Bryan D. Devan

2.0k citations
26 papers · 1.5k · h-index 17

Impact in

Papers in

Bryan D. Devan

26 papers receiving 1.5k citations

Peers

Bryan D. Devan
Comparison fields: 5 of 103
  • Behavioral Neuroscience 154
  • Cognitive Neuroscience 832
  • Cellular and Molecular Neuroscience 756
  • Developmental Neuroscience 86
  • Endocrine and Autonomic Systems 135
Replace Yves Lamberty with:
Yves Lamberty Belgium
Antonella Gasbarri Italy
Ming Teng Koh United States
Juliana Sartori Bonini Brazil
Nancy S. Hong Canada
Paul J. Colombo United States
J. L. Muir United Kingdom
M. Matthew Oh United States
Maria Gabriela Menezes Oliveira Brazil
Siobhan Robinson United States
Bryan D. Devan relative to Yves Lamberty Belgium Yves Lamberty's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bryan D. Devan

Since Specialization
Citations

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

Fields of papers citing papers by Bryan D. Devan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999297
2 1999251
3 1996176
4 2001118
5 200795
6 201191
7 200476
8 200475
9 200570
10 200456
11 200733
12 201428
13 200427
14 200822
15 199221
16 199219
17 200316
18 200213
19 201612
20 201011

About Bryan D. Devan

Bryan D. Devan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Physiology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (19 papers), Neuroscience and Neuropharmacology Research (10 papers), Zebrafish Biomedical Research Applications (6 papers), Phosphodiesterase function and regulation (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Neural dynamics and brain function (3 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (154 citations), Cognitive Neuroscience (832 citations), Cellular and Molecular Neuroscience (756 citations), Developmental Neuroscience (86 citations) and Endocrine and Autonomic Systems (135 citations). Bryan D. Devan has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Norman M. White, Robert J. McDonald, Nancy S. Hong, Herbert L. Petri, Edward L. Spangler, Kara B. Duffy, Jonna L. Bowker, Donald K. Ingram, D A Ingram and Paul J. Pistell. Their work appears in journals such as Behavioural Brain Research, Neurobiology of Learning and Memory, Neuroscience & Biobehavioral Reviews, Behavioural Pharmacology and Journal of Neuroscience.

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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