Kyle L. Brown

978 citations
25 papers · 712 · h-index 16

Impact in

Papers in

Kyle L. Brown

25 papers receiving 702 citations

Peers

Kyle L. Brown
Comparison fields: 5 of 95
  • Immunology and Allergy 123
  • Cancer Research 122
  • Aging 12
  • Cell Biology 109
  • Molecular Biology 378
Replace Huidong Yuan with:
Huidong Yuan China
Gina Fusaro United States
Javier Lizardi Cervera Spain
Yayoi Wada Japan
Jackie Thorburn United States
Т. А. Смирнова Russia
Paulo Matos Portugal
Monique C.A. Duyndam Netherlands
Kelly Gorres United States
Eldon R. Jupe United States
Kyle L. Brown relative to Huidong Yuan China Huidong Yuan's profile →
Citations per field
00.5×4.5×
Huidong Yuan · 1×
Citations per year

Countries citing papers authored by Kyle L. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kyle L. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 201756
3 201654
4 201553
5 200653
6 201136
7 200933
8 200931
9 200828
10 201327
11 201127
12 200825
13 202023
14 201622
15 200921
16 200917
17 201815
18 202215
19 201511
20 20218

About Kyle L. Brown

Kyle L. Brown is a scholar working on Molecular Biology, Immunology and Allergy, Plant Science, Cancer Research and Organic Chemistry, having authored 25 papers that have together received 712 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cell Adhesion Molecules Research (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Mycotoxins in Agriculture and Food (4 papers), Renal and related cancers (3 papers), Synthesis and Biological Evaluation (3 papers), Advanced Glycation End Products research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Immunology and Allergy (123 citations), Cancer Research (122 citations), Aging (12 citations), Cell Biology (109 citations) and Molecular Biology (378 citations). Kyle L. Brown has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Michael P. Stone, Billy G. Hudson, Sergei Chetyrkin, Paul Voziyan, Vadim Pedchenko, Roberto Vanacore, Ashis K. Basu, Thomas M. Harris, Julie K. Hudson and Antonis Rokas. Their work appears in journals such as Journal of the American Chemical Society, Chemical Research in Toxicology, The Journal of Cell Biology, Bone and Scientific 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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