Kevin Redding

6.0k citations
87 papers · 3.7k · h-index 33

Impact in

Papers in

Kevin Redding

87 papers receiving 3.7k citations

Peers

Kevin Redding
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 883
  • Molecular Biology 3.1k
  • Renewable Energy, Sustainability and the Environment 729
  • Cell Biology 616
  • Atomic and Molecular Physics, and Optics 675
Replace Noam Adir with:
Noam Adir Israel
John Biggins United States
Ronald W. Visschers Netherlands
Li-Shar Huang United States
H. Zuber Switzerland
Conrad W. Mullineaux United Kingdom
Yuichiro Takahashi Japan
Steven M. Theg United States
Jon Nield United Kingdom
Enrico Schleiff Germany
Kevin Redding relative to Noam Adir Israel Noam Adir's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Kevin Redding

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Redding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001250
2 1991243
3 1991216
4 1992194
5 2007157
6 2015151
7 2000131
8 2017130
9 1996127
10 2010112
11 198996
12 201188
13 199885
14 201180
15 201276
16 200275
17 200668
18 200061
19 202060
20 202256

About Kevin Redding

Kevin Redding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Renewable Energy, Sustainability and the Environment and Ecology, having authored 87 papers that have together received 3.7k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (75 papers), Photoreceptor and optogenetics research (30 papers), Spectroscopy and Quantum Chemical Studies (24 papers), Mitochondrial Function and Pathology (17 papers), Algal biology and biofuel production (11 papers), Microbial Community Ecology and Physiology (9 papers), ATP Synthase and ATPases Research (8 papers) and Light effects on plants (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (883 citations), Molecular Biology (3.1k citations), Renewable Energy, Sustainability and the Environment (729 citations), Cell Biology (616 citations) and Atomic and Molecular Physics, and Optics (675 citations). Kevin Redding has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Robert S. Fuller, Cherie L. Holcomb, Laurent Cournac, Gilles Peltier, Anne Joliot, Mariana Guergova-Kuras, John H. Golbeck, Pierre Joliot, Robin Wright and Celeste A. Wilcox. Their work appears in journals such as Photosynthesis Research, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Biochemistry, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

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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