Tom Brown
- Molecular Biology top 2%
- 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
- Protein Structure and Dynamics 5
- Dermatology top 2%
- Virology top 5%
- Molecular Medicine top 5%
- Immunology and Allergy top 5%
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- Bacteriophages and microbial interactions 6
- Co-authors
- Olga KennardJosef JiricnyWilliam N. HunterGordon A. LeonardAndrew N. LaneMaxine J. McCallGraeme L. ConnG.G. Kneale
- Cited by
- Molecular BiologyDermatologyVirology
- Journals
- Nucleic Acids Research (9 papers)Biochemistry (6 papers)Journal of Molecular Biology (5 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Tom Brown
116 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 168
- Molecular Biology 3.6k
- Dermatology 297
- Virology 108
- Molecular Medicine 102
- Immunology and Allergy 119
Countries citing papers authored by Tom Brown
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 29 | |
| 7 | 2021 | 13 | |
| 8 | OnScreen Gene Transcription, DNA Model, and DNA Replication Apps | 2014 | 1 |
| 9 | 2012 | 22 | |
| 10 | 2002 | 14 | |
| 11 | 1995 | 25 | |
| 12 | 1995 | 4 | |
| 13 | 1993 | 49 | |
| 14 | 1992 | 33 | |
| 15 | 1992 | 55 | |
| 16 | 1992 | 113 | |
| 17 | 1992 | 53 | |
| 18 | 1989 | 36 | |
| 19 | Research on Synthesis of Concurrent Computing Systems. | 1982 | 4 |
| 20 | Induction of limited DNA damage by the antitumor agent Cain's acridine. | 1978 | 44 |
About Tom Brown
Tom Brown is a scholar working on Molecular Biology, Dermatology, Medical Laboratory Technology, Molecular Medicine and Aging, 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), Bacteriophages and microbial interactions (6 papers), RNA Research and Splicing (6 papers) and Protein Structure and Dynamics (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.