Feng Jin

13.7k total citations · 2 hit papers
217 papers, 8.1k citations indexed

About

Feng Jin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Feng Jin has authored 217 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 59 papers in Oncology and 46 papers in Cancer Research. Recurrent topics in Feng Jin's work include Cancer Cells and Metastasis (16 papers), Breast Cancer Treatment Studies (14 papers) and RNA modifications and cancer (12 papers). Feng Jin is often cited by papers focused on Cancer Cells and Metastasis (16 papers), Breast Cancer Treatment Studies (14 papers) and RNA modifications and cancer (12 papers). Feng Jin collaborates with scholars based in China, United States and Japan. Feng Jin's co-authors include Xiaohua Jiang, Ying Cui, Yanxia Tian, Ran Li, Pei Jiang, Richard C. Wang, Junling Gao, Changmeng Cui, Xu Hu and Shan Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Feng Jin

200 papers receiving 7.9k citations

Hit Papers

Induction of the Vitamin D Receptor Attenuates Autophagy ... 2015 2026 2018 2022 2017 2015 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Jin China 39 3.9k 2.3k 1.2k 1.1k 916 217 8.1k
Alfredo Criollo Chile 45 4.5k 1.1× 3.9k 1.7× 1.1k 0.9× 1.0k 0.9× 915 1.0× 75 8.9k
Wei Li China 46 5.0k 1.3× 1.4k 0.6× 664 0.6× 750 0.7× 564 0.6× 325 9.2k
Eugenia Morselli Chile 39 3.4k 0.9× 2.9k 1.2× 884 0.7× 749 0.7× 819 0.9× 78 6.5k
Hua Liu China 52 4.3k 1.1× 745 0.3× 1.4k 1.2× 1.0k 1.0× 693 0.8× 373 9.7k
Dongchon Kang Japan 54 6.7k 1.7× 1.3k 0.6× 786 0.7× 550 0.5× 1.6k 1.7× 225 10.2k
Fahd Al‐Mulla Kuwait 42 3.0k 0.8× 811 0.4× 832 0.7× 917 0.8× 866 0.9× 328 6.9k
Eugenio Gaudio Italy 60 2.7k 0.7× 2.8k 1.2× 1.1k 0.9× 2.0k 1.8× 715 0.8× 287 10.9k
Tōru Kimura Japan 44 3.0k 0.8× 1.2k 0.5× 710 0.6× 1.1k 1.0× 540 0.6× 326 7.7k
Giuliano Ramadori Germany 59 3.1k 0.8× 4.0k 1.7× 760 0.6× 1.4k 1.3× 771 0.8× 375 12.3k
Janoš Terzić Croatia 29 3.1k 0.8× 1.6k 0.7× 1.1k 0.9× 1.8k 1.7× 400 0.4× 73 7.1k

