Brian Watts

1.6k citations
19 papers · 1.1k · h-index 13

Impact in

    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
  • Virology top 10%

Papers in

    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • DNA and Nucleic Acid Chemistry 3
    • Advanced biosensing and bioanalysis techniques 2
    • Glycosylation and Glycoproteins Research 2
    • HIV Research and Treatment 5

Brian Watts

19 papers receiving 1.1k citations

Peers

Brian Watts
Comparison fields: 5 of 109
  • Molecular Biology 770
  • Virology 41
  • Cognitive Neuroscience 124
  • Cancer Research 76
  • Genetics 128
Replace Hanif Khalak with:
Hanif Khalak Saudi Arabia
Clinton C. MacDonald United States
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R. John Mitchell Australia
Katherine Donovan United States
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Citations per field
00.5×6.8×
Hanif Khalak · 1×
Citations per year

Countries citing papers authored by Brian Watts

Since Specialization
Citations

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

Fields of papers citing papers by Brian Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010330
2 2010321
3
Extensions of Grier's computational formulas for A' and B'' to below-chance performance.
198798
4 198784
5 201255
6 201737
7 201528
8 201925
9 201421
10 201920
11 201817
12 202214
13 202313
14 202111
15 20214
16 20194
17 20223
18 20212
19 19871

About Brian Watts

Brian Watts is a scholar working on Molecular Biology, Virology, Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), DNA Repair Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Chromatin Dynamics (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (770 citations), Virology (41 citations), Cognitive Neuroscience (124 citations), Cancer Research (76 citations) and Genetics (128 citations). Brian Watts has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Doris Aaronson, Thomas A. Kunkel, Stephanie A. Nick McElhinny, Erik Johansson, Else-Britt Lundström, Danielle L. Watt, Andrei Chabes, Dinesh Kumar, Peter Burgers and Allan Clark. Their work appears in journals such as DNA repair, Psychological Bulletin, Scientific Reports, Nature Communications and Cell Reports.

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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