Steven Lin

3.5k total citations · 4 hit papers
74 papers, 2.1k citations indexed

About

Steven Lin is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health Informatics. According to data from OpenAlex, Steven Lin has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in General Health Professions, 26 papers in Public Health, Environmental and Occupational Health and 14 papers in Health Informatics. Recurrent topics in Steven Lin's work include Innovations in Medical Education (15 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Telemedicine and Telehealth Implementation (9 papers). Steven Lin is often cited by papers focused on Innovations in Medical Education (15 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Telemedicine and Telehealth Implementation (9 papers). Steven Lin collaborates with scholars based in United States, Qatar and Canada. Steven Lin's co-authors include Nick McKeown, Pravir Singh Gupta, Samuel So, Ellen T. Chang, Megan Mahoney, Christine A. Sinsky, Cathina Nguyen, David J. Brady, Xiang-Guang Gu and Amelia Sattler and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Steven Lin

70 papers receiving 2.0k citations

Hit Papers

Routing lookups in hardware at memory access speeds 2002 2026 2010 2018 2002 2024 2024 2025 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Lin United States 22 418 397 379 366 350 74 2.1k
Philip Scott United Kingdom 23 152 0.4× 203 0.5× 1.1k 3.0× 292 0.8× 205 0.6× 138 2.6k
Albert M. Lai United States 23 72 0.2× 111 0.3× 537 1.4× 297 0.8× 306 0.9× 81 2.1k
William J. Long United States 31 85 0.2× 77 0.2× 669 1.8× 252 0.7× 232 0.7× 215 3.6k
John Halamka United States 29 395 0.9× 68 0.2× 423 1.1× 436 1.2× 206 0.6× 116 3.0k
Thomas C. Bailey United States 32 22 0.1× 144 0.4× 136 0.4× 166 0.5× 1.1k 3.0× 125 3.3k
Catherine Chronaki Greece 17 32 0.1× 99 0.2× 196 0.5× 210 0.6× 168 0.5× 103 2.2k
Yiming Zhang China 18 73 0.2× 52 0.1× 211 0.6× 217 0.6× 314 0.9× 68 1.1k
Soo-Yong Shin South Korea 23 53 0.1× 31 0.1× 264 0.7× 121 0.3× 265 0.8× 96 1.6k
Jenna Wiens United States 26 552 1.3× 25 0.1× 775 2.0× 222 0.6× 396 1.1× 81 2.4k
Angus Roberts United Kingdom 23 103 0.2× 103 0.3× 1.2k 3.2× 117 0.3× 146 0.4× 89 2.4k

Countries citing papers authored by Steven Lin

Since Specialization
Citations

This map shows the geographic impact of Steven 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 Steven Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Lin more than expected).

Fields of papers citing papers by Steven Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven 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 Steven Lin. The network helps show where Steven Lin may publish in the future.

Co-authorship network of co-authors of Steven Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Lin. A scholar is included among the top collaborators of Steven Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Lin. Steven Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fieux, M., Steven Lin, Lei Xing, et al.. (2025). Machine Learning of Endoscopy Images to Identify, Classify, and Segment Sinonasal Masses. International Forum of Allergy & Rhinology. 15(5). 524–535. 2 indexed citations
2.
Shah, Shreya, Anna Devon-Sand, P. Stephen, et al.. (2024). Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. Journal of the American Medical Informatics Association. 32(2). 375–380. 55 indexed citations breakdown →
3.
Shah, Shreya, et al.. (2024). Effect of an Electronic Health Record-Based Intervention on Documentation Practices. Applied Clinical Informatics. 15(4). 771–777. 1 indexed citations
4.
Stephen, P., Shreya Shah, Anna Devon-Sand, et al.. (2024). Ambient artificial intelligence scribes: utilization and impact on documentation time. Journal of the American Medical Informatics Association. 32(2). 381–385. 40 indexed citations
5.
Devon-Sand, Anna, et al.. (2024). Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19. Journal of Medical Internet Research. 26. e47667–e47667. 1 indexed citations
6.
Frazier, Winfred, et al.. (2023). Feasibility and Acceptability of a US National Telemedicine Curriculum for Medical Students and Residents: Multi-institutional Cross-sectional Study. JMIR Medical Education. 9. e43190–e43190. 7 indexed citations
7.
Sossenheimer, Philip H., et al.. (2023). Voice Assistants’ Responses to Questions About the COVID-19 Vaccine: National Cross-sectional Study. JMIR Formative Research. 7. e43007–e43007.
9.
Lin, Steven, et al.. (2023). Telemedicine Competencies in Family Medicine Clerkships: A CERA Study. Family Medicine. 55(6). 405–410. 2 indexed citations
10.
Lin, Steven. (2020). The Present and Future of Team Documentation: The Role of Patients, Families, and Artificial Intelligence. Mayo Clinic Proceedings. 95(5). 852–855. 8 indexed citations
11.
Lin, Steven, Amelia Sattler, & Margaret Smith. (2020). Retooling Primary Care in the COVID-19 Era. Mayo Clinic Proceedings. 95(9). 1831–1834. 30 indexed citations
12.
Lin, Steven, et al.. (2017). An Academic Achievement Calculator for Clinician-Educators in Primary Care.. PubMed. 49(8). 640–643. 1 indexed citations
13.
Lin, Steven, et al.. (2016). Training Future Clinician-Educators: A Track for Family Medicine Residents.. PubMed. 48(3). 212–6. 14 indexed citations
14.
Nguyen, Cathina, et al.. (2014). Effectiveness of a smartphone app for guiding antidepressant drug selection.. PubMed. 46(8). 626–30. 20 indexed citations
15.
Lin, Steven & M. Stevens. (2014). The Symptom Cluster-Based Approach to Individualize Patient-Centered Treatment for Major Depression. The Journal of the American Board of Family Medicine. 27(1). 151–159. 17 indexed citations
16.
Nguyen, Cathina & Steven Lin. (2014). Hepatitis B Screening in Asian and Pacific Islanders: New Guidelines, Old Barriers. Journal of Immigrant and Minority Health. 17(5). 1585–1587. 6 indexed citations
17.
Chang, Ellen T., et al.. (2007). Building Partnerships with Traditional Chinese Medicine Practitioners to Increase Hepatitis B Awareness and Prevention. The Journal of Alternative and Complementary Medicine. 13(10). 1125–1128. 9 indexed citations
18.
Lin, Steven, et al.. (2007). Hepatitis B and liver cancer knowledge and preventive practices among Asian Americans in the San Francisco Bay Area, California.. PubMed. 8(1). 127–34. 95 indexed citations
19.
Lin, Steven. (1996). Utilization of educational media and technology by educators in selected community colleges in Texas. UMI eBooks.
20.
Lin, Steven, et al.. (1991). GaAs-Based Optoelectronic Neurons. WB3–WB3. 1 indexed citations

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.

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