Chao-Ming Shih

8 total papers · 504 total citations
4 papers, 416 citations indexed

About

Chao-Ming Shih is a scholar working on Surgery, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Chao-Ming Shih has authored 4 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Chao-Ming Shih's work include Esophageal and GI Pathology (1 paper), Cancer Cells and Metastasis (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). Chao-Ming Shih is often cited by papers focused on Esophageal and GI Pathology (1 paper), Cancer Cells and Metastasis (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). Chao-Ming Shih collaborates with scholars based in Taiwan, United States and Spain. Chao-Ming Shih's co-authors include Webster K. Cavenee, Motoo Nagane, Chun-Ming Huang, Wadih Arap, Hui Huang, Xiang-Dong Ji, Shi‐Yuan Cheng, Tz‐Chong Chou, Shin‐Nan Cheng and Chih‐Shung Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Anesthesia & Analgesia and PubMed.

In The Last Decade

Chao-Ming Shih

4 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
Chao-Ming Shih 283 139 64 61 40 4 416
Jacob R. Hartman 286 1.0× 67 0.5× 50 0.8× 10 0.2× 13 0.3× 9 421
Rozália Laczkó 227 0.8× 64 0.5× 67 1.0× 28 0.5× 3 0.1× 7 439
Noah Jenkins 222 0.8× 48 0.3× 66 1.0× 31 0.5× 7 0.2× 8 444
H-S Hsu 229 0.8× 121 0.9× 125 2.0× 6 0.1× 12 0.3× 6 440
Ingrid Wacker 313 1.1× 123 0.9× 51 0.8× 19 0.3× 3 0.1× 8 433
Natividad Villa 268 0.9× 44 0.3× 23 0.4× 12 0.2× 11 0.3× 7 410
Tomasz Domoradzki 270 1.0× 153 1.1× 58 0.9× 25 0.4× 3 0.1× 7 454
Francine R. Wilson 240 0.8× 38 0.3× 145 2.3× 11 0.2× 18 0.5× 6 464
Cromwell E. Espineda 397 1.4× 31 0.2× 76 1.2× 11 0.2× 24 0.6× 6 481
Anna Priebe 290 1.0× 176 1.3× 64 1.0× 16 0.3× 4 0.1× 8 490

Countries citing papers authored by Chao-Ming Shih

Since Specialization
Citations

This map shows the geographic impact of Chao-Ming Shih'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 Chao-Ming Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Ming Shih more than expected).

Fields of papers citing papers by Chao-Ming Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Ming Shih. 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 Chao-Ming Shih. The network helps show where Chao-Ming Shih may publish in the future.

Co-authorship network of co-authors of Chao-Ming Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Ming Shih. A scholar is included among the top collaborators of Chao-Ming Shih 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 Chao-Ming Shih. Chao-Ming Shih 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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2026