Roger Nilsen

2.0k total citations
18 papers, 1.2k citations indexed

About

Roger Nilsen is a scholar working on Social Psychology, Molecular Biology and Microbiology. According to data from OpenAlex, Roger Nilsen has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Molecular Biology and 4 papers in Microbiology. Recurrent topics in Roger Nilsen's work include Neuroendocrine regulation and behavior (5 papers), Microbial infections and disease research (4 papers) and Virus-based gene therapy research (2 papers). Roger Nilsen is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Microbial infections and disease research (4 papers) and Virus-based gene therapy research (2 papers). Roger Nilsen collaborates with scholars based in United States, Australia and Jordan. Roger Nilsen's co-authors include Larry J. Young, Thomas R. Insel, James Winslow, Grant R. MacGregor, Katrina G. Waymire, Thomas R. Insel, Uma M. Nagarajan, Jeremy M. Boss, Pascale Louis‐Plence and Timothy D. O’Hara and has published in prestigious journals such as Nature, Immunity and The Journal of Immunology.

In The Last Decade

Roger Nilsen

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger Nilsen United States 11 670 292 222 186 161 18 1.2k
Patrick T. Mehlman United States 18 811 1.2× 166 0.6× 140 0.6× 40 0.2× 64 0.4× 21 1.4k
Maria Emília Yamamoto Brazil 18 485 0.7× 89 0.3× 97 0.4× 46 0.2× 54 0.3× 54 1.0k
Richmond R. Thompson United States 21 1.7k 2.5× 656 2.2× 82 0.4× 219 1.2× 32 0.2× 40 2.3k
Frederick H. Wegner United States 11 426 0.6× 108 0.4× 253 1.1× 59 0.3× 36 0.2× 13 919
Edwin M. Banks United States 24 801 1.2× 123 0.4× 67 0.3× 92 0.5× 108 0.7× 61 1.9k
Juri Suzuki Japan 18 301 0.4× 85 0.3× 74 0.3× 49 0.3× 51 0.3× 64 920
Barbara H. Fadem United States 18 460 0.7× 57 0.2× 154 0.7× 62 0.3× 40 0.2× 52 1.2k
Katharine Semsar United States 15 352 0.5× 77 0.3× 67 0.3× 36 0.2× 67 0.4× 18 930
Glayde Whitney United States 30 986 1.5× 106 0.4× 310 1.4× 240 1.3× 23 0.1× 87 2.6k
J. Balthazart Belgium 29 1.0k 1.5× 89 0.3× 255 1.1× 231 1.2× 71 0.4× 64 2.9k

Countries citing papers authored by Roger Nilsen

Since Specialization
Citations

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

Fields of papers citing papers by Roger Nilsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Nilsen

This figure shows the co-authorship network connecting the top 25 collaborators of Roger Nilsen. A scholar is included among the top collaborators of Roger Nilsen 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 Roger Nilsen. Roger Nilsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Hawkins, Michelle G., M. Kevin Keel, T. Ross Kelly, et al.. (2025). Chlamydial infections in free-ranging raptors presenting to a university veterinary medical teaching hospital (1993–2022). American Journal of Veterinary Research. 86(3).
2.
Hernández, Sonia M., Maureen H. Murray, Lisa A. Hoopes, et al.. (2023). An Acute Mortality Event Associated with Novel Macrorhabdus ornithogaster Infection and Underlying Factors in a Newly-Established Captive Group of American White Ibis (Eudocimus albus) Nestlings. Journal of Wildlife Diseases. 59(4). 759–766. 1 indexed citations
3.
Nilsen, Roger, et al.. (2023). Detection of skunk adenovirus-1 in domestic ferrets (Mustela putorius). Veterinary Pathology. 61(1). 135–139. 1 indexed citations
4.
Seibert, Brittany, M. Kevin Keel, T. Ross Kelly, et al.. (2021). Chlamydia buteonis in birds of prey presented to California wildlife rehabilitation facilities. PLoS ONE. 16(10). e0258500–e0258500. 6 indexed citations
5.
Gottdenker, Nicole L., et al.. (2019). Histopathologic Changes, Ultrastructure, and Molecular Characterization of an Adenovirus in a Sun Conure (Aratinga solstitialis). Avian Diseases. 63(3). 531–531. 4 indexed citations
6.
Deng, Zhian, James W. Griffith, Roger Nilsen, et al.. (2018). Ensemble methods for stochastic networks with special reference to the biological clock of Neurospora crassa. PLoS ONE. 13(5). e0196435–e0196435. 11 indexed citations
7.
Hugall, Andrew F., et al.. (2015). An Exon-Capture System for the Entire Class Ophiuroidea. Molecular Biology and Evolution. 33(1). 281–294. 86 indexed citations
8.
Tang, Xiaojia, Wubei Dong, James W. Griffith, et al.. (2011). Systems Biology of the qa Gene Cluster in Neurospora crassa. PLoS ONE. 6(6). e20671–e20671. 18 indexed citations
9.
Dong, Wubei, Xiaojia Tang, Roger Nilsen, et al.. (2008). Systems Biology of the Clock in Neurospora crassa. PLoS ONE. 3(8). e3105–e3105. 80 indexed citations
10.
Dong, Wubei, James W. Griffith, Roger Nilsen, et al.. (2007). Genome-wide expression analysis of genetic networks in Neurospora crassa. Bioinformation. 1(10). 390–395. 5 indexed citations
11.
Dong, Wubei, Xu Tang, Yanping Yu, et al.. (2007). Systems biology of the Neurospora biological clock. IET Systems Biology. 1(5). 257–265. 7 indexed citations
12.
Nagarajan, Uma M., Xinjian Chen, Guy Beresford, et al.. (2002). Class II Transactivator Is Required for Maximal Expression of HLA-DOB in B Cells. The Journal of Immunology. 168(4). 1780–1786. 38 indexed citations
13.
Young, Larry J., Roger Nilsen, Katrina G. Waymire, Grant R. MacGregor, & Thomas R. Insel. (1999). Increased affiliative response to vasopressin in mice expressing the V1a receptor from a monogamous vole. Nature. 400(6746). 766–768. 367 indexed citations
14.
Nagarajan, Uma M., et al.. (1999). RFX-B Is the Gene Responsible for the Most Common Cause of the Bare Lymphocyte Syndrome, an MHC Class II Immunodeficiency. Immunity. 10(2). 153–162. 143 indexed citations
15.
Young, Larry J., et al.. (1997). The 5’ Flanking Region of the Monogamous Prairie Vole Oxytocin Receptor Gene Directs Tissue‐Specific Expression in Transgenic Mice. Annals of the New York Academy of Sciences. 807(1). 514–517. 17 indexed citations
16.
Young, Larry J., James Winslow, Roger Nilsen, & Thomas R. Insel. (1997). Species differences in V₁a receptor gene expression in monogamous and nonmonogamous voles: Behavioral consequences.. Behavioral Neuroscience. 111(3). 599–605. 164 indexed citations
17.
Young, Larry J., James Winslow, Roger Nilsen, & Thomas R. Insel. (1997). Species differences in V-sub-1a receptor gene expression in monogamous and nonmonogamous voles: Behavioral consequences.. Behavioral Neuroscience. 111(3). 599–605. 188 indexed citations
18.
Young, Larry J., et al.. (1996). Species Differences in Central Oxytocin Receptor Gene Expression: Comparative Analysis of Promoter Sequences. Journal of Neuroendocrinology. 8(10). 777–783. 84 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.

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