Kevin Brown

25.0k total citations · 6 hit papers
203 papers, 11.9k citations indexed

About

Kevin Brown is a scholar working on Infectious Diseases, Epidemiology and Dermatology. According to data from OpenAlex, Kevin Brown has authored 203 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Infectious Diseases, 69 papers in Epidemiology and 42 papers in Dermatology. Recurrent topics in Kevin Brown's work include Parvovirus B19 Infection Studies (68 papers), Dermatological and COVID-19 studies (42 papers) and Virology and Viral Diseases (38 papers). Kevin Brown is often cited by papers focused on Parvovirus B19 Infection Studies (68 papers), Dermatological and COVID-19 studies (42 papers) and Virology and Viral Diseases (38 papers). Kevin Brown collaborates with scholars based in United States, United Kingdom and Germany. Kevin Brown's co-authors include Neal S. Young, Erik D. Heegaard, Stacie M. Anderson, Mary Ramsay, Nick Andrews, Ruth Simmons, Julia Stowe, Jamie Lopez Bernal, Charlotte Gower and Elise Tessier and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin Brown

201 papers receiving 11.5k citations

Hit Papers

Effectivene... 1993 2026 2004 2015 2021 2021 1993 2004 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Brown United States 53 7.7k 2.4k 2.4k 2.3k 1.7k 203 11.9k
Stanley A. Plotkin United States 70 7.4k 1.0× 1.7k 0.7× 10.6k 4.4× 255 0.1× 3.6k 2.1× 461 20.2k
Barton F. Haynes United States 90 8.5k 1.1× 1.9k 0.8× 5.7k 2.4× 517 0.2× 8.5k 5.0× 432 34.7k
Richard J. Whitley United States 86 7.4k 1.0× 3.3k 1.4× 20.0k 8.4× 1.2k 0.5× 2.8k 1.7× 404 26.9k
Anthony L. Cunningham Australia 74 4.2k 0.5× 1.2k 0.5× 8.8k 3.7× 938 0.4× 2.5k 1.4× 382 18.1k
Daniel C. Douek United States 104 11.1k 1.4× 2.2k 0.9× 9.5k 4.0× 275 0.1× 6.2k 3.6× 338 44.9k
Robert M. Jacobson United States 57 2.3k 0.3× 1.0k 0.4× 5.4k 2.3× 136 0.1× 2.1k 1.2× 296 11.0k
Shane Crotty United States 80 8.0k 1.0× 1.8k 0.8× 4.3k 1.8× 280 0.1× 6.1k 3.6× 190 28.9k
Gregory A. Poland United States 65 4.7k 0.6× 1.6k 0.7× 7.7k 3.2× 100 0.0× 3.7k 2.2× 411 16.2k
Michael P. Busch United States 80 10.2k 1.3× 1.1k 0.4× 11.2k 4.7× 144 0.1× 2.2k 1.3× 647 29.2k
Paul Klenerman United Kingdom 88 4.4k 0.6× 1.8k 0.7× 10.8k 4.5× 306 0.1× 3.5k 2.1× 500 27.7k

Countries citing papers authored by Kevin Brown

Since Specialization
Citations

This map shows the geographic impact of Kevin 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 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 Brown more than expected).

