Tsung‐Chieh Shih

43 total papers · 905 total citations
20 papers, 721 citations indexed

About

Tsung‐Chieh Shih is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Tsung‐Chieh Shih has authored 20 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Tsung‐Chieh Shih's work include Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Tsung‐Chieh Shih is often cited by papers focused on Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Tsung‐Chieh Shih collaborates with scholars based in Taiwan, United States and China. Tsung‐Chieh Shih's co-authors include Sen‐Yung Hsieh, Ming‐Chin Yu, Chun‐Jung Lin, Chia‐Hao Huang, Yun‐Shien Lee, Tzu‐Chen Yen, Ta‐Sen Yeh, Chih-Jen Wen, Yin-Jing Tien and Kit S. Lam and has published in prestigious journals such as Hepatology, Oncogene and Clinical Cancer Research.

In The Last Decade

Tsung‐Chieh Shih

19 papers receiving 714 citations

Author Peers

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

Author Last Decade Papers Cites
Tsung‐Chieh Shih 508 234 177 102 70 20 721
Daifeng Jiang 482 0.9× 278 1.2× 230 1.3× 138 1.4× 32 0.5× 22 795
Xiulan Yang 440 0.9× 379 1.6× 151 0.9× 260 2.5× 79 1.1× 24 856
Shweta Dubey 349 0.7× 164 0.7× 245 1.4× 152 1.5× 41 0.6× 22 715
Yanping Yu 615 1.2× 257 1.1× 124 0.7× 117 1.1× 54 0.8× 33 870
Chi‐Mu Chuang 385 0.8× 314 1.3× 215 1.2× 181 1.8× 43 0.6× 19 792
Cynthia L. Innes 585 1.2× 191 0.8× 153 0.9× 254 2.5× 76 1.1× 30 812
Kimberly A. Solomon 358 0.7× 147 0.6× 189 1.1× 230 2.3× 45 0.6× 20 880
Gang Dong 404 0.8× 210 0.9× 90 0.5× 170 1.7× 107 1.5× 20 634
Gang Nan 424 0.8× 180 0.8× 179 1.0× 147 1.4× 67 1.0× 26 738
Matteo Pallocca 557 1.1× 274 1.2× 146 0.8× 202 2.0× 65 0.9× 36 844

Countries citing papers authored by Tsung‐Chieh Shih

Since Specialization
Citations

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

Fields of papers citing papers by Tsung‐Chieh Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung‐Chieh 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 Tsung‐Chieh Shih. The network helps show where Tsung‐Chieh Shih may publish in the future.

Co-authorship network of co-authors of Tsung‐Chieh Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Chieh Shih. A scholar is included among the top collaborators of Tsung‐Chieh 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 Tsung‐Chieh Shih. Tsung‐Chieh 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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