Kevin M. Brown

1.7k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Kevin M. Brown is a scholar working on Parasitology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kevin M. Brown has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Parasitology, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Kevin M. Brown's work include Toxoplasma gondii Research Studies (21 papers), Cytomegalovirus and herpesvirus research (6 papers) and Herpesvirus Infections and Treatments (5 papers). Kevin M. Brown is often cited by papers focused on Toxoplasma gondii Research Studies (21 papers), Cytomegalovirus and herpesvirus research (6 papers) and Herpesvirus Infections and Treatments (5 papers). Kevin M. Brown collaborates with scholars based in United States, Switzerland and United Kingdom. Kevin M. Brown's co-authors include L. David Sibley, Shaojun Long, Bang Shen, Tobie D. Lee, Sebastian Lourido, Ira J. Blader, Lisa L. Drewry, Isabelle Phan, Bryan A. Anthony and Gábor Marth and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Kevin M. Brown

24 papers receiving 1.2k citations

Hit Papers

Efficient Gene Disruption in Diverse Strains of Toxoplasm... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin M. Brown United States 14 873 592 347 173 136 26 1.2k
Gustavo Arrizabalaga United States 22 1.2k 1.4× 802 1.4× 378 1.1× 248 1.4× 138 1.0× 52 1.5k
Mathieu Gissot France 18 532 0.6× 324 0.5× 369 1.1× 261 1.5× 194 1.4× 40 954
M Soete France 14 1.1k 1.3× 780 1.3× 324 0.9× 152 0.9× 89 0.7× 18 1.4k
Carolina Agop‐Nersesian United States 13 339 0.4× 301 0.5× 219 0.6× 330 1.9× 128 0.9× 15 724
Maria Jerome United States 13 1.2k 1.4× 928 1.6× 173 0.5× 154 0.9× 141 1.0× 17 1.4k
Susan Coller United States 8 1.1k 1.3× 922 1.6× 151 0.4× 262 1.5× 228 1.7× 8 1.4k
Julia P. Hunn Germany 14 906 1.0× 873 1.5× 283 0.8× 163 0.9× 466 3.4× 14 1.4k
Joana Santos Switzerland 12 354 0.4× 218 0.4× 224 0.6× 245 1.4× 146 1.1× 17 697
Leah M. Rommereim United States 15 857 1.0× 645 1.1× 177 0.5× 85 0.5× 161 1.2× 18 985
Klemens Engelberg United States 15 364 0.4× 243 0.4× 202 0.6× 483 2.8× 199 1.5× 18 832

Countries citing papers authored by Kevin M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Brown. A scholar is included among the top collaborators of Kevin M. 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 Kevin M. Brown. Kevin M. 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.
Bisio, Hugo, et al.. (2024). Orthologs of Plasmodium ICM1 are dispensable for Ca 2+ mobilization in Toxoplasma gondii. Microbiology Spectrum. 12(10). e0122924–e0122924.
3.
Brown, Kevin M., et al.. (2024). Proteomic approaches for protein kinase substrate identification in Apicomplexa. Molecular and Biochemical Parasitology. 259. 111633–111633. 2 indexed citations
5.
Brown, Kevin M., et al.. (2022). Functional Analysis of the Expanded Phosphodiesterase Gene Family in Toxoplasma gondii Tachyzoites. mSphere. 7(1). e0079321–e0079321. 13 indexed citations
6.
Long, Shaojun, Kevin M. Brown, & L. David Sibley. (2018). CRISPR-mediated Tagging with BirA Allows Proximity Labeling in Toxoplasma gondii. BIO-PROTOCOL. 8(6). 25 indexed citations
7.
Brown, Kevin M. & L. David Sibley. (2018). Essential cGMP Signaling in Toxoplasma Is Initiated by a Hybrid P-Type ATPase-Guanylate Cyclase. Cell Host & Microbe. 24(6). 804–816.e6. 67 indexed citations
8.
Brown, Kevin M., Shaojun Long, & L. David Sibley. (2018). Conditional Knockdown of Proteins Using Auxin-inducible Degron (AID) Fusions in Toxoplasma gondii. BIO-PROTOCOL. 8(4). 83 indexed citations
9.
Long, Shaojun, Kevin M. Brown, Lisa L. Drewry, et al.. (2017). Calmodulin-like proteins localized to the conoid regulate motility and cell invasion by Toxoplasma gondii. PLoS Pathogens. 13(5). e1006379–e1006379. 77 indexed citations
10.
Brown, Kevin M., Shaojun Long, & L. David Sibley. (2017). Functional Analysis of Toxoplasma gondii cGMP‐Dependent Protein Kinase Isoforms Using an Auxin‐Inducible Degron System. The FASEB Journal. 31(S1). 1 indexed citations
11.
Gach, J. E., et al.. (2016). Fatal disseminated cowpox virus infection in an adolescent renal transplant recipient. Pediatric Nephrology. 32(3). 533–536. 34 indexed citations
12.
Brown, Kevin M., Sebastian Lourido, & L. David Sibley. (2016). Serum Albumin Stimulates Protein Kinase G-dependent Microneme Secretion in Toxoplasma gondii. Journal of Biological Chemistry. 291(18). 9554–9565. 53 indexed citations
13.
Shen, Bang, Kevin M. Brown, Tobie D. Lee, & L. David Sibley. (2014). Efficient Gene Disruption in Diverse Strains of Toxoplasma gondii Using CRISPR/CAS9. mBio. 5(3). e01114–14. 367 indexed citations breakdown →
14.
Brown, Kevin M., Elena S. Suvorova, Andrew Farrell, et al.. (2014). Forward Genetic Screening Identifies a Small Molecule That Blocks Toxoplasma gondii Growth by Inhibiting Both Host- and Parasite-Encoded Kinases. PLoS Pathogens. 10(6). e1004180–e1004180. 35 indexed citations
15.
Farrell, Andrew, Bradley I. Coleman, Kevin M. Brown, et al.. (2014). Whole genome profiling of spontaneous and chemically induced mutations in Toxoplasma gondii. BMC Genomics. 15(1). 354–354. 28 indexed citations
17.
Lee, H. Thomas, Mihwa Kim, Joo Yun Kim, et al.. (2012). Critical role of interleukin-17A in murine intestinal ischemia-reperfusion injury. American Journal of Physiology-Gastrointestinal and Liver Physiology. 304(1). G12–G25. 45 indexed citations
18.
Awasthi, Shanjana, et al.. (2010). A Toll-Like Receptor-4-Interacting Surfactant Protein-A-Derived Peptide Suppresses Tumor Necrosis Factor-α Release from Mouse JAWS II Dendritic Cells. Journal of Pharmacology and Experimental Therapeutics. 336(3). 672–681. 27 indexed citations
19.
Chan, Denise A., Kevin M. Brown, Curtis McMurtrey, et al.. (2010). Toxoplasma gondii Activates Hypoxia-inducible Factor (HIF) by Stabilizing the HIF-1α Subunit via Type I Activin-like Receptor Kinase Receptor Signaling. Journal of Biological Chemistry. 285(35). 26852–26860. 50 indexed citations
20.
Brown, Kevin M. & Ira J. Blader. (2009). The role of DNA microarrays in Toxoplasma gondii research, the causative agent of ocular toxoplasmosis. PubMed. 2(4). 214–222. 3 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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