Robert D. Reed

9.5k citations
95 papers · 4.0k · h-index 37

Impact in

Papers in

Robert D. Reed

92 papers receiving 3.8k citations

Peers

Robert D. Reed
Comparison fields: 5 of 137
  • Ecology, Evolution, Behavior and Systematics 2.0k
  • Genetics 2.2k
  • Cellular and Molecular Neuroscience 850
  • Insect Science 456
  • Ecological Modeling 112
Replace Antónia Monteiro with:
Antónia Monteiro Singapore
Arnaud Martin United States
Ehab Abouheif Canada
Ian Dworkin United States
Mauro Santos Spain
Karen Meusemann Germany
Alexander S. Mikheyev Japan
Willie J. Swanson United States
James H. Marden United States
Christopher W. Wheat Sweden
Robert D. Reed relative to Antónia Monteiro Singapore Antónia Monteiro's profile →
Citations per field
00.5×1.5×
Antónia Monteiro · 1×
Citations per year

Countries citing papers authored by Robert D. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011338
2 2014271
3 2012191
4 2004140
5 2010129
6 2017120
7 2016111
8 2017110
9 2014105
10 2001105
11 2017102
12 199999
13 201496
14 201090
15 201188
16 201985
17 200583
18 201181
19 200775
20 201075

About Robert D. Reed

Robert D. Reed is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Cellular and Molecular Neuroscience and Plant Science, having authored 95 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lepidoptera: Biology and Taxonomy (29 papers), Animal Behavior and Reproduction (24 papers), Plant and animal studies (20 papers), Neurobiology and Insect Physiology Research (16 papers), Genetic diversity and population structure (14 papers), Chromosomal and Genetic Variations (7 papers), Genomics and Phylogenetic Studies (7 papers) and Insect and Arachnid Ecology and Behavior (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (2.0k citations), Genetics (2.2k citations), Cellular and Molecular Neuroscience (850 citations), Insect Science (456 citations) and Ecological Modeling (112 citations). Robert D. Reed has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Arnaud Martin, Linlin Zhang, W. Owen McMillan, Riccardo Papa, Marcus R. Kronforst, Adriana D. Briscoe, Felix A. H. Sperling, Anyi Mazo‐Vargas, James J. Lewis and Brian A. Counterman. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics, Evolution & Development, Molecular Biology and Evolution and Science.

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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