Soohwan Oh

3.2k total citations · 1 hit paper
36 papers, 2.1k citations indexed

About

Soohwan Oh is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Soohwan Oh has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Soohwan Oh's work include Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (10 papers) and Autophagy in Disease and Therapy (6 papers). Soohwan Oh is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (10 papers) and Autophagy in Disease and Therapy (6 papers). Soohwan Oh collaborates with scholars based in United States, South Korea and China. Soohwan Oh's co-authors include Michael G. Rosenfeld, Qi Ma, Kenneth A. Ohgi, Wenbo Li, Daria Merkurjev, Xiaoyuan Song, Jie Zhang, Dimple Notani, Bogdan Tanasă and Aaron Yun Chen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Soohwan Oh

36 papers receiving 2.1k citations

Hit Papers

Functional roles of enhancer RNAs for oestrogen-dependent... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soohwan Oh United States 17 1.6k 531 282 249 221 36 2.1k
Antonio L. Amelio United States 20 985 0.6× 522 1.0× 311 1.1× 173 0.7× 195 0.9× 45 1.7k
Paul Wei‐Che Hsu Taiwan 14 1.2k 0.7× 585 1.1× 207 0.7× 107 0.4× 94 0.4× 22 1.6k
Anne Beugnet Italy 15 1.7k 1.1× 700 1.3× 118 0.4× 176 0.7× 126 0.6× 19 2.0k
Bertrand Chin‐Ming Tan Taiwan 23 1.7k 1.0× 406 0.8× 115 0.4× 97 0.4× 137 0.6× 63 1.9k
Lijun Sun China 10 1.2k 0.7× 248 0.5× 193 0.7× 357 1.4× 119 0.5× 24 1.7k
Yuanwu Ma China 23 1.3k 0.8× 654 1.2× 187 0.7× 686 2.8× 153 0.7× 47 2.0k
Rebecca H. Herbst United States 9 1.4k 0.9× 381 0.7× 80 0.3× 417 1.7× 173 0.8× 11 1.9k
Yvan Martineau France 22 1.5k 0.9× 230 0.4× 149 0.5× 353 1.4× 178 0.8× 33 2.0k
Angela Gallo Italy 30 2.4k 1.5× 500 0.9× 125 0.4× 200 0.8× 160 0.7× 54 2.7k
Shalini Oberdoerffer United States 15 2.0k 1.2× 589 1.1× 75 0.3× 206 0.8× 221 1.0× 24 2.3k

Countries citing papers authored by Soohwan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Soohwan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soohwan Oh

