Chen‐Tan Lin

67 papers receiving 2.2k citations

Peers

Chen‐Tan Lin
Comparison fields: 5 of 124
  • Health Information Management 565
  • Family Practice 76
  • Medical Terminology 10
  • Health Informatics 50
  • General Health Professions 646
Replace Sara Poplau with:
Sara Poplau United States
Michael Tutty United States
Warner V. Slack United States
Stephen E. Ross United States
Tom Delbanco United States
Mirela Prgomet Australia
Linda Peute Netherlands
Ming Tai-Seale United States
Susan Woods United States
Erika L. Abramson United States
Chen‐Tan Lin relative to Sara Poplau United States Sara Poplau's profile →
Citations per field
00.5×2.8×
Sara Poplau · 1×
Citations per year

Countries citing papers authored by Chen‐Tan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Tan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen‐Tan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen‐Tan Lin Line = papers co-authored together Chen‐Tan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003254
2 2001238
3 2004228
4 2001195
5 2004158
6 2005152
7
The third person in the room: frequency, role, and influence of companions during primary care medical encounters.
200295
8 200593
9 201976
10 202365
11 200057
12 201946
13 202043
14 201941
15 202031
16 202030
17 202326
18 200226
19 202126
20 201825

About Chen‐Tan Lin

Chen‐Tan Lin is a scholar working on Health Information Management, General Health Professions, Public Health, Environmental and Occupational Health, Epidemiology and Organizational Behavior and Human Resource Management, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electronic Health Records Systems (13 papers), Health Policy Implementation Science (4 papers), Healthcare Systems and Technology (4 papers), Chronic Disease Management Strategies (4 papers), Diabetes Management and Education (3 papers), Patient-Provider Communication in Healthcare (3 papers), Heart Failure Treatment and Management (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Health Information Management (565 citations), Family Practice (76 citations), Medical Terminology (10 citations), Health Informatics (50 citations) and General Health Professions (646 citations). Chen‐Tan Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Stephen E. Ross, Laurie Moore, Loretta Wittevrongel, Mark Earnest, Gail Albertson, Robert J. Anderson, Brenda L. Beaty, Lisa M. Schilling, Elizabeth M. Cyran and John L. Coulehan. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association, Applied Clinical Informatics, The American Journal of Surgery and Journal of General Internal Medicine.

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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