Yate‐Ching Yuan

4.4k total citations
81 papers, 2.9k citations indexed

About

Yate‐Ching Yuan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yate‐Ching Yuan has authored 81 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 34 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Yate‐Ching Yuan's work include Cancer Genomics and Diagnostics (9 papers), DNA Repair Mechanisms (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). Yate‐Ching Yuan is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), DNA Repair Mechanisms (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). Yate‐Ching Yuan collaborates with scholars based in United States, China and Taiwan. Yate‐Ching Yuan's co-authors include Xiwei Wu, Shiuan Chen, Zheng Liu, Yun Yen, Charles Warden, Lingxiao Zhang, Miao Feng, Arthur D. Riggs, Rama Natarajan and Keqiang Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yate‐Ching Yuan

80 papers receiving 2.8k citations

Peers

Yate‐Ching Yuan
Long H. Dang United States
Gennadi V. Glinsky United States
Yunus A. Luqmani Kuwait
Anand D. Jeyasekharan Singapore
Macus Tien Kuo United States
Akulapalli Sudhakar United States
Ana Preto Portugal
Sarah Heerboth United States
Nancy Krett United States
Long H. Dang United States
Yate‐Ching Yuan
Citations per year, relative to Yate‐Ching Yuan Yate‐Ching Yuan (= 1×) peers Long H. Dang

Countries citing papers authored by Yate‐Ching Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yate‐Ching Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yate‐Ching Yuan. 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 Yate‐Ching Yuan. The network helps show where Yate‐Ching Yuan may publish in the future.

Co-authorship network of co-authors of Yate‐Ching Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yate‐Ching Yuan. A scholar is included among the top collaborators of Yate‐Ching Yuan 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 Yate‐Ching Yuan. Yate‐Ching Yuan 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.
Pirrotte, Patrick, Yate‐Ching Yuan, Nan Jiang, et al.. (2025). Single‐Cell Analysis of L‐Myc Expressing Neural Stem Cells and Their Extracellular Vesicles Revealed Distinct Progenitor Populations With Neurogenic Potential. Journal of Extracellular Biology. 4(11). e70095–e70095.
2.
Querfeld, Christiane, Joycelynne Palmer, Yate‐Ching Yuan, et al.. (2025). Phase 1 trial of durvalumab (anti–PD-L1) combined with lenalidomide in relapsed/refractory cutaneous T-cell lymphoma. Blood Advances. 9(9). 2247–2260. 3 indexed citations
3.
Jia, Qiong, Xiancai Zhong, Prajish Iyer, et al.. (2024). Cancer-associated SF3B1-K700E mutation controls immune responses by regulating T reg function via aberrant Anapc13 splicing. Science Advances. 10(38). eado4274–eado4274. 3 indexed citations
4.
Wu, Xiwei, Hanjun Qin, Yate‐Ching Yuan, et al.. (2023). Reprogramming of PD-1+ M2-like tumor-associated macrophages with anti–PD-L1 and lenalidomide in cutaneous T cell lymphoma. JCI Insight. 8(13). 12 indexed citations
5.
Wu, Xiwei, Hanjun Qin, Yate‐Ching Yuan, et al.. (2023). Blockade of the Immune Checkpoint CD47 by TTI-621 Potentiates the Response to Anti−PD-L1 in Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 143(8). 1569–1578.e5. 14 indexed citations
6.
Zhang, Chunxiao, Charles Warden, Zheng Liu, et al.. (2022). Loss of SIRT1 inhibits hematopoietic stem cell aging and age-dependent mixed phenotype acute leukemia. Communications Biology. 5(1). 396–396. 15 indexed citations
7.
Wu, Xiwei, Yate‐Ching Yuan, Hanjun Qin, et al.. (2021). MicroRNA Regulation of T-Cell Exhaustion in Cutaneous T Cell Lymphoma. Journal of Investigative Dermatology. 142(3). 603–612.e7. 14 indexed citations
8.
Che, Mingtian, Soo-Mi Kweon, Jia-Ling Teo, et al.. (2020). Targeting the CBP/β-Catenin Interaction to Suppress Activation of Cancer-Promoting Pancreatic Stellate Cells. Cancers. 12(6). 1476–1476. 16 indexed citations
9.
Gu, Long, Robert Lingeman, Emily Sun, et al.. (2018). The Anticancer Activity of a First-in-class Small-molecule Targeting PCNA. Clinical Cancer Research. 24(23). 6053–6065. 33 indexed citations
10.
Zhang, Xu Hannah, Sangkil Nam, Jun Wu, et al.. (2018). Multi-Kinase Inhibitor with Anti-p38γ Activity in Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 138(11). 2377–2387. 20 indexed citations
11.
Zhang, Keqiang, Rebecca A. Nelson, Tommy R. Tong, et al.. (2017). Overexpression of Flap Endonuclease 1 Correlates with Enhanced Proliferation and Poor Prognosis of Non–Small-Cell Lung Cancer. American Journal Of Pathology. 188(1). 242–251. 72 indexed citations
12.
13.
Gaur, Shikha, Yafan Wang, Leo Kretzner, et al.. (2014). Pharmacodynamic and pharmacogenomic study of the nanoparticle conjugate of camptothecin CRLX101 for the treatment of cancer. Nanomedicine Nanotechnology Biology and Medicine. 10(7). 1477–1486. 53 indexed citations
14.
Zhou, Bingsen, Leila Su, Shuya Hu, et al.. (2013). A Small-Molecule Blocking Ribonucleotide Reductase Holoenzyme Formation Inhibits Cancer Cell Growth and Overcomes Drug Resistance. Cancer Research. 73(21). 6484–6493. 65 indexed citations
15.
Zhang, Keqiang, Kevin Chu, Xiwei Wu, et al.. (2013). Amplification of FRS2 and Activation of FGFR/FRS2 Signaling Pathway in High-Grade Liposarcoma. Cancer Research. 73(4). 1298–1307. 84 indexed citations
16.
Kubo, Makoto, Noriko Kanaya, Jingjing Ye, et al.. (2012). Inhibition of the proliferation of acquired aromatase inhibitor-resistant breast cancer cells by histone deacetylase inhibitor LBH589 (panobinostat). Breast Cancer Research and Treatment. 137(1). 93–107. 44 indexed citations
17.
Masri, Selma, Sheryl Phung, Xin Wang, et al.. (2008). Genome-Wide Analysis of Aromatase Inhibitor-Resistant, Tamoxifen-Resistant, and Long-Term Estrogen-Deprived Cells Reveals a Role for Estrogen Receptor. Cancer Research. 68(12). 4910–4918. 89 indexed citations
18.
Hong, Yanyan, Bin Yu, Mark A. Sherman, et al.. (2006). Molecular Basis for the Aromatization Reaction and Exemestane-Mediated Irreversible Inhibition of Human Aromatase. Molecular Endocrinology. 21(2). 401–414. 96 indexed citations
19.
Chen, Shey‐Ying, Sheryl Phung, Shirley Kwok, et al.. (2005). GENERAL LECTURES Antihyperlipidemic Effect of Pleurotus ostreatus (Jacq.:Fr.) P.Kumm. in HIV: Results of a Pilot Proof-of-Principle Clinical Trial. International journal of medicinal mushrooms. 7(3). 337–340. 1 indexed citations
20.
Shao, Jimin, Bingsen Zhou, Lijun Zhu, et al.. (2005). Characterization of the interacting mechanisms between Triapine (3-aminopyridine-2-carboxaldehyde thiosemicarbazone) and the small subunits of human Ribonucleotide Reductase. Cancer Research. 65. 969–969. 2 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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