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

All Works

20 of 20 papers shown
1.
Yuan, Wei, Amir Gamliel, Wubin Ma, et al.. (2025). An eRNA transcription checkpoint for diverse signal-dependent enhancer activation programs. Nature Genetics. 57(4). 962–972. 2 indexed citations
2.
Kim, Sang Bum, Ho Lee, Doyeun Kim, et al.. (2024). AIMP1-Derived Peptide Secreted from Hair Follicle Stem Cells Promotes Hair Growth by Activating Dermal Papilla Cells. International Journal of Biological Sciences. 20(14). 5764–5778. 1 indexed citations
3.
Wagner, Tobias, et al.. (2024). Enhancer–promoter specificity in gene transcription: molecular mechanisms and disease associations. Experimental & Molecular Medicine. 56(4). 772–787. 12 indexed citations
4.
Vinh, Le Ba, et al.. (2024). Identification of Interleukin (IL)-33 Inhibitory Constituents from Canavalia gladiata Pods. Antioxidants. 13(7). 767–767. 6 indexed citations
5.
Friedman, Meyer J., et al.. (2023). Transcriptional and Epigenetic Regulation of Context-Dependent Plasticity in T-Helper Lineages. Immune Network. 23(1). e5–e5. 6 indexed citations
6.
Oh, Soohwan, et al.. (2022). Direct observation of surface charge and stiffness of human metaphase chromosomes. Nanoscale Advances. 5(2). 368–377. 4 indexed citations
7.
Gamliel, Amir, Dario Meluzzi, Soohwan Oh, et al.. (2022). Long-distance association of topological boundaries through nuclear condensates. Proceedings of the National Academy of Sciences. 119(32). e2206216119–e2206216119. 16 indexed citations
8.
Oh, Soohwan, Jiaofang Shao, Joydeep Mitra, et al.. (2021). Enhancer release and retargeting activates disease-susceptibility genes. Nature. 595(7869). 735–740. 85 indexed citations
9.
Park, Angela, Soohwan Oh, Kyle L. Jung, et al.. (2020). Global epigenomic analysis of KSHV-infected primary effusion lymphoma identifies functional MYC superenhancers and enhancer RNAs. Proceedings of the National Academy of Sciences. 117(35). 21618–21627. 24 indexed citations
10.
Ma, Qi, Feng Yang, Carlos Mackintosh, et al.. (2020). Super-Enhancer Redistribution as a Mechanism of Broad Gene Dysregulation in Repeatedly Drug-Treated Cancer Cells. Cell Reports. 31(3). 107532–107532. 26 indexed citations
11.
Nair, Sreejith J., Yang Lu, Dario Meluzzi, et al.. (2019). Phase separation of ligand-activated enhancers licenses cooperative chromosomal enhancer assembly. Nature Structural & Molecular Biology. 26(3). 193–203. 238 indexed citations
12.
Tan, Yuliang, Chunyu Jin, Wubin Ma, et al.. (2018). Dismissal of RNA Polymerase II Underlies a Large Ligand-Induced Enhancer Decommissioning Program. Molecular Cell. 71(4). 526–539.e8. 16 indexed citations
13.
Lee, June‐Yong, Cara Skon-Hegg, You Jeong Lee, et al.. (2015). The Transcription Factor KLF2 Restrains CD4 + T Follicular Helper Cell Differentiation. Immunity. 42(2). 252–264. 134 indexed citations
14.
Telese, Francesca, Qi Ma, Dimple Notani, et al.. (2015). LRP8-Reelin-Regulated Neuronal Enhancer Signature Underlying Learning and Memory Formation. Neuron. 86(3). 696–710. 119 indexed citations
15.
Li, Wenbo, Yiren Hu, Soohwan Oh, et al.. (2015). Condensin I and II Complexes License Full Estrogen Receptor α-Dependent Enhancer Activation. Molecular Cell. 59(2). 188–202. 85 indexed citations
16.
Liu, Zhi‐Jie, Daria Merkurjev, Feng Yang, et al.. (2014). Enhancer Activation Requires trans-Recruitment of a Mega Transcription Factor Complex. Cell. 159(2). 358–373. 153 indexed citations
17.
Zhao, Zhen, Soohwan Oh, Dapeng Li, et al.. (2012). A Dual Role for UVRAG in Maintaining Chromosomal Stability Independent of Autophagy. Developmental Cell. 22(5). 1001–1016. 79 indexed citations
18.
Pirooz, Sara Dolatshahi, Joo‐Hyung Lee, Zhen Zhao, et al.. (2011). Measurement of γHV68 Infection in Mice. Journal of Visualized Experiments. 1 indexed citations
19.
Oh, Soohwan, E Xiaofei, Duojiao Ni, et al.. (2010). Downregulation of autophagy by Bcl-2 promotes MCF7 breast cancer cell growth independent of its inhibition of apoptosis. Cell Death and Differentiation. 18(3). 452–464. 52 indexed citations
20.
Xiaofei, E, Seungmin Hwang, Soohwan Oh, et al.. (2009). Viral Bcl-2-Mediated Evasion of Autophagy Aids Chronic Infection of γHerpesvirus 68. PLoS Pathogens. 5(10). e1000609–e1000609. 72 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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