Guoping Fan

21.9k total citations · 7 hit papers
130 papers, 15.7k citations indexed

About

Guoping Fan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Guoping Fan has authored 130 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 34 papers in Genetics and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Guoping Fan's work include Epigenetics and DNA Methylation (44 papers), Pluripotent Stem Cells Research (26 papers) and Genetics and Neurodevelopmental Disorders (25 papers). Guoping Fan is often cited by papers focused on Epigenetics and DNA Methylation (44 papers), Pluripotent Stem Cells Research (26 papers) and Genetics and Neurodevelopmental Disorders (25 papers). Guoping Fan collaborates with scholars based in United States, China and Japan. Guoping Fan's co-authors include Thuc T. Le, Lisa Moore, Yi Eve Sun, Jian Feng, Shaun D. Fouse, Hao Wu, Fei He, Keri Martinowich, Rudolf Jaenisch and Kevin Huang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Guoping Fan

128 papers receiving 15.5k citations

Hit Papers

DNA Methylation and Its Basic Function 2001 2026 2009 2017 2012 2003 2010 2013 2001 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
Guoping Fan United States 54 10.9k 3.7k 2.0k 1.9k 1.7k 130 15.7k
Terry Magnuson United States 70 12.5k 1.1× 4.2k 1.1× 1.8k 0.9× 1.1k 0.6× 1.7k 1.0× 198 18.0k
Wolfgang Wurst Germany 82 14.7k 1.4× 3.7k 1.0× 5.6k 2.9× 2.5k 1.3× 1.6k 0.9× 372 25.5k
Peng Jin United States 62 14.3k 1.3× 5.5k 1.5× 1.6k 0.8× 1.1k 0.6× 3.4k 2.0× 237 18.2k
Steven A. McCarroll United States 54 12.4k 1.1× 7.5k 2.0× 2.0k 1.0× 837 0.4× 2.2k 1.3× 108 23.5k
Heiner Westphal United States 73 14.9k 1.4× 5.8k 1.6× 3.0k 1.5× 1.8k 0.9× 1.1k 0.6× 153 22.5k
Alysson R. Muotri United States 54 8.7k 0.8× 2.7k 0.7× 2.0k 1.0× 1.5k 0.8× 880 0.5× 172 12.5k
Anthony Wynshaw‐Boris United States 85 18.8k 1.7× 5.9k 1.6× 3.3k 1.7× 2.2k 1.1× 2.5k 1.5× 204 27.9k
Yi Eve Sun United States 36 6.9k 0.6× 2.2k 0.6× 1.7k 0.9× 1.9k 1.0× 1.1k 0.7× 85 9.6k
Sten Linnarsson Sweden 45 10.5k 1.0× 1.4k 0.4× 2.8k 1.5× 1.5k 0.8× 2.1k 1.3× 79 15.8k
Lino Tessarollo United States 79 11.0k 1.0× 2.3k 0.6× 5.6k 2.9× 2.4k 1.3× 1.3k 0.8× 247 21.2k

Countries citing papers authored by Guoping Fan

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Fan. A scholar is included among the top collaborators of Guoping Fan 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 Guoping Fan. Guoping Fan 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.
Wang, Jing, Xiaoqian Deng, Shanshan Yin, et al.. (2025). DNA methyltransferase 1 modulates mitochondrial function through bridging m5C RNA methylation. Molecular Cell. 85(10). 1999–2016.e11. 3 indexed citations
2.
Chen, Jia, et al.. (2024). Photo-Crosslinked Pro-Angiogenic Hydrogel Dressing for Wound Healing. International Journal of Molecular Sciences. 25(18). 9948–9948. 3 indexed citations
3.
Qin, Jinling, et al.. (2024). Integrating Complaint Analysis into Hospital Management: A Comparative Study of Surgical and Non-Surgical Complaints. British Journal of Hospital Medicine. 85(8). 1–17. 1 indexed citations
4.
Xiao, Yuhua, et al.. (2024). Simultaneous profiling of RNA isoforms and chromatin accessibility of single cells of human retinal organoids. Nature Communications. 15(1). 8022–8022. 3 indexed citations
5.
Zhu, Xianmin, Yuehua Gao, Yixiao Dong, et al.. (2023). DNA methylation in small cell lung cancer. SHILAP Revista de lepidopterología. 3(3).
6.
Xu, Doudou, Kai Qiu, Yubo Wang, et al.. (2023). Single‐Cell RNA‐Sequencing Provides Insight into Skeletal Muscle Evolution during the Selection of Muscle Characteristics. Advanced Science. 10(35). e2305080–e2305080. 20 indexed citations
7.
Wang, Tengfei, Yuanyuan Shi, Peipei Jiang, et al.. (2023). Chemical-induced phase transition and global conformational reorganization of chromatin. Nature Communications. 14(1). 5556–5556. 15 indexed citations
8.
Tian, Chenglei, Jing Wang, Xiaoying Ye, et al.. (2023). Culture conditions of mouse ESCs impact the tumor appearance in vivo. Cell Reports. 42(6). 112645–112645. 1 indexed citations
9.
Ma, Li, Jing Wang, Wei Zhang, et al.. (2021). Reversing neural circuit and behavior deficit in mice exposed to maternal inflammation by Zika virus. EMBO Reports. 22(8). e51978–e51978. 5 indexed citations
10.
11.
Lv, Bo, Qin An, Qiao Zeng, et al.. (2019). Single-cell RNA sequencing reveals regulatory mechanism for trophoblast cell-fate divergence in human peri-implantation conceptuses. PLoS Biology. 17(10). e3000187–e3000187. 56 indexed citations
12.
Hu, Youjin, Qin An, Ying Guo, et al.. (2019). Simultaneous Profiling of mRNA Transcriptome and DNA Methylome from a Single Cell. Methods in molecular biology. 1979. 363–377. 20 indexed citations
14.
Guo, Chunyuan, Lirong Pei, Xiao Xiao, et al.. (2017). DNA methylation protects against cisplatin-induced kidney injury by regulating specific genes, including interferon regulatory factor 8. Kidney International. 92(5). 1194–1205. 53 indexed citations
15.
Huang, Kevin, Toru Maruyama, & Guoping Fan. (2014). The Naive State of Human Pluripotent Stem Cells: A Synthesis of Stem Cell and Preimplantation Embryo Transcriptome Analyses. Cell stem cell. 15(4). 410–415. 116 indexed citations
16.
Cushman, Jesse D., J. Maldonado, Eunice E. Kwon, et al.. (2012). Juvenile neurogenesis makes essential contributions to adult brain structure and plays a sex-dependent role in fear memories. Frontiers in Behavioral Neuroscience. 6. 3–3. 36 indexed citations
17.
Feng, Jian & Guoping Fan. (2009). The Role of DNA Methylation in the Central Nervous System and Neuropsychiatric Disorders. International review of neurobiology. 89. 67–84. 136 indexed citations
18.
Coskun, Volkan, Hao Wu, Bruno Blanchi, et al.. (2008). CD133 + neural stem cells in the ependyma of mammalian postnatal forebrain. Proceedings of the National Academy of Sciences. 105(3). 1026–1031. 258 indexed citations
19.
Zeng, Qiao, Qian Pan, Kun Xia, et al.. (2008). Efficient Derivation of Mesenchymal Stem Cells and Neural Precursor Cells from Human Embryonic Stem Cells through Teratoma Formation. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 35(12). 1417–1424. 2 indexed citations
20.
Zhang, Chi, et al.. (2005). The use of a retrievable self-expanding stent in treating childhood benign esophageal strictures. Journal of Pediatric Surgery. 40(3). 501–504. 41 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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