Chia Lin Chang

44 total papers · 1.2k total citations
33 papers, 905 citations indexed

About

Chia Lin Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chia Lin Chang has authored 33 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chia Lin Chang's work include Neuropeptides and Animal Physiology (10 papers), Reproductive Biology and Fertility (6 papers) and Receptor Mechanisms and Signaling (5 papers). Chia Lin Chang is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Reproductive Biology and Fertility (6 papers) and Receptor Mechanisms and Signaling (5 papers). Chia Lin Chang collaborates with scholars based in Taiwan, United States and South Korea. Chia Lin Chang's co-authors include Sheau Yu Hsu, Jaesook Roh, Cynthia Klein, Jae‐Il Park, Chin‐Jung Wang, Y K Soong, Yung‐Kuei Soong, Hsin‐Shih Wang, James J. Cai and Wei Yi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chia Lin Chang

30 papers receiving 894 citations

Author Peers

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

Author						Papers	Cites
Chia Lin Chang	448	427	137	128	124	33	905
Karen Akinsanya	385 0.9×	393 0.9×	72 0.5×	203 1.6×	125 1.0×	31	1.0k
Mark P. Bree	436 1.0×	399 0.9×	115 0.8×	70 0.5×	93 0.8×	33	1.0k
Paul Ordronneau	305 0.7×	369 0.9×	39 0.3×	123 1.0×	77 0.6×	20	1.0k
M. Ohmichi	124 0.3×	448 1.0×	70 0.5×	184 1.4×	115 0.9×	28	930
Maurice P. Dubois	227 0.5×	201 0.5×	47 0.3×	340 2.7×	58 0.5×	30	941
John Mallee	406 0.9×	385 0.9×	29 0.2×	59 0.5×	109 0.9×	17	814
Brian J. Arey	190 0.4×	323 0.8×	122 0.9×	158 1.2×	53 0.4×	29	968
Shunzo Taii	159 0.4×	313 0.7×	291 2.1×	174 1.4×	85 0.7×	29	1.0k
Klaus Dieterich	92 0.2×	432 1.0×	107 0.8×	121 0.9×	52 0.4×	49	959
Joëlle Cohen-Tannoudji	160 0.4×	312 0.7×	197 1.4×	89 0.7×	65 0.5×	34	933

Countries citing papers authored by Chia Lin Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chia Lin Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia Lin Chang. 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 Chia Lin Chang. The network helps show where Chia Lin Chang may publish in the future.

Co-authorship network of co-authors of Chia Lin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia Lin Chang. A scholar is included among the top collaborators of Chia Lin Chang 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 Chia Lin Chang. Chia Lin Chang 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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