Yuan Qi

14.6k total citations
201 papers, 4.3k citations indexed

About

Yuan Qi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yuan Qi has authored 201 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 45 papers in Cancer Research and 39 papers in Oncology. Recurrent topics in Yuan Qi's work include Gene expression and cancer classification (16 papers), Cancer-related Molecular Pathways (15 papers) and Multiple Sclerosis Research Studies (15 papers). Yuan Qi is often cited by papers focused on Gene expression and cancer classification (16 papers), Cancer-related Molecular Pathways (15 papers) and Multiple Sclerosis Research Studies (15 papers). Yuan Qi collaborates with scholars based in China, United States and Japan. Yuan Qi's co-authors include W. Fraser Symmans, Lajos Pusztai, Gabriel N. Hortobágyi, Nick V. Grishin, Takayuki Iwamoto, Vicente Valero, Charles Coutant, Giampaolo Bianchini, Jinhua Zhang and Hui Ming Ge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Yuan Qi

192 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan Qi China	36	2.0k	1.2k	1.1k	543	434	201	4.3k
Shinya Sato Japan	42	2.1k 1.0×	1.1k 0.9×	1.0k 0.9×	522 1.0×	348 0.8×	302	5.4k
Jessica Wang‐Rodriguez United States	34	2.0k 1.0×	894 0.7×	959 0.9×	634 1.2×	284 0.7×	96	3.9k
Kai Wang China	39	3.1k 1.5×	1.1k 0.9×	721 0.6×	445 0.8×	445 1.0×	126	5.0k
Yingyan Yu China	42	2.9k 1.4×	1.8k 1.5×	1.4k 1.2×	701 1.3×	486 1.1×	219	5.4k
Zhi Li China	37	3.1k 1.5×	1.6k 1.4×	1.2k 1.1×	903 1.7×	639 1.5×	299	5.7k
Bo Yan China	35	2.2k 1.1×	1.1k 0.9×	616 0.6×	791 1.5×	341 0.8×	193	4.3k
Wenbin Li China	30	1.6k 0.8×	755 0.6×	647 0.6×	545 1.0×	402 0.9×	240	3.9k
Todd M. Pitts United States	32	1.6k 0.8×	775 0.6×	1.6k 1.4×	452 0.8×	513 1.2×	112	3.6k
Qi Yang China	35	2.1k 1.0×	990 0.8×	739 0.7×	463 0.9×	377 0.9×	161	3.5k
Stephen L. Abrams United States	33	3.4k 1.7×	945 0.8×	1.5k 1.4×	480 0.9×	415 1.0×	95	5.3k

Countries citing papers authored by Yuan Qi

Since Specialization

Citations

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

Fields of papers citing papers by Yuan Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Qi

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

All Works

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20 of 20 papers shown

Shao, Chang, Siqin Yu, Chenguang Liu, et al.. (2025). Genetic code expansion reveals site-specific lactylation in living cells reshapes protein functions. Nature Communications. 16(1). 227–227. 6 indexed citations

Liu, Xiaohui, Liming Xu, Yuan Qi, et al.. (2024). Targeting delivery of a novel TGF-β type I receptor-mimicking peptide to activated hepatic stellate cells for liver fibrosis therapy via inhibiting the TGF-β1/Smad and p38 MAPK signaling pathways. European Journal of Pharmacology. 977. 176708–176708. 5 indexed citations

Zhu, Huanhuan, et al.. (2024). OSGIN1 regulates PM2.5-induced fibrosis via mediating autophagy in an in vitro model of COPD. Toxicology Letters. 401. 35–43. 4 indexed citations

Liu, Shan W., Yuan Qi, Min Wang, et al.. (2024). METTL16 controls airway inflammations in smoking-induced COPD via regulating glutamine metabolism. Ecotoxicology and Environmental Safety. 289. 117518–117518. 1 indexed citations

Powell, Reid T., Amanda L. Rinkenbaugh, Lei Guo, et al.. (2024). Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer. npj Breast Cancer. 10(1). 37–37. 2 indexed citations

