Keldon K. Lin
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Autopsy Techniques and Outcomes 2
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 1
- Co-authors
- Michael D. Hope (2 shared papers)Travis S. Henry (4 shared papers)Michael J. Diaz (5 shared papers)Isabel Elaine Allen (1 shared paper)Clarissa Martin (1 shared paper)Jennifer Dai (1 shared paper)Khuram Kazmi (1 shared paper)Muhammad Umair (1 shared paper)
- Journals
- Investigative Radiology (1 paper)Journal of Surgical Oncology (1 paper)American Journal of Roentgenology (1 paper)Intelligence-Based Medicine (1 paper)The Spine Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Keldon K. Lin
15 papers receiving 187 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 14
- Infectious Diseases 61
- Radiology, Nuclear Medicine and Imaging 59
- Critical Care and Intensive Care Medicine 11
- General Dentistry 3
Countries citing papers authored by Keldon K. Lin
This map shows the geographic impact of Keldon K. Lin'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 Keldon K. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keldon K. Lin more than expected).
Fields of papers citing papers by Keldon K. Lin
This network shows the impact of papers produced by Keldon K. Lin. 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 Keldon K. Lin. The network helps show where Keldon K. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Keldon K. Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2020 | 24 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 1 |
About Keldon K. Lin
Keldon K. Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Genetics, Health and General Health Professions, having authored 15 papers that have together received 196 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Autopsy Techniques and Outcomes (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Social Media in Health Education (1 paper), Patient Satisfaction in Healthcare (1 paper), Injury Epidemiology and Prevention (1 paper), Advanced Radiotherapy Techniques (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Health Informatics (14 citations), Infectious Diseases (61 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Critical Care and Intensive Care Medicine (11 citations) and General Dentistry (3 citations). Keldon K. Lin has collaborated with scholars based in United States. Frequent co-authors include Michael D. Hope, Travis S. Henry, Michael J. Diaz, Isabel Elaine Allen, Clarissa Martin, Jennifer Dai, Khuram Kazmi, Muhammad Umair, Pinky Jha and Archis R. Bhandarkar. Their work appears in journals such as Investigative Radiology, Journal of Surgical Oncology, American Journal of Roentgenology, Intelligence-Based Medicine and The Spine Journal.
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.