Jay C. Brown

8.1k citations
122 papers · 7k · h-index 49

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Epidemiology top 0.5%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Virology and Viral Diseases
    • Cervical Cancer and HPV Research

Papers in

    • Herpesvirus Infections and Treatments 60
    • Cytomegalovirus and herpesvirus research 8
    • Virology and Viral Diseases 7
    • Advanced Electron Microscopy Techniques and Applications 18

Jay C. Brown

119 papers receiving 6.5k citations

Peers

Jay C. Brown
Comparison fields: 5 of 118
  • Structural Biology 679
  • Epidemiology 4.2k
  • Ecology 689
  • Virology 113
  • Oncology 498
Replace William W. Newcomb with:
William W. Newcomb United States
Frazer J. Rixon United Kingdom
Fred L. Homa United States
Naiqian Cheng United States
James F. Conway United States
David J. Filman United States
Robert L. Garcea United States
David M. Belnap United States
Guy Schoehn France
S.D. Fuller Germany
Jay C. Brown relative to William W. Newcomb United States William W. Newcomb's profile →
Citations per field
00.5×1.5×
William W. Newcomb · 1×
Citations per year

Countries citing papers authored by Jay C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jay C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay C. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay C. Brown Line = papers co-authored together Jay C. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991311
2 2001259
3 1991231
4 1993228
5 1997223
6 1996206
7 1996198
8 1985196
9 1994189
10 1978167
11 2003153
12 1998152
13 1970149
14 2004144
15 2007142
16 2008137
17 1991134
18 2011125
19 2001109
20 1999108

About Jay C. Brown

Jay C. Brown is a scholar working on Epidemiology, Structural Biology, Molecular Biology, Oncology and Cell Biology, having authored 122 papers that have together received 7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (60 papers), Advanced Electron Microscopy Techniques and Applications (18 papers), Cytomegalovirus and herpesvirus research (8 papers), Virology and Viral Diseases (7 papers), Glycosylation and Glycoproteins Research (6 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Structural Biology (679 citations), Epidemiology (4.2k citations), Ecology (689 citations), Virology (113 citations) and Oncology (498 citations). Jay C. Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William W. Newcomb, Fred L. Homa, Benes Louis Trus, Alasdair C. Steven, Frank P. Booy, Richard C. Hunt, Darrell R. Thomsen, Naiqian Cheng, Timothy S. Baker and Sandra K. Weller. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Virology, Proceedings of the National Academy of Sciences and Journal of Structural Biology.

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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