Tom Brown

6.4k citations
120 papers · 4.9k · h-index 40

Impact in

    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • DNA Repair Mechanisms
    • RNA Interference and Gene Delivery
    • Genomics and Chromatin Dynamics

Papers in

    • DNA and Nucleic Acid Chemistry 44
    • RNA and protein synthesis mechanisms 22
    • Advanced biosensing and bioanalysis techniques 19
    • DNA Repair Mechanisms 18
    • CRISPR and Genetic Engineering 7
    • RNA Research and Splicing 6
    • Genomics and Phylogenetic Studies 5

Tom Brown

116 papers receiving 4.7k citations

Peers

Tom Brown
Comparison fields: 5 of 168
  • Molecular Biology 3.6k
  • Dermatology 297
  • Virology 108
  • Molecular Medicine 102
  • Immunology and Allergy 119
Replace David M. Miller with:
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Fang Wei China
Ana Paula Valente Brazil
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Tom Brown relative to David M. Miller United States David M. Miller's profile →
Citations per field
00.5×4.6×
David M. Miller · 1×
Citations per year

Countries citing papers authored by Tom Brown

Since Specialization
Citations

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

Fields of papers citing papers by Tom Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom 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 Tom Brown Line = papers co-authored together Tom Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986248
2 1985215
3 1998211
4 1988194
5 1987156
6 2005151
7 1995132
8 2001116
9 1985116
10 1992113
11 1989113
12 1986111
13 1986105
14 1998104
15 1994103
16 199693
17 199891
18 198589
19 200487
20 199084

About Tom Brown

Tom Brown is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Infectious Diseases, having authored 120 papers that have together received 4.9k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (44 papers), RNA and protein synthesis mechanisms (22 papers), Advanced biosensing and bioanalysis techniques (19 papers), DNA Repair Mechanisms (18 papers), CRISPR and Genetic Engineering (7 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Dermatology (297 citations), Virology (108 citations), Molecular Medicine (102 citations) and Immunology and Allergy (119 citations). Tom Brown has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Olga Kennard, Josef Jiricny, William N. Hunter, Gordon A. Leonard, Andrew N. Lane, Maxine J. McCall, Graeme L. Conn, G.G. Kneale, Ewan D. Booth and Dov Rabinovich. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Journal of Molecular Biology, Clinical and Experimental Dermatology and American Journal of Obstetrics and Gynecology.

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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