W. V. Brown

1.2k citations
33 papers · 947 · h-index 19

Impact in

Papers in

W. V. Brown

33 papers receiving 882 citations

Peers

W. V. Brown
Comparison fields: 5 of 67
  • Insect Science 450
  • Ecology, Evolution, Behavior and Systematics 501
  • Genetics 327
  • Ecology 171
  • Developmental Biology 14
Replace Tappey H. Jones with:
Tappey H. Jones United States
Scott R. Smedley United States
Meena Haribal United States
Blanka Kalinová Czechia
C. M. Naumann Germany
Maria Eisner United States
H. Arn Switzerland
K. W. Vick United States
Till Tolasch Germany
Glenn P. Svensson Sweden
W. V. Brown relative to Tappey H. Jones United States Tappey H. Jones's profile →
Citations per field
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Tappey H. Jones · 1×
Citations per year

Countries citing papers authored by W. V. Brown

Since Specialization
Citations

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

Fields of papers citing papers by W. V. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. V. Brown. 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 W. V. Brown. The network helps show where W. V. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990126
2 1993109
3 1984100
4 198160
5 200259
6 199054
7 199753
8 197136
9 199129
10 197328
11 197427
12 199225
13 198922
14 197922
15 199821
16 197820
17
Preliminary examination of cuticular hydrocarbons of worker termites as chemotaxonomic characters for some Australian species of Coptotermes (Isoptera: Rhinotermitidae).
199019
18 199218
19 200018
20 199014

About W. V. Brown

W. V. Brown is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Ecology, Genetics and Plant Science, having authored 33 papers that have together received 947 indexed citations. Recurring topics across this work include Insect and Pesticide Research (11 papers), Insect and Arachnid Ecology and Behavior (10 papers), Forest Insect Ecology and Management (10 papers), Plant and animal studies (9 papers), Insect Pest Control Strategies (5 papers), Coleoptera Taxonomy and Distribution (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect Pheromone Research and Control (4 papers). The work is most often cited by research in Insect Science (450 citations), Ecology, Evolution, Behavior and Systematics (501 citations), Genetics (327 citations), Ecology (171 citations) and Developmental Biology (14 citations). W. V. Brown has collaborated with scholars based in Australia, Czechia and Jordan. Frequent co-authors include B. P. Moore, Miriam Rothschild, Barry P. Moore, Penelope B. Edwards, Wolfgang Wanjura, Michael J. Lacey, J. P. Spradbery, Mark A. Elgar, Rachel A. Allan and Robert J. Capon. Their work appears in journals such as Journal of Chemical Ecology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Journal of Chromatography A, Journal of Insect Physiology and Analytical Biochemistry.

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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