Kyle Brown
Impact in
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- 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
- Protein Degradation and Inhibitors
Papers in
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- 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
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Xiaojun Ren (9 shared papers)Haobin Wang (2 shared papers)Thao Ngoc Huynh (1 shared paper)Chao Yu Zhen (1 shared paper)Tingting Yao (1 shared paper)Huy Nguyen Duc (1 shared paper)Roubina Tatavosian (1 shared paper)Chou‐Hsun Yang (1 shared paper)
- Journals
- Cell Reports (2 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)eLife (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kyle Brown
9 papers receiving 407 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 395
- Biophysics 14
- Biochemistry 13
- Aging 3
- Structural Biology 2
Countries citing papers authored by Kyle Brown
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 243 | |
| 2 | 2020 | 84 | |
| 3 | 2021 | 28 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 |
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 407 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 (395 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, Thao Ngoc Huynh, Chao Yu Zhen, Tingting Yao, Huy Nguyen Duc, Roubina Tatavosian, Chou‐Hsun Yang, Tatiana G. Kutateladze and Zhiguo Zhang. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Nature Communications, eLife 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.