Chen‐Tan Lin

3.3k citations
70 papers · 2.2k indexed · h-index 21

Chen‐Tan Lin

65 papers receiving 2.1k citations

Peers

Chen‐Tan Lin
Comparison fields: 5 of 134
  • Health Information Management 709
  • Medical Terminology 27
  • Family Practice 174
  • General Health Professions 1.3k
  • Health Informatics 65
Replace Stephen E. Ross with:
Stephen E. Ross United States
Michael Tutty United States
Erika L. Abramson United States
Tom Delbanco United States
Sara Poplau United States
Susan Woods United States
Linda Peute Netherlands
Mirela Prgomet Australia
Valerie Gilchrist United States
Kim M. Nazi United States
Chen‐Tan Lin relative to Stephen E. Ross United States Stephen E. Ross's profile →
Citations per field
00.5×4.5×
Stephen E. Ross · 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-authorship network

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
#Work
1 20250
2 20250
3 20243
4 20243
5 20240
6 20236
7 20231
8 202357
9 202212
10 202118
11 20219
12 202123
13 20214
14 202029
15 201918
16
Development of specific RAPD markers for identifying albino tea cultivars 'Qiannianxue' and 'Xiaoxueya'
20108
17 20099
18 2005152
19 20032
20 200056

About Chen‐Tan Lin

Chen‐Tan Lin is a scholar working on Family Practice, Health Information Management, Health Informatics, Geriatrics and Gerontology and General Health Professions, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (22 papers), Electronic Health Records Systems (20 papers), Healthcare Systems and Technology (13 papers), Innovations in Medical Education (11 papers), Patient Satisfaction in Healthcare (8 papers), Pharmaceutical Practices and Patient Outcomes (7 papers), Health Literacy and Information Accessibility (7 papers) and Chronic Disease Management Strategies (6 papers). The work is most often cited by research in Health Information Management (709 citations), Medical Terminology (27 citations), Family Practice (174 citations), General Health Professions (1.3k citations) and Health Informatics (65 citations). Chen‐Tan Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Stephen E. Ross, Loretta Wittevrongel, Mark Earnest, Laurie Moore, Gail Albertson, Robert J. Anderson, Brenda L. Beaty, Laurie Moore, Lisa M. Schilling and Elizabeth M. Cyran. 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 JAMA Network Open.

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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