Wan‐Hsin Wen

22 total papers · 951 total citations
16 papers, 652 citations indexed

About

Wan‐Hsin Wen is a scholar working on Epidemiology, Hepatology and Oncology. According to data from OpenAlex, Wan‐Hsin Wen has authored 16 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Hepatology and 2 papers in Oncology. Recurrent topics in Wan‐Hsin Wen's work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (12 papers) and Hepatitis Viruses Studies and Epidemiology (8 papers). Wan‐Hsin Wen is often cited by papers focused on Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (12 papers) and Hepatitis Viruses Studies and Epidemiology (8 papers). Wan‐Hsin Wen collaborates with scholars based in Taiwan, United States and Thailand. Wan‐Hsin Wen's co-authors include Mei‐Hwei Chang, Huey‐Ling Chen, Yen‐Hsuan Ni, Hong‐Yuan Hsu, Jia‐Feng Wu, Lulu Zhao, Ding‐Shinn Chen, Pei‐Jer Chen, Lung‐Huang Lin and Ming‐Kwang Shyu and has published in prestigious journals such as Gastroenterology, Hepatology and The Journal of Infectious Diseases.

In The Last Decade

Wan‐Hsin Wen

16 papers receiving 642 citations

Author Peers

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

Author Last Decade Papers Cites
Wan‐Hsin Wen 620 575 82 31 17 16 652
T. Stroffolini 553 0.9× 484 0.8× 129 1.6× 30 1.0× 15 0.9× 36 658
Zhongping Duan 688 1.1× 634 1.1× 134 1.6× 18 0.6× 14 0.8× 32 733
Rudolf A. Heijtink 656 1.1× 569 1.0× 148 1.8× 33 1.1× 15 0.9× 23 743
James Waite 524 0.8× 448 0.8× 159 1.9× 15 0.5× 29 1.7× 19 622
Gibril Ndow 613 1.0× 578 1.0× 91 1.1× 35 1.1× 32 1.9× 32 717
Evelyn Crewe 559 0.9× 527 0.9× 52 0.6× 9 0.3× 14 0.8× 18 615
Angela Moiraghi 460 0.7× 417 0.7× 108 1.3× 56 1.8× 13 0.8× 25 665
Chih‐Feng Lu 584 0.9× 489 0.9× 54 0.7× 68 2.2× 16 0.9× 22 673
P. Wantzin 513 0.8× 537 0.9× 98 1.2× 7 0.2× 14 0.8× 26 671
Emanuela Balocchini 454 0.7× 448 0.8× 133 1.6× 53 1.7× 10 0.6× 27 665

Countries citing papers authored by Wan‐Hsin Wen

Since Specialization
Citations

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

Fields of papers citing papers by Wan‐Hsin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan‐Hsin Wen. 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 Wan‐Hsin Wen. The network helps show where Wan‐Hsin Wen may publish in the future.

Co-authorship network of co-authors of Wan‐Hsin Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Hsin Wen. A scholar is included among the top collaborators of Wan‐Hsin Wen 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 Wan‐Hsin Wen. Wan‐Hsin Wen 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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