Brian Keane

2.0k total citations
57 papers, 1.5k citations indexed

About

Brian Keane is a scholar working on Ecology, Evolution, Behavior and Systematics, Social Psychology and Ecology. According to data from OpenAlex, Brian Keane has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, Evolution, Behavior and Systematics, 28 papers in Social Psychology and 18 papers in Ecology. Recurrent topics in Brian Keane's work include Neuroendocrine regulation and behavior (24 papers), Animal Ecology and Behavior Studies (16 papers) and Animal Behavior and Reproduction (15 papers). Brian Keane is often cited by papers focused on Neuroendocrine regulation and behavior (24 papers), Animal Ecology and Behavior Studies (16 papers) and Animal Behavior and Reproduction (15 papers). Brian Keane collaborates with scholars based in United States, Canada and Sri Lanka. Brian Keane's co-authors include Peter M. Waser, Nancy G. Solomon, Steven N. Austad, Steven H. Rogstad, Scott Creel, Matthew H. Collier, Dennis J. Minchella, Lee F. Elliott, Karen E. Mabry and Jodi R. Shann and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and The American Naturalist.

In The Last Decade

Brian Keane

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Keane United States 21 863 566 484 390 210 57 1.5k
Donald Blomqvist Sweden 24 1.2k 1.4× 1.3k 2.3× 147 0.3× 338 0.9× 62 0.3× 63 2.1k
Eduardo S. A. Santos Brazil 15 954 1.1× 688 1.2× 98 0.2× 274 0.7× 90 0.4× 35 1.8k
Bram Kuijper United Kingdom 19 588 0.7× 239 0.4× 88 0.2× 371 1.0× 144 0.7× 36 1.0k
Birgitta Sillén‐Tullberg Sweden 20 1.3k 1.5× 299 0.5× 148 0.3× 596 1.5× 69 0.3× 26 1.5k
Matthew B. V. Bell United Kingdom 22 886 1.0× 515 0.9× 257 0.5× 191 0.5× 107 0.5× 36 1.2k
William E. Feeney Australia 15 904 1.0× 760 1.3× 150 0.3× 217 0.6× 63 0.3× 42 1.4k
Peter J. Fashing United States 27 766 0.9× 815 1.4× 1.3k 2.7× 169 0.4× 62 0.3× 64 2.0k
Julia B. Saltz United States 16 760 0.9× 247 0.4× 131 0.3× 416 1.1× 59 0.3× 35 1.2k
Angela J. Crean Australia 21 641 0.7× 421 0.7× 99 0.2× 435 1.1× 99 0.5× 42 1.6k
Tim Janicke France 22 1.1k 1.2× 401 0.7× 55 0.1× 682 1.7× 180 0.9× 50 1.4k

Countries citing papers authored by Brian Keane

Since Specialization
Citations

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

Fields of papers citing papers by Brian Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Keane

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Keane. A scholar is included among the top collaborators of Brian Keane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Keane. Brian Keane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Solomon, Nancy G., et al.. (2025). Methods for measuring fine-scale social proximity in small mammals. Journal of Mammalogy. 106(4). 1035–1044.
3.
Perry, Adam N., et al.. (2021). Medial amygdala ERα expression influences monogamous behaviour of male prairie voles in the field. Proceedings of the Royal Society B Biological Sciences. 288(1956). 20210318–20210318. 7 indexed citations
4.
Yee, Jason R., Praveen Kulkarni, Nancy G. Solomon, et al.. (2020). Differences in Diffusion-Weighted Imaging and Resting-State Functional Connectivity Between Two Culturally Distinct Populations of Prairie Vole. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 7(6). 588–597. 6 indexed citations
5.
Shuster, Stephen M., et al.. (2019). Alternative Mating Tactics in Socially Monogamous Prairie Voles, Microtus ochrogaster. Frontiers in Ecology and Evolution. 7. 20 indexed citations
6.
Keane, Brian, et al.. (2019). Influence of Vegetation Characteristics at and Near Nests on Female Prairie Vole (Microtus ochrogaster) Survival and Reproductive Success. The American Midland Naturalist. 181(2). 170–170. 1 indexed citations
7.
Solomon, Nancy G., et al.. (2016). Male prairie voles with different avpr1a microsatellite lengths do not differ in courtship behaviour. Behavioural Processes. 128. 53–57. 2 indexed citations
8.
Keane, Brian, et al.. (2015). Fine-scale spatial patterns of genetic relatedness among resident adult prairie voles. Journal of Mammalogy. 96(6). 1194–1202. 5 indexed citations
9.
Keane, Brian, et al.. (2014). The role of avpr1a microsatellite length on reproductive success of female Microtus ochrogaster. Behaviour. 151(8). 1185–1207. 2 indexed citations
10.
George, Joey F., et al.. (2011). Reviewers and the Detection of Deceptive Information in Recorded Interviews. Journal of Applied Social Psychology. 41(2). 252–269. 5 indexed citations
11.
Mabry, Karen E., et al.. (2010). avpr1a length polymorphism is not associated with either social or genetic monogamy in free-living prairie voles. Animal Behaviour. 81(1). 11–18. 48 indexed citations
12.
Solomon, Nancy G., Paul A. Harding, Alison B. Wismer Fries, et al.. (2009). Polymorphism at the avpr1a locus in male prairie voles correlated with genetic but not social monogamy in field populations. Molecular Ecology. 18(22). 4680–4695. 52 indexed citations
13.
Keane, Brian, et al.. (2004). Factors Determining Digital Imaging Technology Adoption in Small Business. Journal of the Association for Information Systems. 55. 2 indexed citations
14.
Rogstad, Steven H., Brian Keane, & Matthew H. Collier. (2003). Minisatellite DNA mutation rate in dandelions increases with leaf-tissue concentrations of Cr, Fe, Mn, and Ni. Environmental Toxicology and Chemistry. 22(9). 2093–2099. 22 indexed citations
15.
Mayer, Audrey L., Brian Keane, Jeffrey A. Markert, et al.. (2002). Scaling Natal Dispersal Distances: Confounding Factors. SHILAP Revista de lepidopterología. 6(1). 2 indexed citations
16.
Keane, Brian, Matthew H. Collier, Jodi R. Shann, & Steven H. Rogstad. (2001). Metal content of dandelion (Taraxacum officinale) leaves in relation to soil contamination and airborne particulate matter. The Science of The Total Environment. 281(1-3). 63–78. 85 indexed citations
17.
Davis, Corey S., Brian Keane, Bradley Jay Swanson, et al.. (2000). Characterization of microsatellite loci in bannertailed and giant kangaroo rats, Dipodomys spectabilis and Dipodomys ingens. Molecular Ecology. 9(5). 642–644. 17 indexed citations
18.
Keane, Brian, Wolfgang P. J. Dittus, & Don J. Melnick. (1997). Paternity assessment in wild groups of toque macaques Macaca sinica at Polonnaruwa, Sri Lanka using molecular markers. Molecular Ecology. 6(3). 267–282. 54 indexed citations
19.
Keane, Brian. (1990). Dispersal and inbreeding avoidance in the white-footed mouse, Peromyscus leucopus. Animal Behaviour. 40(1). 143–152. 50 indexed citations
20.
McEvoy, T.G., et al.. (1987). Direct gene transfer by microinjection. Theriogenology. 27(1). 258–258. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026