Yu‐Liang Kuo

27 total papers · 821 total citations
25 papers, 700 citations indexed

About

Yu‐Liang Kuo is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yu‐Liang Kuo has authored 25 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Yu‐Liang Kuo's work include T-cell and Retrovirus Studies (8 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Yu‐Liang Kuo is often cited by papers focused on T-cell and Retrovirus Studies (8 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Yu‐Liang Kuo collaborates with scholars based in Taiwan, United States and Israel. Yu‐Liang Kuo's co-authors include Chou‐Zen Giam, Baoying Liu, Kuan‐Teh Jeang, Robert Harrod, Yong Tang, Wen‐Wei Chang, Alex Vassilev, Yoshihiro Nakatani, Cheng‐Chia Yu and Wei Liao and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

Yu‐Liang Kuo

25 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Yu‐Liang Kuo 305 255 202 193 116 25 700
Naomi Taylor 507 1.7× 273 1.1× 197 1.0× 182 0.9× 70 0.6× 15 825
Maria Artesi 235 0.8× 222 0.9× 182 0.9× 137 0.7× 75 0.6× 25 683
Manuella Bouttier 252 0.8× 349 1.4× 91 0.5× 88 0.5× 127 1.1× 16 755
Alfonso Lavorgna 354 1.2× 350 1.4× 82 0.4× 75 0.4× 231 2.0× 19 761
Vibeke Andresen 490 1.6× 277 1.1× 361 1.8× 327 1.7× 35 0.3× 29 793
Mariko Tomita 260 0.9× 237 0.9× 113 0.6× 118 0.6× 119 1.0× 22 685
Neelam Sharma 240 0.8× 444 1.7× 78 0.4× 82 0.4× 79 0.7× 31 817
Ilaria Cavallari 380 1.2× 268 1.1× 270 1.3× 262 1.4× 149 1.3× 36 754
D. M. Driscoll 182 0.6× 449 1.8× 75 0.4× 69 0.4× 81 0.7× 19 768
Yuichi Mitobe 302 1.0× 318 1.2× 239 1.2× 226 1.2× 239 2.1× 19 689

Countries citing papers authored by Yu‐Liang Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Liang Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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