Stephen M. W. Chang

12 total papers · 586 total citations
11 papers, 464 citations indexed

About

Stephen M. W. Chang is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Stephen M. W. Chang has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Stephen M. W. Chang's work include Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (3 papers) and CRISPR and Genetic Engineering (3 papers). Stephen M. W. Chang is often cited by papers focused on Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (3 papers) and CRISPR and Genetic Engineering (3 papers). Stephen M. W. Chang collaborates with scholars based in United States, Poland and Canada. Stephen M. W. Chang's co-authors include Kay Townsend, David A. Driver, Thomas W. Dubensky, John M. Polo, Barbara Belli, Mangala J. Hariharan, Steven J. Mento, James E. McCormack, Duane Brumm and Theresa A. Banks and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

In The Last Decade

Stephen M. W. Chang

11 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Stephen M. W. Chang	229	212	148	142	130	11	464
Yadvinder S. Ahi	204 0.9×	205 1.0×	150 1.0×	121 0.9×	94 0.7×	12	458
Elena A. Prikhod’ko	84 0.4×	224 1.1×	151 1.0×	169 1.2×	88 0.7×	11	525
Ann Demogines	169 0.7×	209 1.0×	151 1.0×	77 0.5×	64 0.5×	13	498
G. Cox	117 0.5×	128 0.6×	163 1.1×	129 0.9×	185 1.4×	17	488
Cheng Xiong	127 0.6×	170 0.8×	160 1.1×	94 0.7×	76 0.6×	14	485
Silvia Loureiro	66 0.3×	177 0.8×	156 1.1×	160 1.1×	80 0.6×	7	545
Elena Feduchi	104 0.5×	150 0.7×	129 0.9×	138 1.0×	118 0.9×	12	446
Fiona T. van den Berg	79 0.3×	268 1.3×	150 1.0×	80 0.6×	98 0.8×	6	414
Beth Ann Antoni	197 0.9×	194 0.9×	121 0.8×	136 1.0×	113 0.9×	8	431
Alicia R. Berard	101 0.4×	145 0.7×	167 1.1×	168 1.2×	119 0.9×	20	444

Countries citing papers authored by Stephen M. W. Chang

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. W. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. W. 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 Stephen M. W. Chang. The network helps show where Stephen M. W. Chang may publish in the future.

Co-authorship network of co-authors of Stephen M. W. Chang

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