Kevin R. Brown

10.3k citations
59 papers · 4.5k indexed · 2 hit papers · h-index 25
Topics
CRISPR and Genetic Engineering (10 papers)Bioinformatics and Genomic Networks (6 papers)Single-cell and spatial transcriptomics (5 papers)

In The Last Decade

Kevin R. Brown

56 papers receiving 4.4k citations

Hit Papers

High-Resolution CRISPR Screens Reveal Fitness...2005202620122019201520052505007501000

Peers

Kevin R. Brown
Comparison fields: 5 of 137
  • Molecular Biology 3.7k
  • Oncology 660
  • Cancer Research 565
  • Cell Biology 447
  • Genetics 377
Replace Traver Hart with:
Traver Hart United States
Joshua W. Modell United States
Douglas M. Fowler United States
Marco Jost United States
Wilbert Zwart Netherlands
Afshan McCarthy United Kingdom
Michael R. Schlabach United States
José M. Silva Spain
Christopher J. Bakkenist United States
Kevin R. Brown relative to Traver Hart United States Traver Hart's profile →
Citations per field
00.5×1.5×
Traver Hart · 1×
Citations per year

Countries citing papers authored by Kevin R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kevin R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Brown. A scholar is included among the top collaborators of Kevin R. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin R. Brown. Kevin R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 20
4 11
5 28
6 102
7 9
8 10
9 19
10 1
11 31
12 296
13 59
14 215
15 4
16 231
17
High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cellsbreakdown →
553
18 64
19 9
20 6

About Kevin R. Brown

Kevin R. Brown is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 59 papers that have together received 4.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Bioinformatics and Genomic Networks (6 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Aging (92 citations) and Cancer Research (565 citations). Kevin R. Brown has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Igor Jurišica, Jason Moffat, Traver Hart, Graham W. Pettigrew, Sachdev S. Sidhu, Stéphane Angers, Zachary Steinhart, Megha Chandrashekhar, Michael Aregger and Patricia Mero. Their work appears in journals such as Science, Cell and Nucleic Acids Research.

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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