Ray Chang

16 total papers · 2.0k total citations
13 papers, 810 citations indexed

About

Ray Chang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Ray Chang has authored 13 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Ray Chang's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Neuropeptides and Animal Physiology (4 papers) and Ion channel regulation and function (3 papers). Ray Chang is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Neuropeptides and Animal Physiology (4 papers) and Ion channel regulation and function (3 papers). Ray Chang collaborates with scholars based in United States. Ray Chang's co-authors include Dane E. Karr, Donald E. Schmidt, Bret M. Benton, Robert Cass, Dmitri Debabov, Koné Kaniga, Qiufeng Gao, Joey Leung, Kevin M. Krause and Jeffrey M. Hubbard and has published in prestigious journals such as Science, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Ray Chang

13 papers receiving 767 citations

Author Peers

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

Author						Papers	Cites
Ray Chang	376	216	208	171	110	13	810
James R. Blinn	425 1.1×	214 1.0×	114 0.5×	74 0.4×	123 1.1×	16	919
William J. Novick	144 0.4×	72 0.3×	145 0.7×	175 1.0×	54 0.5×	23	707
Peter A. Smith	605 1.6×	212 1.0×	75 0.4×	161 0.9×	127 1.2×	31	1.0k
Heather A. Friedel	197 0.5×	62 0.3×	75 0.4×	149 0.9×	54 0.5×	11	795
Charlotte K. Colenso	416 1.1×	69 0.3×	133 0.6×	183 1.1×	56 0.5×	17	1.0k
Jyoti Tanwar	306 0.8×	45 0.2×	87 0.4×	59 0.3×	72 0.7×	20	852
James G. Christenson	407 1.1×	240 1.1×	40 0.2×	157 0.9×	96 0.9×	23	886
E T Lin	190 0.5×	85 0.4×	139 0.7×	289 1.7×	42 0.4×	23	945
P. H. BENTLEY	291 0.8×	74 0.3×	56 0.3×	189 1.1×	284 2.6×	33	805
Zhiguang Jia	500 1.3×	97 0.4×	79 0.4×	78 0.5×	79 0.7×	30	735

Countries citing papers authored by Ray Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ray Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Chang

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