Kevin Yan
Impact in
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- Renal Diseases and Glomerulopathies
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- Multiple Sclerosis Research Studies
Papers in
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- Health Systems, Economic Evaluations, Quality of Life 4
- Pharmaceutical Economics and Policy 3
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- Asthma and respiratory diseases 2
- Co-authors
- Eric Druyts (13 shared papers)Chakrapani Balijepalli (10 shared papers)Kamal Desai (4 shared papers)Stéphane Barakat (3 shared papers)Bruce Carleton (2 shared papers)Jason Locklin (1 shared paper)Michael J. Zoratti (3 shared papers)Xuejun Gu (1 shared paper)
- Journals
- PharmacoEconomics (1 paper)Frontiers in Psychiatry (1 paper)Journal of the Association for Information Systems (1 paper)Basic & Clinical Pharmacology & Toxicology (1 paper)Clinical Epidemiology (1 paper)
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Kevin Yan
17 papers receiving 248 citations
Peers
Comparison fields: 5 of 66
- Nephrology 27
- Pathology and Forensic Medicine 59
- Immunology 66
- Hematology 26
- Physiology 8
Countries citing papers authored by Kevin Yan
This map shows the geographic impact of Kevin Yan'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 Kevin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Yan more than expected).
Fields of papers citing papers by Kevin Yan
This network shows the impact of papers produced by Kevin Yan. 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 Kevin Yan. The network helps show where Kevin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Yan, 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 | 63 | |
| 2 | 2020 | 62 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 19 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 13 | |
| 7 | Consumerization and IT Department Conflict | 2014 | 12 |
| 8 | 2022 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2021 | 1 |
About Kevin Yan
Kevin Yan is a scholar working on Economics and Econometrics, Physiology, Surgery, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 253 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical Economics and Policy (3 papers), Asthma and respiratory diseases (2 papers), Diabetes Management and Research (1 paper), Allergic Rhinitis and Sensitization (1 paper), Renal cell carcinoma treatment (1 paper), Knowledge Management and Sharing (1 paper) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Nephrology (27 citations), Pathology and Forensic Medicine (59 citations), Immunology (66 citations), Hematology (26 citations) and Physiology (8 citations). Kevin Yan has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Eric Druyts, Chakrapani Balijepalli, Kamal Desai, Stéphane Barakat, Bruce Carleton, Jason Locklin, Michael J. Zoratti, Xuejun Gu, Kathy H. Li and Ping Wu. Their work appears in journals such as PharmacoEconomics, Frontiers in Psychiatry, Journal of the Association for Information Systems, Basic & Clinical Pharmacology & Toxicology and Clinical Epidemiology.
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.