Darrell Moore

1.7k citations
51 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Darrell Moore

50 papers receiving 1.2k citations

Peers

Darrell Moore
Comparison fields: 5 of 68
  • Ecology, Evolution, Behavior and Systematics 907
  • Insect Science 576
  • Genetics 897
  • Cellular and Molecular Neuroscience 500
  • Endocrine and Autonomic Systems 161
Replace Laurie Tompkins with:
Laurie Tompkins United States
Masayuki Koganezawa Japan
Andrew M. Dacks United States
Jean‐Marc Lassance Sweden
Jean‐Christophe Billeter Netherlands
Axel Brockmann India
C.G.H. Steel Canada
Stephanie M. Rollmann United States
Kathrin Steck Germany
Ann E. Kammer United States
Darrell Moore relative to Laurie Tompkins United States Laurie Tompkins's profile →
Citations per field
00.5×7.5×
Laurie Tompkins · 1×
Citations per year

Countries citing papers authored by Darrell Moore

Since Specialization
Citations

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

Fields of papers citing papers by Darrell Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998139
2 2000133
3 2001122
4 1998111
5 198984
6 198562
7 199350
8 198336
9 201136
10 200934
11 202033
12 198432
13 201129
14 201127
15 201227
16 198926
17 201123
18 201219
19 199519
20 201019

About Darrell Moore

Darrell Moore is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Cellular and Molecular Neuroscience and Ecology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (34 papers), Plant and animal studies (27 papers), Neurobiology and Insect Physiology Research (19 papers), Insect and Pesticide Research (17 papers), Circadian rhythm and melatonin (5 papers), Cephalopods and Marine Biology (4 papers), Insect behavior and control techniques (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (907 citations), Insect Science (576 citations), Genetics (897 citations), Cellular and Molecular Neuroscience (500 citations) and Endocrine and Autonomic Systems (161 citations). Darrell Moore has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Mary Ann Rankin, Gene E. Robinson, Susan E. Fahrbach, James L. Larimer, Guy Bloch, Sarah M. Farris, Elizabeth A. Capaldi, J. Angel, Iain M. Cheeseman and Richard Ashby Wilson. Their work appears in journals such as Physiological Entomology, Journal of Comparative Physiology A, Journal of Insect Physiology, Journal of Arachnology and Journal of Experimental Biology.

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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