Geng-Chin Wu

29 total papers · 498 total citations
17 papers, 427 citations indexed

About

Geng-Chin Wu is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Geng-Chin Wu has authored 17 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Geng-Chin Wu's work include Transplantation: Methods and Outcomes (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). Geng-Chin Wu is often cited by papers focused on Transplantation: Methods and Outcomes (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). Geng-Chin Wu collaborates with scholars based in Taiwan, United States and Japan. Geng-Chin Wu's co-authors include Kun‐Lun Huang, Shi-Jye Chu, Zhi‐Hong Wen, Shih-En Tang, Shuyu Wu, Wen-I Liao, Yu‐Chan Chang, Chih‐Shung Wong, Min‐Hui Li and Chung‐Kan Peng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Geng-Chin Wu

17 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
Geng-Chin Wu 146 88 80 77 66 17 427
Lucas W. Meuchel 111 0.8× 80 0.9× 162 2.0× 113 1.5× 65 1.0× 19 456
Mitsuo Aono 130 0.9× 70 0.8× 56 0.7× 101 1.3× 56 0.8× 18 465
Eric E. Lloyd 236 1.6× 88 1.0× 115 1.4× 129 1.7× 93 1.4× 20 479
Yoshio Asano 221 1.5× 57 0.6× 47 0.6× 110 1.4× 28 0.4× 19 459
Geoffrey N. Morris 133 0.9× 58 0.7× 147 1.8× 80 1.0× 113 1.7× 28 455
Jing Zhu 91 0.6× 36 0.4× 34 0.4× 66 0.9× 69 1.0× 27 409
Baoshi Yuan 91 0.6× 53 0.6× 37 0.5× 65 0.8× 76 1.2× 14 415
Valentina Jovanovska 102 0.7× 98 1.1× 45 0.6× 119 1.5× 79 1.2× 16 460
H. Pakbaz 177 1.2× 191 2.2× 77 1.0× 117 1.5× 109 1.7× 11 435
Mieke C. Louwe 168 1.2× 37 0.4× 27 0.3× 71 0.9× 83 1.3× 18 438

Countries citing papers authored by Geng-Chin Wu

Since Specialization
Citations

This map shows the geographic impact of Geng-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 Geng-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 Geng-Chin Wu more than expected).

Fields of papers citing papers by Geng-Chin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng-Chin Wu

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