Feng Zhang

10.9k total citations · 3 hit papers
167 papers, 6.9k citations indexed

About

Feng Zhang is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Feng Zhang has authored 167 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 35 papers in Cell Biology and 28 papers in Cancer Research. Recurrent topics in Feng Zhang's work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (17 papers) and RNA Research and Splicing (10 papers). Feng Zhang is often cited by papers focused on RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (17 papers) and RNA Research and Splicing (10 papers). Feng Zhang collaborates with scholars based in China, United States and Germany. Feng Zhang's co-authors include Karl Deisseroth, Viviana Gradinaru, Kimberly R. Thompson, Edward S. Boyden, Liping Wang, Joanna Mattis, Xiaowei Zhuang, Melike Lakadamyali, Michael J. Rust and Ilka Diester and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Feng Zhang

159 papers receiving 6.8k citations

Hit Papers

Molecular and Cellular Approaches for Diversifying and Ex... 2006 2026 2012 2019 2010 2006 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Zhang China 38 2.9k 2.7k 1.2k 765 708 167 6.9k
Miao He China 53 4.6k 1.6× 3.4k 1.3× 2.7k 2.3× 616 0.8× 252 0.4× 211 10.1k
Zheng Li China 47 4.6k 1.6× 2.4k 0.9× 688 0.6× 703 0.9× 300 0.4× 173 8.7k
Weiqi Zhang China 52 5.2k 1.8× 1.5k 0.6× 547 0.5× 1.0k 1.3× 344 0.5× 215 9.1k
Ying Zhang China 39 2.3k 0.8× 1.2k 0.5× 566 0.5× 1.3k 1.6× 518 0.7× 221 5.7k
Lan Ma China 55 5.4k 1.9× 3.5k 1.3× 929 0.8× 755 1.0× 223 0.3× 303 9.3k
Jan M. Deussing Germany 52 3.2k 1.1× 1.7k 0.6× 791 0.7× 749 1.0× 390 0.6× 169 10.7k
Daniel A. Peterson United States 40 4.8k 1.7× 4.6k 1.7× 1.0k 0.9× 605 0.8× 287 0.4× 73 12.7k
Stefan Heller United States 47 3.5k 1.2× 1.1k 0.4× 930 0.8× 572 0.7× 561 0.8× 163 8.1k
James Eberwine United States 50 5.9k 2.0× 2.5k 0.9× 603 0.5× 408 0.5× 412 0.6× 138 8.9k
Yuqing Li United States 42 3.1k 1.1× 2.8k 1.0× 778 0.7× 413 0.5× 144 0.2× 209 7.8k

Countries citing papers authored by Feng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhang. A scholar is included among the top collaborators of Feng Zhang 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 Zhang. Feng Zhang 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.
Sun, Yusha, Zhijian Zhang, Yicheng Wu, et al.. (2025). Cholinergic neuron-to-glioblastoma synapses in a human iPSC-derived co-culture model. Stem Cell Reports. 20(7). 102534–102534. 2 indexed citations
2.
Wang, Yingzhen, Yanyan Zhu, Feng Zhang, et al.. (2024). Graph‐Based Pangenome of Actinidia chinensis Reveals Structural Variations Mediating Fruit Degreening. Advanced Science. 11(28). e2400322–e2400322. 7 indexed citations
3.
Yang, Meiyi, Lifeng Xu, Bo Yang, et al.. (2024). Deep learning‐based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk. Medical Physics. 51(8). 5270–5282. 1 indexed citations
4.
Zheng, Chao, et al.. (2023). Pulmonary artery aneurysm caused by infective endarteritis attributed to patent ductus arteriosus in children: a case report and literature review. Frontiers in Pediatrics. 11. 1181462–1181462. 2 indexed citations
5.
Zhang, Feng, Guohao Zhao, Yu‐Fei Wu, & Ying Zhang. (2023). Effect of strand debonding on the shear strength of existing pretensioned PC hollow slab. Engineering Structures. 291. 116417–116417. 10 indexed citations
7.
Chen, Li, Siwei Xia, Feixia Wang, et al.. (2023). m6A methylation-induced NR1D1 ablation disrupts the HSC circadian clock and promotes hepatic fibrosis. Pharmacological Research. 189. 106704–106704. 18 indexed citations
8.
Wang, Li, Ling Xie, Feng Zhang, et al.. (2023). Non-canonical function of histone methyltransferase G9a in the translational regulation of chronic inflammation. Cell chemical biology. 30(12). 1525–1541.e7. 6 indexed citations
9.
Chen, Hengyu, Ming Yang, Haohao Huang, et al.. (2022). YTHDF1 promotes breast cancer progression by facilitating FOXM1 translation in an m6A-dependent manner. Cell & Bioscience. 12(1). 19–19. 80 indexed citations
10.
Zhang, Feng, et al.. (2020). Mixed Lineage Leukemia 1 Promoted Neuron Apoptosis in Ischemic Penumbra via Regulating ASK-1/TNF-α Complex. Frontiers in Neuroanatomy. 14. 36–36. 5 indexed citations
11.
Wang, Jing, et al.. (2015). Studies on embryo induction from un-pollinated ovary culture and regenerated plant in cucumber.. Zhongguo shucai. 48–53. 1 indexed citations
12.
Li, Yunbo, Dapeng Wang, Lei Wang, et al.. (2013). Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients. PLoS ONE. 8(2). e57168–e57168. 25 indexed citations
13.
Sun, Bing, Feng Zhang, Shikai Wu, et al.. (2011). Gene Expression Profiling for Breast Cancer Prognosis in Chinese Populations. The Breast Journal. 17(2). 172–179. 12 indexed citations
14.
Cai, Yujie, et al.. (2010). Isolation and identification of a cold-adapted lipase producing strain from decayed seeds of Ginkgo biloba L. and characterization of the lipase. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(18). 2661–2667. 13 indexed citations
15.
Knoblich, Ulf, Feng Zhang, Karl Deisseroth, et al.. (2010). Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
16.
Shu, Runzhe, Feng Zhang, Xuesong Liu, et al.. (2009). Target Deletion of the Cytoskeleton-Associated Protein Palladin Does Not Impair Neurite Outgrowth in Mice. PLoS ONE. 4(9). e6916–e6916. 5 indexed citations
17.
Zhang, Feng. (2005). Progresses in research on defence mechanism of echinoderms. Journal of Dalian Fisheries University. 2 indexed citations
18.
Zhang, Feng. (2002). A Study on Personality Characteristics and Personality Types of Drug users. Zhongguo linchuang xinlixue zazhi. 1 indexed citations
19.
Zhang, Feng. (2001). STATISTICAL ANALYSES OF AE DATA FROM AIRCRAFT. Acta Aeronautica Et Astronautica Sinica. 1 indexed citations
20.
Zhang, Feng. (2000). A Study on the Basic Personality Traits of Juvenile Criminals and Related Factors. Zhongguo linchuang xinlixue zazhi. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026