Ken Lin
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
Papers in
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- Acute Myocardial Infarction Research 2
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- Clinical practice guidelines implementation 3
- Mosquito-borne diseases and control 2
- Co-authors
- Andrea M. Kasko (4 shared papers)Mary B. Barton (2 shared papers)Chuan Shi (1 shared paper)Xiao Wang (1 shared paper)Bai Wang (1 shared paper)Shaohua Fan (1 shared paper)Amir Qaseem (1 shared paper)Gregory T. Christopherson (1 shared paper)
- Journals
- The Journal of the American Board of Family Medicine (2 papers)Cancer Discovery (2 papers)Annals of Internal Medicine (2 papers)Otolaryngology (2 papers)Blood (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ken Lin
48 papers receiving 1k citations
Peers
Comparison fields: 5 of 131
- Biomaterials 68
- Obstetrics and Gynecology 49
- Artificial Intelligence 154
- Pulmonary and Respiratory Medicine 115
- Genetics 32
Countries citing papers authored by Ken Lin
This map shows the geographic impact of Ken 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 Ken Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Lin more than expected).
Fields of papers citing papers by Ken Lin
This network shows the impact of papers produced by Ken 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 Ken Lin. The network helps show where Ken Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken 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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2008 | 120 | |
| 3 | 2020 | 88 | |
| 4 | 2020 | 85 | |
| 5 | 2007 | 72 | |
| 6 | 2016 | 46 | |
| 7 | 2014 | 41 | |
| 8 | 2024 | 41 | |
| 9 | 2016 | 39 | |
| 10 | 2020 | 36 | |
| 11 | 2012 | 32 | |
| 12 | 2025 | 30 | |
| 13 | 2023 | 28 | |
| 14 | 2025 | 27 | |
| 15 | 2014 | 24 | |
| 16 | 2024 | 18 | |
| 17 | 2025 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 2023 | 15 |
About Ken Lin
Ken Lin is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Genetics, Hematology and Organic Chemistry, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (3 papers), Mosquito-borne diseases and control (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Acute Myocardial Infarction Research (2 papers), Advanced Polymer Synthesis and Characterization (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Biomaterials (68 citations), Obstetrics and Gynecology (49 citations), Artificial Intelligence (154 citations), Pulmonary and Respiratory Medicine (115 citations) and Genetics (32 citations). Ken Lin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Andrea M. Kasko, Mary B. Barton, Chuan Shi, Xiao Wang, Bai Wang, Shaohua Fan, Amir Qaseem, Gregory T. Christopherson, Kian Ngiap Chua and Hai‐Quan Mao. Their work appears in journals such as The Journal of the American Board of Family Medicine, Cancer Discovery, Annals of Internal Medicine, Otolaryngology and Blood.
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.