Chris M. Brown

6.0k citations
82 papers · 4.1k indexed · h-index 32

Impact in

    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Bacterial biofilms and quorum sensing

Papers in

Chris M. Brown

80 papers receiving 4.0k citations

Peers

Chris M. Brown
Comparison fields: 5 of 128
  • Endocrinology 305
  • Molecular Biology 3.0k
  • Business and International Management 61
  • Molecular Medicine 131
  • Ecology 649
Replace Vivek Anantharaman with:
Vivek Anantharaman United States
Qunxin She Denmark
Konrad U. Förstner Germany
David R. Edgell Canada
Xu Peng Denmark
Bertrand Néron France
M Amemura Japan
Leonid Minakhin United States
Magnus Lundgren Sweden
Sébastien Rodrigue Canada
Chris M. Brown relative to Vivek Anantharaman United States Vivek Anantharaman's profile →
Citations per field
00.5×1.7×
Vivek Anantharaman · 1×
Citations per year

Countries citing papers authored by Chris M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chris M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20242
5 202115
6 20213
7 202120
8 20211
9 2020105
10 20184
11 201831
12 201624
13 201419
14 201233
15 201043
16 200852
17 199923
18 199570
19 1992109
20 199099

About Chris M. Brown

Chris M. Brown is a scholar working on Business and International Management, Molecular Biology, Animal Science and Zoology, Genetics and Endocrinology, having authored 82 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (36 papers), RNA modifications and cancer (19 papers), RNA Research and Splicing (17 papers), CRISPR and Genetic Engineering (12 papers), Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (11 papers), Genomics and Phylogenetic Studies (10 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Endocrinology (305 citations), Molecular Biology (3.0k citations), Business and International Management (61 citations), Molecular Medicine (131 citations) and Ecology (649 citations). Chris M. Brown has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include Warren P. Tate, Peter C. Fineran, Andrew E. Firth, Peter A. Stockwell, Richard J. Gillis, Barbara H. Iglewski, Teresa R. de Kievit, Steve Marx, Mark E. Dalphin and Oliver Rackham. Their work appears in journals such as Nucleic Acids Research, RNA Biology, BMC Genomics, Bioorganic & Medicinal Chemistry Letters and Bioinformatics.

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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