C.C. Chang

1.4k citations
51 papers · 1.3k · h-index 21

Impact in

Papers in

C.C. Chang

51 papers receiving 1.2k citations

Peers

C.C. Chang
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 215
  • Neurology 165
  • Genetics 323
  • Molecular Biology 615
  • Anesthesiology and Pain Medicine 66
Replace S.J. Hong with:
S.J. Hong Taiwan
Walter F. Riker United States
Robert J. McIsaac United States
E. M. Landau Australia
Géza Berecki Australia
Rafael González‐Cano Spain
Maria Domenica Sanna Italy
Leslie C. Blaber United Kingdom
Barbara Balestra Italy
C H Wu United States
C.C. Chang relative to S.J. Hong Taiwan S.J. Hong's profile →
Citations per field
00.5×2×4×6.3×
S.J. Hong · 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 196682
2 197380
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 199943
12 199538
13 197335
14 196732
15 197431
16 196729
17 199129
18 198628
19 197026
20 198724

About C.C. Chang

C.C. Chang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Genetics and Neurology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (28 papers), Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Venomous Animal Envenomation and Studies (8 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Receptor Mechanisms and Signaling (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (215 citations), Neurology (165 citations), Genetics (323 citations), Molecular Biology (615 citations) and Anesthesiology and Pain Medicine (66 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, Alan R. Coulter, S.K. Sutherland, Lih‐Chu Chiou, Chin‐Yun Lee, Jong‐Hoon Kim and Sang‐Mok Lee. Their work appears in journals such as British Journal of Pharmacology, Toxicon, Neuropharmacology, Neuroscience and The Journal of Physiology.

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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