Kyle Brown

639 total citations
9 papers, 407 citations indexed

About

Kyle Brown is a scholar working on Molecular Biology, Surgery and Infectious Diseases. According to data from OpenAlex, Kyle Brown has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Surgery and 0 papers in Infectious Diseases. Recurrent topics in Kyle Brown's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers) and RNA Research and Splicing (4 papers). Kyle Brown is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers) and RNA Research and Splicing (4 papers). Kyle Brown collaborates with scholars based in United States and United Kingdom. Kyle Brown's co-authors include Xiaojun Ren, Haobin Wang, Tingting Yao, Huy Nguyen Duc, Roubina Tatavosian, Thao Ngoc Huynh, Chao Yu Zhen, Chou‐Hsun Yang, Xiaowei Xu and Zhiguo Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kyle Brown

9 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kyle Brown United States	7	395	43	29	15	14	9	407
Roubina Tatavosian United States	6	402 1.0×	45 1.0×	25 0.9×	22 1.5×	33 2.4×	7	415
Chao Yu Zhen United States	5	370 0.9×	46 1.1×	35 1.2×	23 1.5×	22 1.6×	5	383
Sabrina Schumacher Germany	5	278 0.7×	39 0.9×	12 0.4×	14 0.9×	9 0.6×	8	294
Caroline Bauer Germany	3	317 0.8×	46 1.1×	16 0.6×	13 0.9×	9 0.6×	3	330
Robin Weinmann Germany	5	255 0.6×	36 0.8×	15 0.5×	8 0.5×	7 0.5×	7	279
Salaheddine Ali Germany	5	347 0.9×	85 2.0×	55 1.9×	19 1.3×	5 0.4×	5	367
Jimmy Ly United States	5	162 0.4×	36 0.8×	17 0.6×	12 0.8×	23 1.6×	9	188
Madeline Cassani United States	5	262 0.7×	45 1.0×	18 0.6×	12 0.8×	2 0.1×	5	288
Simon Zhongyuan Tian China	9	330 0.8×	92 2.1×	43 1.5×	29 1.9×	8 0.6×	14	372
Hardik Gala India	8	207 0.5×	116 2.7×	28 1.0×	10 0.7×	9 0.6×	12	267

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-authorship network of co-authors of Kyle Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Brown. A scholar is included among the top collaborators of Kyle 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 Kyle Brown. Kyle Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Brown, Kyle, Pin Yu Chew, Jorge R. Espinosa, et al.. (2023). Principles of assembly and regulation of condensates of Polycomb repressive complex 1 through phase separation. Cell Reports. 42(10). 113136–113136. 15 indexed citations

2.

Brown, Kyle, et al.. (2022). Quantifying the Binding and Target-Search Kinetics of Transcriptional Regulatory Factors by Live-Cell Single-Molecule Tracking. Methods in molecular biology. 2599. 141–162. 2 indexed citations

3.

Xu, Xiaowei, Xu Hua, Kyle Brown, Xiaojun Ren, & Zhiguo Zhang. (2022). Mcm2 promotes stem cell differentiation via its ability to bind H3-H4. eLife. 11. 21 indexed citations

4.

Brown, Kyle, et al.. (2021). Quantifying the global binding and target-search dynamics of epigenetic regulatory factors using live-cell single-molecule tracking. STAR Protocols. 2(4). 100959–100959. 1 indexed citations

5.

Zhang, Yi, Kyle Brown, Ziad Ibrahim, et al.. (2021). Nuclear condensates of p300 formed though the structured catalytic core can act as a storage pool of p300 with reduced HAT activity. Nature Communications. 12(1). 4618–4618. 28 indexed citations

6.

Zhang, Yi, Kyle Brown, Ziad Ibrahim, et al.. (2021). Nuclear Condensates of p300 Formed Though the Structured Catalytic Core Can Act as a Storage Pool of p300 with Reduced HAT Activity. SSRN Electronic Journal. 7 indexed citations

7.

Brown, Kyle, et al.. (2021). Single-molecule imaging of epigenetic complexes in living cells: insights from studies on Polycomb group proteins. Nucleic Acids Research. 49(12). 6621–6637. 6 indexed citations

8.

Brown, Kyle, et al.. (2020). Phase-Separated Transcriptional Condensates Accelerate Target-Search Process Revealed by Live-Cell Single-Molecule Imaging. Cell Reports. 33(2). 108248–108248. 84 indexed citations

9.

Tatavosian, Roubina, Kyle Brown, Tingting Yao, et al.. (2018). Nuclear condensates of the Polycomb protein chromobox 2 (CBX2) assemble through phase separation. Journal of Biological Chemistry. 294(5). 1451–1463. 243 indexed citations

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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