Steven E. Brauth

92 papers receiving 2.6k citations

Peers

Steven E. Brauth
Comparison fields: 5 of 117
  • Developmental Biology 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Cellular and Molecular Neuroscience 885
  • Endocrine and Autonomic Systems 196
  • Developmental Neuroscience 119
Replace Toshiya Matsushima with:
Toshiya Matsushima Japan
Timothy J. DeVoogd United States
H. Philip Zeigler United States
Ann B. Butler United States
Georg F. Striedter United States
Walter Wilczynski United States
J.B. Hutchison United Kingdom
Darcy B. Kelley United States
Verner P. Bingman United States
Luke Remage‐Healey United States
Steven E. Brauth relative to Toshiya Matsushima Japan Toshiya Matsushima's profile →
Citations per field
00.5×1.5×1.8×
Toshiya Matsushima · 1×
Citations per year

Countries citing papers authored by Steven E. Brauth

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Brauth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Brauth. 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 Steven E. Brauth. The network helps show where Steven E. Brauth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984248
2 1978126
3 1981118
4 1985109
5 1989106
6 1980103
7 1986101
8 198697
9 198095
10 199791
11 198382
12 197780
13 198271
14 197161
15 198558
16 197755
17 201552
18 199150
19 198449
20 198742

About Steven E. Brauth

Steven E. Brauth is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics, Ecology, Cellular and Molecular Neuroscience and Social Psychology, having authored 92 papers that have together received 2.8k indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (54 papers), Animal Behavior and Reproduction (45 papers), Marine animal studies overview (24 papers), Primate Behavior and Ecology (15 papers), Amphibian and Reptile Biology (14 papers), Neurobiology and Insect Physiology Research (8 papers), Neural dynamics and brain function (7 papers) and Animal Nutrition and Physiology (6 papers). The work is most often cited by research in Developmental Biology (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations), Cellular and Molecular Neuroscience (885 citations), Endocrine and Autonomic Systems (196 citations) and Developmental Neuroscience (119 citations). Steven E. Brauth has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Cheryl A. Kitt, Harvey J. Karten, Anton Reiner, C. A. Kitt, James T. Heaton, Yezhong Tang, Barbara J. Winterson, Jianguo Cui, William S. Hall and John L. Ferguson. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, PLoS ONE, Neuroscience and Neurobiology of Learning and Memory.

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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