Yuan‐Ti Lee

1.1k citations
62 papers · 683 indexed · h-index 15
Topics
Hepatitis B Virus Studies (11 papers)Hepatitis C virus research (10 papers)HIV/AIDS Research and Interventions (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEHepatology

In The Last Decade

Yuan‐Ti Lee

57 papers receiving 662 citations

Peers

Yuan‐Ti Lee
Comparison fields: 5 of 94
  • Infectious Diseases 322
  • Epidemiology 271
  • Public Health, Environmental and Occupational Health 100
  • Surgery 96
  • Hepatology 88
Replace Ning‐Chi Wang with:
Ning‐Chi Wang Taiwan
Duc B. Nguyen United States
Laura Ambra Nicolini Italy
Souleymane Diallo Mali
Tatiana Galpérine France
M Mounier France
Endale Tadesse Ethiopia
Guilherme Santoro‐Lopes Brazil
Boubacar Nacro Burkina Faso
Mohammad Ali Davarpanah Iran
Yuan‐Ti Lee relative to Ning‐Chi Wang Taiwan Ning‐Chi Wang's profile →
Citations per field
00.5×1.5×1.9×
Ning‐Chi Wang · 1×
Citations per year

Countries citing papers authored by Yuan‐Ti Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Ti Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Ti Lee. 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 Yuan‐Ti Lee. The network helps show where Yuan‐Ti Lee may publish in the future.

Co-authorship network of co-authors of Yuan‐Ti Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Ti Lee. A scholar is included among the top collaborators of Yuan‐Ti Lee 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 Yuan‐Ti Lee. Yuan‐Ti Lee 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
#WorkIndexed citations
1 0
2 0
3 4
4 2
5 11
6 1
7 14
8 18
9 13
10 14
11
Melioidosis Presenting as Splenic Abscesses and Suspected Septic Pulmonary Embolism – A Case Report
0
12 0
13 6
14 2
15 11
16 1
17 27
18 8
19 8
20 6

About Yuan‐Ti Lee

Yuan‐Ti Lee is a scholar working on Infectious Diseases, Hepatology and Applied Microbiology and Biotechnology, having authored 62 papers that have together received 683 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (10 papers) and HIV/AIDS Research and Interventions (8 papers). The work is most often cited by research in Infectious Diseases (322 citations), Endocrinology (64 citations) and Virology (57 citations). Yuan‐Ti Lee has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Shiuan‐Chih Chen, Meng‐Chih Lee, Shih‐Ming Tsao, Chun‐Chieh Chen, Wai‐Nang Chao, Chin‐Feng Tsai, Khee‐Siang Chan, Chien‐Ching Hung, Chia‐Jui Yang and Horng‐Rong Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

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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