Lin‐San Tsai

461 citations
12 papers · 367 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Bartonella species infections research
    • Vector-borne infectious diseases

Papers in

    • Liver Disease Diagnosis and Treatment 9
    • Hepatitis B Virus Studies 6
    • Hepatitis C virus research 7
    • Hepatocellular Carcinoma Treatment and Prognosis 4

Lin‐San Tsai

12 papers receiving 358 citations

Peers

Lin‐San Tsai
Comparison fields: 5 of 46
  • Hepatology 213
  • Parasitology 95
  • Virology 50
  • Epidemiology 228
  • Infectious Diseases 73
Replace Niveen Saudy with:
Niveen Saudy Egypt
Diana Canetti Italy
Cecilia Parodi Argentina
Jonathan R. Honegger United States
Pasqualina De Leo Italy
Niveen Saleh Israel
Anna De Bona Italy
Abeer Elkady Japan
Eva Stylianou Norway
Stanislas Pol France
Lin‐San Tsai relative to Niveen Saudy Egypt Niveen Saudy's profile →
Citations per field
00.5×3.6×
Niveen Saudy · 1×
Citations per year

Countries citing papers authored by Lin‐San Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐San Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin‐San Tsai, 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 Lin‐San Tsai Line = papers co-authored together Lin‐San Tsai links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1995102
2 201358
3 200657
4 201044
5 201032
6 201332
7 200816
8 201510
9 20185
10 20125
11 19883
12 20093

About Lin‐San Tsai

Lin‐San Tsai is a scholar working on Epidemiology, Hepatology, Virology, Pathology and Forensic Medicine and Oncology, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Alcohol Consumption and Health Effects (1 paper), Bartonella species infections research (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Hepatology (213 citations), Parasitology (95 citations), Virology (50 citations), Epidemiology (228 citations) and Infectious Diseases (73 citations). Lin‐San Tsai has collaborated with scholars based in Taiwan, United States and Denmark. Frequent co-authors include Kwong‐Ming Kee, Kuo‐Chin Chang, Po‐Lin Tseng, Sheng‐Nan Lu, Shu‐Chuan Chen, Chien‐Hung Chen, Sheng‐Nan Lu, Chien‐Jen Chen, Jill E. Clarridge and Maria C. Rodriguez‐Barradas. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Journal of Clinical Microbiology, The American Journal of Gastroenterology, Cancer Epidemiology Biomarkers & Prevention and American Journal of Veterinary Research.

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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