Kuo‐Liang Wei

49 total papers · 561 total citations
34 papers, 431 citations indexed

About

Kuo‐Liang Wei is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kuo‐Liang Wei has authored 34 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 12 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Kuo‐Liang Wei's work include Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (11 papers) and Hepatitis B Virus Studies (7 papers). Kuo‐Liang Wei is often cited by papers focused on Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (11 papers) and Hepatitis B Virus Studies (7 papers). Kuo‐Liang Wei collaborates with scholars based in Taiwan, United States and Macao. Kuo‐Liang Wei's co-authors include Shui‐Yi Tung, Wei‐Ming Chen, Yung‐Yu Hsieh, Te‐Sheng Chang, Cheng-Shyong Wu, Huang‐Wei Xu, Pey‐Jium Chang, Cheng‐Shyong Wu, Chia‐Hao Chang and Chun‐Liang Lin and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Kuo‐Liang Wei

33 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Kuo‐Liang Wei 180 154 115 84 62 34 431
Guy Lampe 224 1.2× 152 1.0× 56 0.5× 88 1.0× 48 0.8× 25 390
Roman Liebe 255 1.4× 190 1.2× 132 1.1× 104 1.2× 33 0.5× 36 461
Hirohito Honda 191 1.1× 148 1.0× 131 1.1× 112 1.3× 44 0.7× 27 482
Carlos D. Minacapelli 167 0.9× 86 0.6× 90 0.8× 111 1.3× 34 0.5× 31 423
Takakazu Nagahara 166 0.9× 168 1.1× 114 1.0× 52 0.6× 23 0.4× 35 426
Yangyang Hui 135 0.8× 124 0.8× 110 1.0× 61 0.7× 86 1.4× 45 474
Tomoji Nishioka 163 0.9× 134 0.9× 87 0.8× 147 1.8× 60 1.0× 23 417
Tonghai Xing 119 0.7× 90 0.6× 122 1.1× 117 1.4× 47 0.8× 28 486
Koichiro Ohashi 150 0.8× 89 0.6× 139 1.2× 60 0.7× 39 0.6× 23 393
Yang Wang 168 0.9× 70 0.5× 152 1.3× 74 0.9× 41 0.7× 22 458

Countries citing papers authored by Kuo‐Liang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Liang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Liang Wei. 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 Kuo‐Liang Wei. The network helps show where Kuo‐Liang Wei may publish in the future.

Co-authorship network of co-authors of Kuo‐Liang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Liang Wei. A scholar is included among the top collaborators of Kuo‐Liang Wei 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 Kuo‐Liang Wei. Kuo‐Liang Wei 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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