Jae H. Chang

84 total papers · 1.6k total citations
41 papers, 756 citations indexed

About

Jae H. Chang is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Jae H. Chang has authored 41 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Molecular Biology and 13 papers in Pharmacology. Recurrent topics in Jae H. Chang's work include Drug Transport and Resistance Mechanisms (12 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Jae H. Chang is often cited by papers focused on Drug Transport and Resistance Mechanisms (12 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Jae H. Chang collaborates with scholars based in United States, China and Taiwan. Jae H. Chang's co-authors include Jonathan Cheong, Leslie Z. Benet, Emile G. Plise, Mark O. J. Olson, Molly Lin, Ruina Li, David H. Hackos, Y Li, Hai Ning Shi and Chien‐Wen Su and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Blood.

In The Last Decade

Jae H. Chang

38 papers receiving 729 citations

Author Peers

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

Author						Papers	Cites
Jae H. Chang	324	200	158	105	71	41	756
Muhammad Y. Al‐Shorbagy	279 0.9×	58 0.3×	51 0.3×	74 0.7×	76 1.1×	34	816
Joseph F. Williams	334 1.0×	171 0.9×	287 1.8×	80 0.8×	23 0.3×	27	881
Seigo Shumiya	396 1.2×	114 0.6×	56 0.4×	120 1.1×	81 1.1×	45	801
Min‐Jung Kim	302 0.9×	95 0.5×	51 0.3×	84 0.8×	61 0.9×	37	887
Irena Manov	350 1.1×	113 0.6×	149 0.9×	127 1.2×	47 0.7×	31	826
Patricia Schroeder	257 0.8×	151 0.8×	53 0.3×	97 0.9×	29 0.4×	35	855
Harish V. Pai	445 1.4×	105 0.5×	160 1.0×	105 1.0×	23 0.3×	19	760
Qun Zhao	253 0.8×	90 0.5×	45 0.3×	48 0.5×	82 1.2×	50	699
Zheng Tian	404 1.2×	77 0.4×	51 0.3×	76 0.7×	75 1.1×	54	691
Cheng Chang	273 0.8×	121 0.6×	166 1.1×	93 0.9×	17 0.2×	29	744

Countries citing papers authored by Jae H. Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jae H. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae H. Chang

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