Dan Reed

24 papers receiving 1.1k citations

Peers

Dan Reed
Comparison fields: 5 of 84
  • Renewable Energy, Sustainability and the Environment 268
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 283
  • Biotechnology 102
  • Atomic and Molecular Physics, and Optics 296
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Martin D. Kamen United States
M. Avron Israel
J. Barber United Kingdom
John S. Rieske United States
Mitsuo Nishimura Japan
Jacques Ricard France
Zippora Gromet‐Elhanan Israel
Walter Sidler Switzerland
S. Izawa United States
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Citations per field
00.5×2.7×
Martin D. Kamen · 1×
Citations per year

Countries citing papers authored by Dan Reed

Since Specialization
Citations

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

Fields of papers citing papers by Dan Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968207
2 1967130
3 1973114
4 1972107
5 1969105
6 1968105
7 196978
8 197362
9 197061
10 197260
11 197253
12 197242
13 197534
14 196926
15 197020
16 197019
17 197117
18 197213
19 197613
20 197010

About Dan Reed

Dan Reed is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience, Cell Biology and Ecology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (11 papers), Algal biology and biofuel production (6 papers), Photoreceptor and optogenetics research (4 papers), Hemoglobin structure and function (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Microbial Community Ecology and Physiology (3 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (268 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (283 citations), Biotechnology (102 citations) and Atomic and Molecular Physics, and Optics (296 citations). Dan Reed has collaborated with scholars based in United States. Frequent co-authors include Roderick K. Clayton, Bacon Ke, K. Zankel, Dan Raveed, P. Leslie Dutton, Donald E. Hultquist, John S. Leigh, Darrell Fleischman, Richard G. Pannbacker and James R. Bolton. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Photochemistry and Photobiology.

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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