T.-H. Wang

1.1k citations
14 papers · 993 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis Viruses Studies and Epidemiology
  • Epidemiology top 10%
    • Hepatitis B Virus Studies

Papers in

T.-H. Wang

14 papers receiving 927 citations

Peers

T.-H. Wang
Comparison fields: 5 of 59
  • Hepatology 609
  • Epidemiology 228
  • Hardware and Architecture 29
  • Pathology and Forensic Medicine 42
  • Management of Technology and Innovation 19
Replace M Yoshiba with:
M Yoshiba Japan
F. Driss France
Hajime Tokita Japan
Junnosuke Watanabe Japan
Ellen B. Hunter United States
Sara Cmet Italy
Françoise Stoll‐Keller France
Elisa Fumolo Italy
Nektarios Dikopoulos Germany
Fernanda Fernandes Souza Brazil
T.-H. Wang relative to M Yoshiba Japan M Yoshiba's profile →
Citations per field
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Citations per year

Countries citing papers authored by T.-H. Wang

Since Specialization
Citations

This map shows the geographic impact of T.-H. Wang'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 T.-H. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.-H. Wang more than expected).

Fields of papers citing papers by T.-H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.-H. Wang. 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 T.-H. Wang. The network helps show where T.-H. Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside T.-H. Wang, 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 T.-H. Wang Line = papers co-authored together T.-H. Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1990302
2 1992165
3 1991138
4 199374
5
Transmission of hepatitis C virus between spouses: the important role of exposure duration.
199672
6 199464
7 199551
8 199544
9 201029
10 199420
11 200018
12 20217
13 20245
14 19954

About T.-H. Wang

T.-H. Wang is a scholar working on Hepatology, Pathology and Forensic Medicine, Epidemiology, Endocrinology and Human-Computer Interaction, having authored 14 papers that have together received 993 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Hepatitis B Virus Studies (2 papers), Virtual Reality Applications and Impacts (1 paper), Infections and bacterial resistance (1 paper), Sepsis Diagnosis and Treatment (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Hepatology (609 citations), Epidemiology (228 citations), Hardware and Architecture (29 citations), Pathology and Forensic Medicine (42 citations) and Management of Technology and Innovation (19 citations). T.-H. Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jin‐Chuan Sheu, Ding‐Shinn Chen, Jann‐Tay Wang, J.-T. Lin, Pei‐Jer Chen, Pei‐Ming Yang, Ming-Wei Lai, Jia‐Horng Kao, Mei‐Hwei Chang and Hong‐Ming Hsu. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, Transfusion, European Journal of Cancer and Neurochirurgie.

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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