Fields of papers citing papers by Kevin Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Brown. A scholar is included among the top collaborators of Kevin 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 Brown. Kevin 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.
Murphy, Dearbhla M, Laura Stein, Andreea Petrasca, et al.. (2024). Human Macrophages Activate Bystander Neutrophils’ Metabolism and Effector Functions When Challenged with Mycobacterium tuberculosis. International Journal of Molecular Sciences. 25(5). 2898–2898. 5 indexed citations
2.
Quinot, Catherine, Freja Kirsebom, Nick Andrews, et al.. (2023). The impact of vaccination and SARS-CoV-2 variants on the virological response to SARS-CoV-2 infections during the Alpha, Delta, and Omicron waves in England. Journal of Infection. 88(1). 21–29. 8 indexed citations
3.
Westrop, Samantha J., Heather Whitaker, Annabel Powell, et al.. (2022). Real-world data on immune responses following heterologous prime-boost COVID-19 vaccination schedule with Pfizer and AstraZeneca vaccines in England. Journal of Infection. 84(5). 692–700. 13 indexed citations
4.
Mensah, Anna, Joanne Lacy, Julia Stowe, et al.. (2022). Disease severity during SARS-COV-2 reinfection: a nationwide study. Journal of Infection. 84(4). 542–550. 52 indexed citations
5.
Brown, Kevin, et al.. (2022). Effectiveness of oral aciclovir in preventing maternal chickenpox: A comparison with VZIG. Journal of Infection. 85(2). 147–151. 4 indexed citations
6.
Parry, Helen, Rachel Bruton, Christine Stephens, et al.. (2022). Extended interval BNT162b2 vaccination enhances peak antibody generation. npj Vaccines. 7(1). 14–14. 59 indexed citations
7.
Newman, Joseph, Nazia Thakur, Thomas P. Peacock, et al.. (2022). Neutralizing antibody activity against 21 SARS-CoV-2 variants in older adults vaccinated with BNT162b2. Nature Microbiology. 7(8). 1180–1188. 42 indexed citations
8.
Amirthalingam, Gayatri, Jamie Lopez Bernal, Nick Andrews, et al.. (2021). Serological responses and vaccine effectiveness for extended COVID-19 vaccine schedules in England. Nature Communications. 12(1). 7217–7217. 66 indexed citations
10.
Robida, Mark D., Barbara M. Judy, Omar Qazi, et al.. (2011). Protective Antigens Against Glanders Identified by Expression Library Immunization. Frontiers in Microbiology. 2. 227–227. 17 indexed citations
11.
Patsch, Janina, et al.. (2008). DXA and QCT geometric structural measurements of proximal femoral strength. 17(3). 27–34. 2 indexed citations
12.
Brown, Kevin. (2006). Anaemia, parvovirus, and malaria. The Lancet. 368(9537). 714–716. 3 indexed citations
13.
Brown, Kevin, Wentao Gao, Sean Alber, et al.. (2003). Adenovirus-Transduced Dendritic Cells Injected into Skin or Lymph Node Prime Potent Simian Immunodeficiency Virus-Specific T Cell Immunity in Monkeys. The Journal of Immunology. 171(12). 6875–6882. 38 indexed citations
14.
Nguyen, Quang Tri, Susan Wong, Erik D. Heegaard, & Kevin Brown. (2002). Identification and Characterization of a Second Novel Human Erythrovirus Variant, A6. Virology. 301(2). 374–380. 110 indexed citations
15.
Hanazono, Yutaka, Kevin Brown, & Cynthia E. Dunbar. (2000). Primary T Lymphocytes as Targets for Gene Therapy. Journal of Hematotherapy & Stem Cell Research. 9(5). 611–620. 13 indexed citations
16.
Qiu, Jianming, et al.. (2000). The Interaction of Heparin Sulfate and Adeno-Associated Virus 2. Virology. 269(1). 137–147. 67 indexed citations
17.
Muramatsu, Shin‐ichi, et al.. (2000). Adeno-associated virus (AAV)-3-based vectors transduce haematopoietic cells not susceptible to transduction with AAV-2-based vectors. Journal of General Virology. 81(8). 2077–2084. 103 indexed citations
18.
Green, Spencer W., et al.. (2000). Rhesus and Pig-Tailed Macaque Parvoviruses: Identification of Two New Members of the Erythrovirus Genus in Monkeys. Virology. 269(1). 105–112. 28 indexed citations
19.
Muramatsu, Shin‐ichi, Hiroaki Mizukami, Neal S. Young, & Kevin Brown. (1996). Nucleotide Sequencing and Generation of an Infectious Clone of Adeno-Associated Virus 3. Virology. 221(1). 208–217. 125 indexed citations
20.
Brown, Kevin, Spencer W. Green, & Neal S. Young. (1995). Goose Parvovirus—An Autonomous Member of the Dependovirus Genus?. Virology. 210(2). 283–291. 63 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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