Chung Shih

30 total papers · 802 total citations
16 papers, 667 citations indexed

About

Chung Shih is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Chung Shih has authored 16 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Chung Shih's work include Bone Metabolism and Diseases (4 papers), Neuropeptides and Animal Physiology (4 papers) and Signaling Pathways in Disease (3 papers). Chung Shih is often cited by papers focused on Bone Metabolism and Diseases (4 papers), Neuropeptides and Animal Physiology (4 papers) and Signaling Pathways in Disease (3 papers). Chung Shih collaborates with scholars based in Taiwan and United States. Chung Shih's co-authors include George W. Bernard, Kyle Chang, Walter Hong‐Shong Chang, Walter Chang, G. W. Bernard, Sherry Huang, Meiling Wu, Ming-Tzu Tsai, Jui‐Sheng Sun and Cheng‐An J. Lin and has published in prestigious journals such as Endocrinology, Clinical Orthopaedics and Related Research and Bone.

In The Last Decade

Chung Shih

16 papers receiving 651 citations

Author Peers

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

Author						Papers	Cites
Chung Shih	236	190	166	150	123	16	667
Tatsuo Fukuhara	255 1.1×	60 0.3×	51 0.3×	23 0.2×	79 0.6×	16	639
Christina Ross	174 0.7×	76 0.4×	41 0.2×	153 1.0×	94 0.8×	26	783
Barbara A. St. Pierre	275 1.2×	59 0.3×	57 0.3×	10 0.1×	167 1.4×	12	733
Gabriel Gaidosh	444 1.9×	14 0.1×	61 0.4×	39 0.3×	72 0.6×	18	737
Ashley G. Goodman	241 1.0×	79 0.4×	122 0.7×	6 0.0×	72 0.6×	9	703
Isadora F. G. Sena	281 1.2×	27 0.1×	90 0.5×	19 0.1×	32 0.3×	19	699
Marilyn Krukowski	291 1.2×	108 0.6×	63 0.4×	4 0.0×	140 1.1×	31	742
Osamu Nakade	121 0.5×	62 0.3×	14 0.1×	13 0.1×	152 1.2×	22	648
Chibeza C. Agley	405 1.7×	17 0.1×	116 0.7×	13 0.1×	209 1.7×	12	793
Dominique Mastrangelo	215 0.9×	78 0.4×	138 0.8×	4 0.0×	65 0.5×	18	752

Countries citing papers authored by Chung Shih

Since Specialization

Citations

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

Fields of papers citing papers by Chung Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung Shih

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