Kyle Brown

647 citations
9 papers · 425 · h-index 7

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • Nuclear Structure and Function

Papers in

    • Genomics and Chromatin Dynamics 7
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 4
    • Single-cell and spatial transcriptomics 3
    • Protein Degradation and Inhibitors 2
    • Diffusion and Search Dynamics 1
    • Cancer-related gene regulation 1
    • Pancreatic function and diabetes 1

Kyle Brown

9 papers receiving 425 citations

Peers

Kyle Brown
Comparison fields: 5 of 38
  • Molecular Biology 402
  • Biophysics 14
  • Biochemistry 13
  • Aging 3
  • Structural Biology 2
Replace Chao Yu Zhen with:
Chao Yu Zhen United States
Roubina Tatavosian United States
Thao Ngoc Huynh United States
Caroline Bauer Germany
Sabrina Schumacher Germany
Robin Weinmann Germany
Bastian Eichenberger Switzerland
Simon Zhongyuan Tian China
Hardik Gala India
Franziska Reiter Austria
Kyle Brown relative to Chao Yu Zhen United States Chao Yu Zhen's profile →
Citations per field
00.5×1.5×2.3×
Chao Yu Zhen · 1×
Citations per year

Countries citing papers authored by Kyle Brown

Since Specialization
Citations

This map shows the geographic impact of Kyle 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 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 Brown more than expected).

Fields of papers citing papers by Kyle Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kyle 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 Brown Line = papers co-authored together Kyle Brown links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2018249
2 202088
3 202129
4 202222
5 202318
6 20217
7 20216
8 20213
9 20223

About Kyle Brown

Kyle Brown is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Organic Chemistry and Communication, having authored 9 papers that have together received 425 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers), Protein Degradation and Inhibitors (2 papers), Diffusion and Search Dynamics (1 paper), Cancer-related gene regulation (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (402 citations), Biophysics (14 citations), Biochemistry (13 citations), Aging (3 citations) and Structural Biology (2 citations). Kyle Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Xiaojun Ren, Haobin Wang, Roubina Tatavosian, Tingting Yao, Thao Ngoc Huynh, Chao Yu Zhen, Huy Nguyen Duc, Chou‐Hsun Yang, Zhiguo Zhang and Xiaowei Xu. Their work appears in journals such as Cell Reports, eLife, Journal of Biological Chemistry, Nucleic Acids Research and Nature Communications.

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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