Zheng, Yangxi, Chava Rosen, Einav Shoshan, et al.. (2024). Lung cell transplantation for pulmonary fibrosis. Science Advances. 10(34). eadk2524–eadk2524. 7 indexed citations

Qi, Yuan, Lin He, Xuping Wang, et al.. (2023). Insight into the interaction mechanism between mulberry polyphenols and β-lactoglobulin. Food Hydrocolloids. 149. 109522–109522. 33 indexed citations

Qi, Yuan, et al.. (2023). Systematic review and meta-analysis of the clinical outcomes of ACEI/ARB in East-Asian patients with COVID-19. PLoS ONE. 18(1). e0280280–e0280280. 10 indexed citations

Dibra, Denada, Mihai Gagea, Yuan Qi, et al.. (2023). p53R245W Mutation Fuels Cancer Initiation and Metastases in NASH-driven Liver Tumorigenesis. Cancer Research Communications. 3(12). 2640–2652. 1 indexed citations

10.

Fiskus, Warren, Steffen Boettcher, Naval Daver, et al.. (2022). Effective Menin inhibitor-based combinations against AML with MLL rearrangement or NPM1 mutation (NPM1c). Blood Cancer Journal. 12(1). 5–5. 73 indexed citations

11.

Hou, Shasha, et al.. (2020). Alpinetin delays high‐fat diet‐aggravated lung carcinogenesis. Basic & Clinical Pharmacology & Toxicology. 128(3). 410–418. 6 indexed citations

12.

Wasylishen, Amanda R., Chang Sun, Sydney M. Moyer, et al.. (2020). Daxx maintains endogenous retroviral silencing and restricts cellular plasticity in vivo. Science Advances. 6(32). eaba8415–eaba8415. 23 indexed citations

13.

Liu, Qing, et al.. (2019). MiR‐505 promotes M2 polarization in choroidal neovascularization model mice by targeting transmembrane protein 229B. Scandinavian Journal of Immunology. 90(6). e12832–e12832. 12 indexed citations

14.

Asslaber, Daniela, Michael Leisch, Yuan Qi, et al.. (2018). BIRC3 Expression Predicts CLL Progression and Defines Treatment Sensitivity via Enhanced NF-κB Nuclear Translocation. Clinical Cancer Research. 25(6). 1901–1912. 32 indexed citations

15.

Qi, Yuan, Chao Qin, Qiang Cao, et al.. (2018). Polymorphism rs4787951 in IL-4R contributes to the increased risk of renal cell carcinoma in a Chinese population. Gene. 685. 242–247. 2 indexed citations

16.

Zhou, Hong, Khalid A. Mohamedali, Ana M. González-Angulo, et al.. (2014). Development of Human Serine Protease-Based Therapeutics Targeting Fn14 and Identification of Fn14 as a New Target Overexpressed in TNBC. Molecular Cancer Therapeutics. 13(11). 2688–2705. 21 indexed citations

17.

Pusztai, Lajos, Stacy L. Moulder, Mehmet Altan, et al.. (2014). Gene Signature–Guided Dasatinib Therapy in Metastatic Breast Cancer. Clinical Cancer Research. 20(20). 5265–5271. 28 indexed citations

18.

Coutant, Charles, Roman Rouzier, Yuan Qi, et al.. (2011). Distinct p53 Gene Signatures Are Needed to Predict Prognosis and Response to Chemotherapy in ER-Positive and ER-Negative Breast Cancers. Clinical Cancer Research. 17(8). 2591–2601. 44 indexed citations

19.

Lee, Jae K., Charles Coutant, Young Chul Kim, et al.. (2010). Prospective Comparison of Clinical and Genomic Multivariate Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer. Clinical Cancer Research. 16(2). 711–718. 60 indexed citations

20.

Tabchy, Adel, Vicente Valero, Tatiana Vidaurre, et al.. (2010). Evaluation of a 30-Gene Paclitaxel, Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy Response Predictor in a Multicenter Randomized Trial in Breast Cancer. Clinical Cancer Research. 16(21). 5351–5361. 160 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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