Suh‐Chin Wu

98 total papers · 2.3k total citations
84 papers, 1.9k citations indexed

About

Suh‐Chin Wu is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Suh‐Chin Wu has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Infectious Diseases, 37 papers in Epidemiology and 28 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Suh‐Chin Wu's work include Influenza Virus Research Studies (28 papers), Mosquito-borne diseases and control (28 papers) and Viral Infections and Vectors (20 papers). Suh‐Chin Wu is often cited by papers focused on Influenza Virus Research Studies (28 papers), Mosquito-borne diseases and control (28 papers) and Viral Infections and Vectors (20 papers). Suh‐Chin Wu collaborates with scholars based in Taiwan, Canada and United States. Suh‐Chin Wu's co-authors include Cheng‐Wen Lin, Michael Butler, Sarah Murrell, Jia‐Tsrong Jan, Wen‐Chun Liu, Su‐Chang Lin, Chia‐Chyi Liu, Pele Chong, Li‐Min Huang and Wei‐Cheng Lian and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Suh‐Chin Wu

83 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Suh‐Chin Wu 925 695 575 569 301 84 1.9k
J. C. S. Clegg 1.0k 1.1× 406 0.6× 486 0.8× 514 0.9× 243 0.8× 41 1.8k
Chang‐Kweng Lim 1.1k 1.1× 884 1.3× 309 0.5× 424 0.7× 114 0.4× 112 2.0k
Ahmed Abd El Wahed 789 0.9× 468 0.7× 639 1.1× 733 1.3× 89 0.3× 99 2.1k
Tao Wang 944 1.0× 490 0.7× 458 0.8× 517 0.9× 608 2.0× 101 2.6k
Richard J. Sugrue 870 0.9× 407 0.6× 1.5k 2.7× 895 1.6× 401 1.3× 74 2.6k
Rebecca Sheets 864 0.9× 712 1.0× 358 0.6× 507 0.9× 355 1.2× 35 1.9k
W. F. Scherer 1.7k 1.8× 1.5k 2.2× 355 0.6× 473 0.8× 179 0.6× 114 2.9k
E-De Qin 1.1k 1.1× 860 1.2× 282 0.5× 367 0.6× 166 0.6× 71 1.8k
Kurt I. Kamrud 761 0.8× 377 0.5× 406 0.7× 452 0.8× 283 0.9× 43 1.6k
Juan García‐Arriaza 810 0.9× 391 0.6× 624 1.1× 584 1.0× 413 1.4× 67 2.1k

Countries citing papers authored by Suh‐Chin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Suh‐Chin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suh‐Chin Wu. 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 Suh‐Chin Wu. The network helps show where Suh‐Chin Wu may publish in the future.

Co-authorship network of co-authors of Suh‐Chin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Suh‐Chin Wu. A scholar is included among the top collaborators of Suh‐Chin Wu 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 Suh‐Chin Wu. Suh‐Chin Wu 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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