Kevin M. Brown
- Parasitology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Immunology
- Co-authors
- L. David SibleyShaojun LongBang ShenTobie D. LeeSebastian LouridoIra J. BladerIsabelle PhanBryan A. Anthony
- Topics
- Toxoplasma gondii Research Studies (21 papers)Cytomegalovirus and herpesvirus research (6 papers)Herpesvirus Infections and Treatments (5 papers)
- Cited by
- ParasitologyVirologyEpidemiology
- Journals
- Journal of Biological ChemistryThe FASEB JournalJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Kevin M. Brown
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Parasitology 873
- Epidemiology 592
- Molecular Biology 347
- Public Health, Environmental and Occupational Health 173
- Immunology 136
Countries citing papers authored by Kevin M. Brown
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 83 | |
| 7 | 67 | |
| 8 | 25 | |
| 9 | 77 | |
| 10 | 1 | |
| 11 | 53 | |
| 12 | 34 | |
| 13 | 88 | |
| 14 | Efficient Gene Disruption in Diverse Strains of Toxoplasma gondii Using CRISPR/CAS9breakdown → | 367 |
| 15 | 35 | |
| 16 | 28 | |
| 17 | 0 | |
| 18 | 27 | |
| 19 | 50 | |
| 20 | 3 |
About Kevin M. Brown
Kevin M. Brown is a scholar working on Parasitology, Virology and Microbiology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (21 papers), Cytomegalovirus and herpesvirus research (6 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Parasitology (873 citations), Virology (87 citations) and Epidemiology (592 citations). Kevin M. Brown has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include L. David Sibley, Shaojun Long, Bang Shen, Tobie D. Lee, Sebastian Lourido, Ira J. Blader, Isabelle Phan, Bryan A. Anthony, Lisa L. Drewry and Marc‐Jan Gubbels. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.
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.