Jaeoh Park

637 total citations · 1 hit paper
10 papers, 394 citations indexed

About

Jaeoh Park is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Jaeoh Park has authored 10 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Jaeoh Park's work include Cancer Research and Treatments (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Jaeoh Park is often cited by papers focused on Cancer Research and Treatments (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Jaeoh Park collaborates with scholars based in Switzerland, South Korea and Taiwan. Jaeoh Park's co-authors include Ping‐Chih Ho, Pei‐Chun Hsueh, Zhiyu Li, Dae‐Sik Lim, Wonyoung Choi, Chan Choi, Gou Young Koh, Jeong‐Hwan Kim, Seon‐Young Kim and Jeongsik Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Nature Immunology.

In The Last Decade

Jaeoh Park

8 papers receiving 392 citations

Hit Papers

Microenvironment-driven metabolic adaptations guiding CD8... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaeoh Park Switzerland 6 197 131 128 102 73 10 394
Markus Linder Austria 7 190 1.0× 76 0.6× 37 0.3× 73 0.7× 61 0.8× 10 309
Alexandros P. Drainas United States 8 192 1.0× 141 1.1× 41 0.3× 74 0.7× 80 1.1× 13 365
Zakiya Kelley United States 3 107 0.5× 115 0.9× 63 0.5× 59 0.6× 66 0.9× 5 263
Gabrielle E. Ciotti United States 6 241 1.2× 94 0.7× 43 0.3× 129 1.3× 65 0.9× 6 396
Ryan Lupo United States 6 248 1.3× 166 1.3× 33 0.3× 110 1.1× 111 1.5× 7 399
Arnaud Pommier France 9 133 0.7× 216 1.6× 72 0.6× 342 3.4× 66 0.9× 12 537
C. Liu China 8 162 0.8× 143 1.1× 61 0.5× 85 0.8× 130 1.8× 11 336
Yutaro Otsuka Japan 10 203 1.0× 132 1.0× 62 0.5× 42 0.4× 78 1.1× 10 328
Changran Wei China 7 154 0.8× 71 0.5× 101 0.8× 37 0.4× 41 0.6× 11 276
Satoshi Nemoto Japan 8 165 0.8× 108 0.8× 78 0.6× 94 0.9× 15 0.2× 17 325

Countries citing papers authored by Jaeoh Park

Since Specialization
Citations

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

Fields of papers citing papers by Jaeoh Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeoh Park

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

All Works

10 of 10 papers shown
1.
Zhao, Haoxin, Jaeoh Park, Yuzhu Wang, et al.. (2025). Cancer suppresses mitochondrial chaperone activity in macrophages to drive immune evasion. Nature Immunology. 26(12). 2185–2200.
2.
Yu, Yi-Ru, Sheue‐Fen Tzeng, Jaeoh Park, et al.. (2024). Abstract 2370: Revitalizing anti-tumor immunity through PLT012 monoclonal antibody, targeting CD36 for metabolic rewiring in the tumor microenvironment. Cancer Research. 84(6_Supplement). 2370–2370.
3.
Franco, Fabien, Alessio Bevilacqua, Kung‐Chi Kao, et al.. (2023). Regulatory circuits of mitophagy restrict distinct modes of cell death during memory CD8 + T cell formation. Science Immunology. 8(87). eadf7579–eadf7579. 22 indexed citations
4.
Park, Jaeoh, et al.. (2023). cDC1 craves glutamine for its glory. Nature Immunology. 24(9). 1405–1406. 3 indexed citations
5.
Yu, Yi-Ru, Chin‐Hsien Tsai, Jaeoh Park, et al.. (2023). 1401 PLT012, a monoclonal antibody targeting CD36, unleashes anti-tumor immunity via metabolic reprogramming in tumor microenvironment. SHILAP Revista de lepidopterología. A1559–A1559. 1 indexed citations
6.
Park, Jaeoh, Pei‐Chun Hsueh, Zhiyu Li, & Ping‐Chih Ho. (2023). Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity. Immunity. 56(1). 32–42. 180 indexed citations breakdown →
7.
Park, Jaeoh, Limei Wang, & Ping‐Chih Ho. (2022). Metabolic guidance and stress in tumors modulate antigen-presenting cells. Oncogenesis. 11(1). 62–62. 18 indexed citations
8.
Park, Jaeoh, Wonyoung Choi, Hail Kim, et al.. (2020). YAP and AP-1 Cooperate to Initiate Pancreatic Cancer Development from Ductal Cells in Mice. Cancer Research. 80(21). 4768–4779. 41 indexed citations
10.
Choi, Wonyoung, Jeongsik Kim, Jaeoh Park, et al.. (2018). YAP/TAZ Initiates Gastric Tumorigenesis via Upregulation of MYC. Cancer Research. 78(12). 3306–3320. 109 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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