Pisit Tangkijvanich

7.1k citations
265 papers · 5.1k indexed · h-index 35
  • Hepatology top 0.2%
    • Hepatitis C virus research 116
    • Hepatocellular Carcinoma Treatment and Prognosis 23
    • Liver Disease and Transplantation 14
    • Liver physiology and pathology 12
    • Hepatitis Viruses Studies and Epidemiology 12
    • Liver Disease Diagnosis and Treatment 119
    • Hepatitis B Virus Studies 118
    • MicroRNA in disease regulation 16

Pisit Tangkijvanich

253 papers receiving 4.9k citations

Peers

Pisit Tangkijvanich
Comparison fields: 5 of 143
  • Hepatology 2.3k
  • Epidemiology 2.5k
  • Cancer Research 634
  • Infectious Diseases 460
  • Molecular Biology 1.6k
Replace Mei–Hsuan Lee with:
Mei–Hsuan Lee Taiwan
Tatsuo Kanda Japan
Junqi Niu China
Hong Tang China
Yoon Park United States
George Y. Wu United States
Bhudev C. Das India
Hendrik W. Reesink Netherlands
Tetsuya Ishikawa Japan
Masaya Sugiyama Japan
Pisit Tangkijvanich relative to Mei–Hsuan Lee Taiwan Mei–Hsuan Lee's profile →
Citations per field
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Mei–Hsuan Lee · 1×
Citations per year

Countries citing papers authored by Pisit Tangkijvanich

Since Specialization
Citations

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

Fields of papers citing papers by Pisit Tangkijvanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pisit Tangkijvanich. 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 Pisit Tangkijvanich. The network helps show where Pisit Tangkijvanich may publish in the future.

Co-authorship network

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

All Works

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The correlation between markers of oxidative stress and risk factors of coronary artery disease in Thai patients.
200318

About Pisit Tangkijvanich

Pisit Tangkijvanich is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 265 papers that have together received 5.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (119 papers), Hepatitis B Virus Studies (118 papers), Hepatitis C virus research (116 papers), Hepatocellular Carcinoma Treatment and Prognosis (23 papers), MicroRNA in disease regulation (16 papers), Liver Disease and Transplantation (14 papers), Liver physiology and pathology (12 papers) and Hepatitis Viruses Studies and Epidemiology (12 papers). The work is most often cited by research in Hepatology (2.3k citations), Epidemiology (2.5k citations) and Cancer Research (634 citations). Pisit Tangkijvanich has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Yong Poovorawan, Natthaya Chuaypen, Apiradee Theamboonlers, Pinit Kullavanijaya, Nattiya Hirankarn, Orawon Chailapakul, Sunchai Payungporn, Duangporn Thong‐Ngam, Apiwat Mutirangura and Narin Voravud. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

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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