Uree Chon

1.0k total citations
10 papers, 349 citations indexed

About

Uree Chon is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Uree Chon has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Uree Chon's work include Neuroscience and Neuropharmacology Research (4 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Uree Chon is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Uree Chon collaborates with scholars based in United States, Czechia and France. Uree Chon's co-authors include Yongsoo Kim, Daniel J. Vanselow, Keith C. Cheng, Zachary T. Nolan, Shizu Hidema, Elizabeth A. D. Hammock, Katsuhiko Nishimori, Qingguang Zhang, Patrick J. Drew and Yuan-Ting Wu and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Uree Chon

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uree Chon United States	9	112	85	78	59	58	10	349
Ourania Tzortzi Sweden	4	178 1.6×	145 1.7×	133 1.7×	25 0.4×	43 0.7×	4	342
Christopher Mezias United States	10	120 1.1×	106 1.2×	110 1.4×	29 0.5×	73 1.3×	13	329
Hugo Rı́os Argentina	14	152 1.4×	56 0.7×	170 2.2×	36 0.6×	26 0.4×	25	481
Adrienne C. Philson United States	5	205 1.8×	109 1.3×	134 1.7×	37 0.6×	53 0.9×	5	377
Heather A. Sullivan United States	8	129 1.2×	128 1.5×	88 1.1×	34 0.6×	35 0.6×	17	313
Elizabeth P. Lackey United States	10	147 1.3×	96 1.1×	162 2.1×	30 0.5×	48 0.8×	13	444
Kousuke Taki Japan	7	270 2.4×	94 1.1×	136 1.7×	23 0.4×	61 1.1×	11	377
Antje Märtin Sweden	6	194 1.7×	157 1.8×	287 3.7×	33 0.6×	37 0.6×	6	561
Lissa Ventura‐Antunes United States	7	61 0.5×	122 1.4×	72 0.9×	37 0.6×	39 0.7×	10	329
Miwako Masugi-Tokita Japan	7	276 2.5×	99 1.2×	170 2.2×	59 1.0×	15 0.3×	10	460

Countries citing papers authored by Uree Chon

Since Specialization

Citations

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

Fields of papers citing papers by Uree Chon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uree Chon

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

All Works

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10 of 10 papers shown

Bennett, Hannah, Qingguang Zhang, Yuan-Ting Wu, et al.. (2024). Aging drives cerebrovascular network remodeling and functional changes in the mouse brain. Nature Communications. 15(1). 6398–6398. 32 indexed citations

Wu, Yuan-Ting, Hannah Bennett, Uree Chon, et al.. (2022). Quantitative relationship between cerebrovascular network and neuronal cell types in mice. Cell Reports. 39(12). 110978–110978. 26 indexed citations

Shuster, S. Andrew, Jun Li, Uree Chon, et al.. (2022). In situ cell-type-specific cell-surface proteomic profiling in mice. Neuron. 110(23). 3882–3896.e9. 29 indexed citations

Wu, Yuan-Ting, Hannah Bennett, Uree Chon, et al.. (2022). Quantitative Relationship Between Cerebrovascular Network and Neuronal Cell Types in Mice. SSRN Electronic Journal. 1 indexed citations

Jefferson, Sarah J., et al.. (2020). Disinhibition of somatostatin interneurons confers resilience to stress in male but not female mice. Neurobiology of Stress. 13. 100238–100238. 13 indexed citations

Nolan, Zachary T., Uree Chon, Daniel J. Vanselow, et al.. (2020). Quantitative cellular-resolution map of the oxytocin receptor in postnatally developing mouse brains. Nature Communications. 11(1). 1885–1885. 65 indexed citations

Kouba, Tomáš, T. Kovaĺ, Jarmila Hnilicová, et al.. (2020). Mycobacterial HelD is a nucleic acids-clearing factor for RNA polymerase. Nature Communications. 11(1). 6419–6419. 22 indexed citations

Chon, Uree, et al.. (2020). Topographically Distinct Projection Patterns of Early-Generated and Late-Generated Projection Neurons in the Mouse Olfactory Bulb. eNeuro. 7(6). ENEURO.0369–20.2020. 8 indexed citations

Abecassis, Zachary A., Harry S. Xenias, Qiaoling Cui, et al.. (2019). Npas1 ⁺ -Nkx2.1 ⁺ Neurons Are an Integral Part of the Cortico-pallido-cortical Loop. Journal of Neuroscience. 40(4). 743–768. 64 indexed citations

10.

Chon, Uree, Daniel J. Vanselow, Keith C. Cheng, & Yongsoo Kim. (2019). Enhanced and unified anatomical labeling for a common mouse brain atlas. Nature Communications. 10(1). 5067–5067. 89 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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