Apinya Leerapun

60 total papers · 1.3k total citations
34 papers, 477 citations indexed

About

Apinya Leerapun is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Apinya Leerapun has authored 34 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 20 papers in Hepatology and 10 papers in Surgery. Recurrent topics in Apinya Leerapun's work include Liver Disease Diagnosis and Treatment (16 papers), Hepatitis B Virus Studies (13 papers) and Hepatitis C virus research (9 papers). Apinya Leerapun is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Hepatitis B Virus Studies (13 papers) and Hepatitis C virus research (9 papers). Apinya Leerapun collaborates with scholars based in Thailand, United States and New Zealand. Apinya Leerapun's co-authors include Kanokwan Pinyopornpanish, Nipon Chattipakorn, Satawat Thongsawat, Lewis R. Roberts, Rosebud O. Roberts, Konstantinos N. Lazaridis, Teresa A. Mettler, Linda Stadheim, Kanokporn Pinyopornpanish and Chiranjeev Dash and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Apinya Leerapun

30 papers receiving 466 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Apinya Leerapun 251 151 142 113 103 34 477
Rasha Elzehery 269 1.1× 168 1.1× 78 0.5× 76 0.7× 150 1.5× 43 487
Hiroshi Tobita 192 0.8× 79 0.5× 127 0.9× 183 1.6× 158 1.5× 41 520
Maria Corina Plaz Torres 321 1.3× 223 1.5× 119 0.8× 52 0.5× 73 0.7× 28 464
Carolin V. Schneider 260 1.0× 111 0.7× 99 0.7× 80 0.7× 73 0.7× 51 540
Yuki Tsuji 197 0.8× 150 1.0× 49 0.3× 95 0.8× 123 1.2× 43 440
Theresa Propst 273 1.1× 228 1.5× 47 0.3× 61 0.5× 90 0.9× 23 529
Chul‐min Lee 180 0.7× 112 0.7× 78 0.5× 111 1.0× 85 0.8× 49 482
Giovanni Galati 283 1.1× 163 1.1× 99 0.7× 89 0.8× 87 0.8× 43 504
Mitsuhiko Suehiro 323 1.3× 245 1.6× 55 0.4× 83 0.7× 100 1.0× 51 477
Jie‐Jun Hu 156 0.6× 58 0.4× 124 0.9× 75 0.7× 97 0.9× 23 455

Countries citing papers authored by Apinya Leerapun

Since Specialization
Citations

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

Fields of papers citing papers by Apinya Leerapun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apinya Leerapun

This figure shows the co-authorship network connecting the top 25 collaborators of Apinya Leerapun. A scholar is included among the top collaborators of Apinya Leerapun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Apinya Leerapun. Apinya Leerapun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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