Hsin–Chun Lee

1.5k citations
48 papers · 1.1k indexed · h-index 19

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 7
    • HIV/AIDS Research and Interventions 10
    • Antimicrobial Resistance in Staphylococcus 6
    • Antifungal resistance and susceptibility 5

Hsin–Chun Lee

48 papers receiving 1.1k citations

Peers

Hsin–Chun Lee
Comparison fields: 5 of 99
  • Endocrinology 259
  • Molecular Medicine 156
  • Infectious Diseases 492
  • Applied Microbiology and Biotechnology 32
  • Epidemiology 484
Replace Chi-Jung Wu with:
Chi-Jung Wu Taiwan
Kitty S. C. Fung China
Sayomporn Sirinavin Thailand
R J van Ketel Netherlands
Antonio Goglio Italy
James Mwansa Zambia
Timothy J. Whitman United States
Hung‐Chin Tsai Taiwan
Jean‐Paul Butzler Belgium
Geoffrey Kwenda Zambia
Hsin–Chun Lee relative to Chi-Jung Wu Taiwan Chi-Jung Wu's profile →
Citations per field
00.5×1.6×
Chi-Jung Wu · 1×
Citations per year

Countries citing papers authored by Hsin–Chun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hsin–Chun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin–Chun 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 Hsin–Chun Lee. The network helps show where Hsin–Chun Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hsin–Chun Lee, 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 Hsin–Chun Lee Line = papers co-authored together Hsin–Chun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20135
2 201313
3 201299
4 201211
5 201224
6 201232
7 201215
8 201115
9 201011
10 20107
11 201013
12 20102
13 201016
14 20107
15 201013
16 20097
17 200915
18 200913
19 200917
20 20076

About Hsin–Chun Lee

Hsin–Chun Lee is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Epidemiology and Clinical Biochemistry, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (10 papers), Sex work and related issues (7 papers), Antibiotic Resistance in Bacteria (7 papers), HIV, Drug Use, Sexual Risk (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Streptococcal Infections and Treatments (6 papers), Vibrio bacteria research studies (5 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Endocrinology (259 citations), Molecular Medicine (156 citations), Infectious Diseases (492 citations), Applied Microbiology and Biotechnology (32 citations) and Epidemiology (484 citations). Hsin–Chun Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Wen‐Chien Ko, Nan–Yao Lee, Chia‐Ming Chang, Chi-Jung Wu, Ching‐Chi Lee, Nai‐Ying Ko, Po‐Lin Chen, Yin-Ching Chuang, Po‐Ren Hsueh and Hung-Jen Tang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, AIDS Care, AIDS and Behavior and International Journal of Infectious Diseases.

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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