R Brown

1.4k total citations
29 papers, 925 citations indexed

About

R Brown is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, R Brown has authored 29 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Genetics. Recurrent topics in R Brown's work include Fish Ecology and Management Studies (3 papers), Reproductive System and Pregnancy (3 papers) and Gut microbiota and health (3 papers). R Brown is often cited by papers focused on Fish Ecology and Management Studies (3 papers), Reproductive System and Pregnancy (3 papers) and Gut microbiota and health (3 papers). R Brown collaborates with scholars based in United States, United Kingdom and Australia. R Brown's co-authors include Irene Salinas, Gregory D. Wiens, Robert D. Norris, Perry L. McCarty, Robert C. Borden, E. J. Bouwer, Martin Reinhard, Lewis Semprini, John T. Wilson and Timothy M. Vogel and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and PLoS Biology.

In The Last Decade

R Brown

28 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Brown United States 16 261 176 144 118 96 29 925
Yi Qian China 19 308 1.2× 227 1.3× 67 0.5× 47 0.4× 143 1.5× 57 1.1k
Naohiro Noda Japan 20 456 1.7× 283 1.6× 43 0.3× 88 0.7× 148 1.5× 75 1.3k
Yuting Hu China 20 488 1.9× 263 1.5× 128 0.9× 19 0.2× 95 1.0× 62 1.3k
Hairui Zhang China 17 383 1.5× 104 0.6× 58 0.4× 31 0.3× 65 0.7× 64 936
Junwei Wu China 16 414 1.6× 94 0.5× 126 0.9× 27 0.2× 63 0.7× 71 1.1k
Lisa M. Reece United States 17 259 1.0× 185 1.1× 114 0.8× 26 0.2× 208 2.2× 55 1.5k
Heidi H. Hau United States 6 504 1.9× 63 0.4× 153 1.1× 312 2.6× 87 0.9× 8 962
Haizhen Wang China 20 435 1.7× 162 0.9× 93 0.6× 21 0.2× 44 0.5× 55 1.2k
Jaejoon Jung South Korea 23 765 2.9× 377 2.1× 83 0.6× 108 0.9× 114 1.2× 79 1.8k

Countries citing papers authored by R Brown

Since Specialization
Citations

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

Fields of papers citing papers by R Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Brown

This figure shows the co-authorship network connecting the top 25 collaborators of R Brown. A scholar is included among the top collaborators of R Brown 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 R Brown. R Brown 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.
Mayer, Christine, Mark R. DuFour, Song S. Qian, et al.. (2025). Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response. Journal of Great Lakes Research. 51(4). 102606–102606. 1 indexed citations
2.
Hunter, Robert D., Song S. Qian, R Brown, et al.. (2025). Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River. Fisheries Research. 288. 107344–107344. 1 indexed citations
3.
Dabdoub, Shareef M., Alberto López-Reyes, R Brown, et al.. (2025). Dysbiotic Microbiome–Metabolome Axis in Childhood Obesity and Metabolic Syndrome. Journal of Dental Research. 104(12). 1314–1323. 3 indexed citations
4.
Brown, R, et al.. (2024). Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning. Management of Biological Invasions. 15(4). 519–534. 1 indexed citations
5.
Brown, R, Andrew Hindley, R Cuthbert, et al.. (2024). Association between JAK2V617F variable allele frequency and risk of thrombotic events in patients with myeloproliferative neoplasms. Irish Journal of Medical Science (1971 -). 193(6). 2883–2888. 2 indexed citations
6.
Brown, R, et al.. (2023). Lactobacillus from the Altered Schaedler Flora maintain IFNγ homeostasis to promote behavioral stress resilience. Brain Behavior and Immunity. 115. 458–469. 12 indexed citations
7.
Brown, R, et al.. (2023). The activity of the aryl hydrocarbon receptor in T cells tunes the gut microenvironment to sustain autoimmunity and neuroinflammation. PLoS Biology. 21(2). e3002000–e3002000. 14 indexed citations
8.
Brown, R, et al.. (2022). Irx3 promotes gap junction communication between uterine stromal cells to regulate vascularization during embryo implantation. Biology of Reproduction. 106(5). 1000–1010. 3 indexed citations
9.
Brown, R, et al.. (2022). Incentives to Learn: A Location-based Federated Learning Model. 40–45. 8 indexed citations
10.
Brown, R, et al.. (2021). Effects of ploidy and salmonid alphavirus infection on the skin and gill microbiome of Atlantic salmon (Salmo salar). PLoS ONE. 16(2). e0243684–e0243684. 29 indexed citations
11.
Brown, R, et al.. (2019). Synergistic effect between nisin and polymyxin B against pandrug-resistant and extensively drug-resistant Acinetobacter baumannii. International Journal of Antimicrobial Agents. 53(5). 663–668. 42 indexed citations
12.
Brown, R, Gregory D. Wiens, & Irene Salinas. (2018). Analysis of the gut and gill microbiome of resistant and susceptible lines of rainbow trout (Oncorhynchus mykiss). Fish & Shellfish Immunology. 86. 497–506. 116 indexed citations
13.
Brown, R, et al.. (2016). Tube-Forming Assays. Methods in molecular biology. 1430. 149–157. 20 indexed citations
14.
Serino, L. P., Peter D. Iddon, R Brown, et al.. (2015). A three-dimensional model of primary bovine endometrium using an electrospun scaffold. Biofabrication. 7(2). 25010–25010. 27 indexed citations
15.
Brady, Mariea A., R Brown, Mark P. Lewis, & Vivek Mudera. (2005). Mechanical behaviour of primary human skeletal muscle cells and isolated non-myogenic cells within a 3D- construct. UCL Discovery (University College London). 10. 29. 2 indexed citations
16.
Krone, Ronald J., Michael W. Rich, Kristie A. Blum, et al.. (2004). Supraventricular tachyarrhythmias after hematopoietic stem cell transplantation: incidence, risk factors and outcomes. Bone Marrow Transplantation. 34(7). 615–619. 36 indexed citations
17.
Cheema, Umber, Shang‐You Yang, Vivek Mudera, Geoffrey Goldspink, & R Brown. (2003). Erratum: 3-D in vitro model of early skeletal muscle development (Cell Motility and the Cytoskeleton (2003) 54 (226-236)). UCL Discovery (University College London). 1 indexed citations
18.
19.
Khoury, H. Jean, R Brown, Lawrence T. Goodnough, et al.. (1999). Successful treatment of cerebral toxoplasmosis in a marrow transplant recipient: contribution of a PCR test in diagnosis and early detection. Bone Marrow Transplantation. 23(4). 409–411. 22 indexed citations
20.
Adkins, Douglas R., et al.. (1998). Treatment of resistant mantle cell lymphoma with allogeneic bone marrow transplantation. Bone Marrow Transplantation. 21(1). 97–99. 23 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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