John E. T. Corrie

155 papers receiving 6.8k citations

Peers

John E. T. Corrie
Comparison fields: 5 of 142
  • Biophysics 586
  • Structural Biology 108
  • Cellular and Molecular Neuroscience 1.3k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Molecular Biology 3.3k
Replace David R. Trentham with:
David R. Trentham United Kingdom
Paavo K.J. Kinnunen Finland
Akira Ikegami Japan
Chikashi Toyoshima Japan
Juan Llopis Spain
J. Antoinette Killian Netherlands
Takashi Kumasaka Japan
Jesper V. Møller Denmark
Roderick Capaldi United States
Sherwin S. Lehrer United States
John E. T. Corrie relative to David R. Trentham United Kingdom David R. Trentham's profile →
Citations per field
00.5×2×2.8×
David R. Trentham · 1×
Citations per year

Countries citing papers authored by John E. T. Corrie

Since Specialization
Citations

This map shows the geographic impact of John E. T. Corrie'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 John E. T. Corrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. T. Corrie more than expected).

Fields of papers citing papers by John E. T. Corrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. T. Corrie. 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 John E. T. Corrie. The network helps show where John E. T. Corrie may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994421
2 2003387
3 1988360
4 1988338
5 2010336
6 2001191
7 1999187
8 1995166
9 1998162
10 1999121
11 2003109
12 1997107
13 1995107
14 1997102
15 2000100
16 197287
17 199486
18 199579
19 199478
20 199978

About John E. T. Corrie

John E. T. Corrie is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 159 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (24 papers), Photochromic and Fluorescence Chemistry (22 papers), Photoreceptor and optogenetics research (19 papers), Radical Photochemical Reactions (14 papers), Neuroscience and Neuropharmacology Research (13 papers), Muscle Physiology and Disorders (13 papers), Photochemistry and Electron Transfer Studies (13 papers) and Chemical Reaction Mechanisms (12 papers). The work is most often cited by research in Biophysics (586 citations), Structural Biology (108 citations), Cellular and Molecular Neuroscience (1.3k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Molecular Biology (3.3k citations). John E. T. Corrie has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include George Papageorgiou, David R. Trentham, Martin R. Webb, Martin Brune, C.R.W. Edwards, Paul M. Stewart, Yale E. Goldman, Jackie L. Hunter, Andreas Barth and David Ogden. Their work appears in journals such as Journal of the Chemical Society Perkin Transactions 1, Biophysical Journal, Biochemistry, Journal of the American Chemical Society and Tetrahedron.

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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