Countries citing papers authored by Feng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jin. A scholar is included among the top collaborators of Feng Jin 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 Feng Jin. Feng Jin 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.
Qin, Lina, Hanchi Wang, Yijia Li, et al.. (2025). Association between intake of various sugar subtypes and common mental disorders: A large prospective study. The journal of nutrition health & aging. 29(10). 100647–100647.
2.
Xu, Xianrong, Yousong Su, Na Zhu, et al.. (2025). Prevalences and differences of depressive symptomology among first-episode of depression and recurrent depression: An analysis of data from NSSD. Journal of Affective Disorders. 382. 602–610.
3.
Wan, Qiongqiong, Mengmeng Zhao, Yanhong Hao, et al.. (2024). Efficient diagnosis of benign and malignant pulmonary nodules based on Nano-zero-valent iron enhanced serum metabolic fingerprinting. Chinese Chemical Letters. 36(10). 110794–110794. 1 indexed citations
4.
Jin, Feng, et al.. (2024). A synthetic antibiotic class with a deeply-optimized design for overcoming bacterial resistance. Nature Communications. 15(1). 6040–6040. 13 indexed citations
5.
Jin, Feng, Yanbin Song, Mengjia Zhang, et al.. (2024). Design and synthesis of APN and 3CLpro dual‐target inhibitors based on STSBPT with anticoronavirus activity. Journal of Medical Virology. 96(3). e29512–e29512. 5 indexed citations
6.
Li, Xuebin, Yue Zhang, Shihao Miao, et al.. (2024). Biochar Improves Yield by Reducing Saline–Alkaline Stress, Enhancing Filling Rate of Rice in Soda Saline–Alkaline Paddy Fields. Plants. 13(16). 2237–2237. 4 indexed citations
7.
Yang, Lin, Qing Li, Chunhui Ma, et al.. (2024). Genome-wide characterization of dynamic DNA 5-hydroxymethylcytosine and TET2-related DNA demethylation during breast tumorigenesis. Clinical Epigenetics. 16(1). 125–125. 2 indexed citations
8.
Jin, Feng, et al.. (2023). Network pharmacology‑based investigation of potential targets of triptonodiol acting on non-small-cell lung cancer. European journal of medical research. 28(1). 547–547. 2 indexed citations
9.
Yan, Yuanyuan, Miao He, Lin Zhao, et al.. (2022). A novel HIF-2α targeted inhibitor suppresses hypoxia-induced breast cancer stemness via SOD2-mtROS-PDI/GPR78-UPRER axis. Cell Death and Differentiation. 29(9). 1769–1789. 63 indexed citations
11.
Zhang, Xiaoyi, Mengqi Chang, Jun Qian, et al.. (2021). Genome-Wide 5-Hydroxymethylcytosine Profiling Analysis Identifies MAP7D1 as A Novel Regulator of Lymph Node Metastasis in Breast Cancer. Genomics Proteomics & Bioinformatics. 19(1). 64–79. 13 indexed citations
12.
Zhang, Yiqi, et al.. (2020). <p>The Expression and Prognostic Significance of Claudin-8 and Androgen Receptor in Breast Cancer</p>. OncoTargets and Therapy. Volume 13. 3437–3448. 14 indexed citations
13.
Mao, Xiaoyun, Ming Zhou, Chuifeng Fan, Bo Chen, & Feng Jin. (2019). Timescale of tumor volume of a young breast cancer patient with luminal B subtype. Medicine. 98(43). e17659–e17659. 2 indexed citations
14.
Chen, Qiuchen, Xiaolan Deng, Xiao Hu, et al.. (2019). Breast Cancer Risk–Associated SNPs in the mTOR Promoter Form De Novo KLF5- and ZEB1-Binding Sites that Influence the Cellular Response to Paclitaxel. Molecular Cancer Research. 17(11). 2244–2256. 10 indexed citations
15.
Ran, Qian, Feng Jin, Yang Xiang, et al.. (2019). CRIF1 as a potential target to improve the radiosensitivity of osteosarcoma. Proceedings of the National Academy of Sciences. 116(41). 20511–20516. 19 indexed citations
16.
17.
Bai, Xuefeng, Feng Jin, Zhaojin Yu, et al.. (2011). Clinicopathological significance and prognostic value of Xeroderma pigmentosum complementary group C (XPC) expression in sporadic breast cancer patients. Medical Oncology. 29(3). 1543–1553. 2 indexed citations
18.
Jin, Feng. (2011). Therapeutic Efficacy of High Intensity Focused Ultrasound Combined with Neoadjuvant Chemotherapy in Breast Cancer. 2 indexed citations
19.
Jin, Feng. (2002). Advances in research on disease-specific protein of Tenuiviruses. Fujian nongye xuebao. 1 indexed citations
20.
Wang, Li, et al.. (2000). Genetic Structure of a 2,500-Year-Old Human Population in China and Its Spatiotemporal Changes. Molecular Biology and Evolution. 17(9). 1396–1400. 35 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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