Lin‐San Tsai

458 citations
11 papers · 376 · h-index 8

Impact in

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

Papers in

    • Hepatitis C virus research 6
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Liver Disease Diagnosis and Treatment 5
    • Hepatitis B Virus Studies 3

Lin‐San Tsai

11 papers receiving 363 citations

Peers

Lin‐San Tsai
Comparison fields: 5 of 42
  • Hepatology 158
  • Parasitology 103
  • Virology 51
  • Epidemiology 129
  • Infectious Diseases 68
Replace Niveen Saudy with:
Niveen Saudy Egypt
Anna De Bona Italy
Ellen G. J. Hulskotte Netherlands
M. A. Madwar Egypt
Cyrus Badshah United States
Isabel Brosius Belgium
Mette Sannes Norway
Abeer Elkady Japan
Charlotte H. S. B. van den Berg Netherlands
Ewa Siwak Poland
Lin‐San Tsai relative to Niveen Saudy Egypt Niveen Saudy's profile →
Citations per field
00.5×4.3×
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

11 of 11 papers shown
#Work
1 1995112
2 201358
3 200657
4 201045
5 201332
6 201032
7 200817
8 201510
9 20185
10 20125
11 20093

About Lin‐San Tsai

Lin‐San Tsai is a scholar working on Hepatology, Epidemiology, Pathology and Forensic Medicine, Virology and Oncology, having authored 11 papers that have together received 376 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Hepatitis B Virus Studies (3 papers), Pancreatic and Hepatic Oncology Research (1 paper), Alcohol Consumption and Health Effects (1 paper), Streptococcal Infections and Treatments (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Hepatology (158 citations), Parasitology (103 citations), Virology (51 citations), Epidemiology (129 citations) and Infectious Diseases (68 citations). Lin‐San Tsai has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Kwong‐Ming Kee, Kuo‐Chin Chang, Po‐Lin Tseng, Sheng‐Nan Lu, Shu‐Chuan Chen, Chien‐Hung Chen, Jill E. Clarridge, D C Jones, Maria C. Rodriguez‐Barradas and Sheng‐Nan Lu. Their work appears in journals such as Journal of Gastroenterology and Hepatology, PLoS ONE, Journal of Clinical Microbiology, The American Journal of Gastroenterology and Cancer Epidemiology Biomarkers & Prevention.

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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