 papers), Infectious Diseases and Tuberculosis (3 papers), Autopsy Techniques and Outcomes (3 papers), Infectious Encephalopathies and Encephalitis (3 papers), Shoulder Injury and Treatment (2 papers), Shoulder and Clavicle Injuries (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Microbiology (76 citations), Infectious Diseases (222 citations), Pharmacy (36 citations), Radiology, Nuclear Medicine and Imaging (165 citations) and Neurology (92 citations). Jay Starkey has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Toshio Moritani, Nobuo Kobayashi, Yuji Numaguchi, Patricia Kirby, Taiki Nozaki, Yukihisa Saida, Philip Chu, Bradley N. Delman, Yifei Wang and Diana L. Miglioretti. Their work appears in journals such as Skeletal Radiology, Radiographics, Legal Medicine, Insights into Imaging and Journal of Medical Ethics.
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.