C.C. Chang

1.4k citations
51 papers · 1.3k · h-index 22

Impact in

Papers in

C.C. Chang

51 papers receiving 1.2k citations

Peers

C.C. Chang
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 413
  • Molecular Biology 892
  • Genetics 314
  • Neurology 141
  • Pharmacology 152
Replace Richard A. Keith with:
Richard A. Keith United States
William A. Schmalhofer United States
Birgit T. Priest United States
Patrick Nef Switzerland
R. C. Hogg United Kingdom
Tracy F. Uliasz United States
Rune Kleppe Norway
Robert J. McIsaac United States
Emmanuelle Girard France
A.A. Farooqui United States
C.C. Chang relative to Richard A. Keith United States Richard A. Keith's profile →
Citations per field
00.5×4.4×
Richard A. Keith · 1×
Citations per year

Countries citing papers authored by C.C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.C. Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.C. Chang Line = papers co-authored together C.C. Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197384
2 196682
3 198974
4 198465
5 199564
6 198357
7
Quercetin inhibits the 5-hydroxytryptamine type 3 receptor-mediated ion current by interacting with pre-transmembrane domain I.
200550
8 198649
9 200547
10 197346
11 199942
12 199539
13 197335
14 196732
15 197431
16 196730
17 199129
18 197026
19 198626
20 198724

About C.C. Chang

C.C. Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Environmental Chemistry and Genetics, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (37 papers), Nicotinic Acetylcholine Receptors Study (15 papers), Neuroscience and Neuropharmacology Research (12 papers), Pain Mechanisms and Treatments (10 papers), Neuroscience and Neural Engineering (10 papers), Marine Toxins and Detection Methods (10 papers), Venomous Animal Envenomation and Studies (8 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (413 citations), Molecular Biology (892 citations), Genetics (314 citations), Neurology (141 citations) and Pharmacology (152 citations). C.C. Chang has collaborated with scholars based in Taiwan, South Korea and Japan. Frequent co-authors include S.J. Hong, Ming‐Jai Su, Ta‐Fu Chen, Min‐Chuan Huang, C.Y. Lee, A.R. Coulter, S.K. Sutherland, Lih‐Chu Chiou, Chin‐Yun Lee and Jun‐Ho Lee. Their work appears in journals such as British Journal of Pharmacology, Toxicon, The Journal of Physiology, Neuroscience and Neuropharmacology.

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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