C C Chadwick

1.1k citations
13 papers · 1.0k · h-index 13

Impact in

Papers in

C C Chadwick

13 papers receiving 981 citations

Peers

C C Chadwick
Comparison fields: 5 of 77
  • Physiology 137
  • Sensory Systems 108
  • Cardiology and Cardiovascular Medicine 278
  • Cellular and Molecular Neuroscience 247
  • Molecular Biology 923
Replace Takaaki Ikemoto with:
Takaaki Ikemoto Japan
Neil R. Brandt United States
A.G. Filoteo United States
Valentina Lissandron Italy
Bahman Aghdasi United States
Sidney Fleischer United States
Robert M. Drummond United Kingdom
Ilse Sienaert Belgium
Yvonne Neldner Switzerland
Tsg-Hui Chang United States
C C Chadwick relative to Takaaki Ikemoto Japan Takaaki Ikemoto's profile →
Citations per field
00.5×1.5×
Takaaki Ikemoto · 1×
Citations per year

Countries citing papers authored by C C Chadwick

Since Specialization
Citations

This map shows the geographic impact of C C Chadwick'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 Chadwick 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 Chadwick more than expected).

Fields of papers citing papers by C C Chadwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C C Chadwick, 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 Chadwick Line = papers co-authored together C C Chadwick links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1990237
2 1989185
3 1986107
4 198678
5 199168
6 199266
7 199066
8 199258
9 199346
10 199245
11 198339
12 198824
13 198417

About C C Chadwick

C C Chadwick is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Nutrition and Dietetics, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (4 papers), Muscle Physiology and Disorders (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cellular transport and secretion (2 papers), Cardiomyopathy and Myosin Studies (2 papers), ATP Synthase and ATPases Research (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Physiology (137 citations), Sensory Systems (108 citations), Cardiology and Cardiovascular Medicine (278 citations), Cellular and Molecular Neuroscience (247 citations) and Molecular Biology (923 citations). C C Chadwick has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include A Saito, Sidney Fleischer, Sidney Fleischer, Makoto Inui, Andrew R. Marks, Bernardo Nadal‐Ginard, Paul Tempst, A.P. Timerman, M. Mayrleitner and Emrys W. Thomas. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Cell Biology and Biophysical Journal.

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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