Tom Brown

5.9k citations
105 papers · 4.5k · 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 21
    • Advanced biosensing and bioanalysis techniques 18
    • DNA Repair Mechanisms 12
    • RNA Research and Splicing 6
    • Protein Structure and Dynamics 5
    • Bacterial Genetics and Biotechnology 4

Tom Brown

103 papers receiving 4.3k citations

Peers

Tom Brown
Comparison fields: 5 of 145
  • Molecular Biology 3.2k
  • Dermatology 257
  • Virology 102
  • Molecular Medicine 85
  • Infectious Diseases 253
Replace Mark A. Saper with:
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Dean R. Madden United States
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Daisuke Kohda Japan
Matthew A. Perugini Australia
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Kristian Schweimer Germany
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Citations per field
00.5×4.5×
Mark A. Saper · 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 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986247
2 1985215
3 1998211
4 2005157
5 1995134
6 2001117
7 1999116
8 1985115
9 1992113
10 1989113
11 1986111
12 1986105
13 1998104
14 1994104
15 199693
16 199891
17 198589
18 200487
19 199084
20 199079

About Tom Brown

Tom Brown is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Organic Chemistry, having authored 105 papers that have together received 4.5k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (44 papers), RNA and protein synthesis mechanisms (21 papers), Advanced biosensing and bioanalysis techniques (18 papers), DNA Repair Mechanisms (12 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (6 papers), Protein Structure and Dynamics (5 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Dermatology (257 citations), Virology (102 citations), Molecular Medicine (85 citations) and Infectious Diseases (253 citations). Tom Brown has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Olga Kennard, William N. Hunter, Andrew N. Lane, Gordon A. Leonard, Maxine J. McCall, Graeme L. Conn, G.G. Kneale, Ewan D. Booth, Dov Rabinovich and Laurence H. Pearl. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Journal of Molecular Biology, Clinical and Experimental Dermatology and Nature.

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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