Shunmin He

11.8k total citations · 1 hit paper
64 papers, 3.4k citations indexed

About

Shunmin He is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Shunmin He has authored 64 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 19 papers in Cancer Research and 12 papers in Plant Science. Recurrent topics in Shunmin He's work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (15 papers) and RNA Research and Splicing (14 papers). Shunmin He is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (15 papers) and RNA Research and Splicing (14 papers). Shunmin He collaborates with scholars based in China, United States and Canada. Shunmin He's co-authors include Runsheng Chen, Peng Zhang, Yi Zhao, Geir Skogerbø, Da‐Wei Huang, Yanyan Li, Jiajia Wang, Yu Zheng, Changning Liu and Yuanchao Xue and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Shunmin He

60 papers receiving 3.3k citations

Hit Papers

N6-Methyladenine DNA Modification in Drosophila 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunmin He China 29 2.9k 1.3k 526 290 112 64 3.4k
Jonathan Houseley United Kingdom 23 3.5k 1.2× 600 0.5× 457 0.9× 275 0.9× 130 1.2× 43 3.9k
Stephen Watt United Kingdom 26 3.5k 1.2× 619 0.5× 612 1.2× 446 1.5× 120 1.1× 37 4.0k
Sherif Abou Elela Canada 38 4.0k 1.4× 728 0.5× 358 0.7× 227 0.8× 154 1.4× 96 4.4k
Ariel Bazzini United States 19 2.4k 0.8× 680 0.5× 610 1.2× 217 0.7× 114 1.0× 35 3.0k
Michał Wojciech Szcześniak Poland 16 1.8k 0.6× 761 0.6× 548 1.0× 230 0.8× 153 1.4× 39 2.6k
Zhi John Lu China 30 2.6k 0.9× 1.4k 1.1× 447 0.8× 254 0.9× 113 1.0× 68 3.3k
Juw Won Park United States 25 3.1k 1.1× 909 0.7× 277 0.5× 227 0.8× 237 2.1× 52 3.7k
Yuriko Sakaguchi Japan 34 3.4k 1.2× 909 0.7× 592 1.1× 225 0.8× 138 1.2× 56 3.9k
Adam Frankish United Kingdom 27 2.7k 0.9× 1.1k 0.8× 295 0.6× 373 1.3× 132 1.2× 39 3.2k
Martin J. Simard Canada 29 3.7k 1.3× 1.9k 1.4× 725 1.4× 185 0.6× 306 2.7× 59 4.6k

Countries citing papers authored by Shunmin He

Since Specialization
Citations

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

Fields of papers citing papers by Shunmin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunmin He

This figure shows the co-authorship network connecting the top 25 collaborators of Shunmin He. A scholar is included among the top collaborators of Shunmin He 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 Shunmin He. Shunmin He 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.
Li, Yanyan, Tingrui Song, Jingjing Zhang, et al.. (2025). Pathogen Adaptation of HLA Alleles and Its Correlation with Autoimmune Diseases in the Han Chinese. Genomics Proteomics & Bioinformatics. 23(2). 1 indexed citations
2.
Wang, Jiajia, Yanyan Li, Peng Zhang, et al.. (2025). Mitochondrial Genome Variants and Nuclear Mitochondrial DNA Segments in 7331 Individuals from NyuWa and 1KGP. Genomics Proteomics & Bioinformatics. 23(5).
3.
Huo, Xueyun, Xianhui Sun, Changlong Li, et al.. (2025). Genome-wide Genetic Mutations Accumulated in Pigs Genome-edited for Xenotransplantation and Their Filial Generation. Genomics Proteomics & Bioinformatics. 23(4).
4.
Yang, Xin, Tingrui Song, Weibin Gong, et al.. (2025). AlphaFold-guided structural analyses of nucleosome binding proteins. Nucleic Acids Research. 53(14). 1 indexed citations
5.
Wang, Mengdi, Tingrui Song, Suijuan Zhong, et al.. (2024). MAPbrain: a multi-omics atlas of the primate brain. Nucleic Acids Research. 53(D1). D1055–D1065. 3 indexed citations
6.
Bu, Fengxiao, Yang Wu, Gen Zhang, et al.. (2024). Exploring noncoding variants in genetic diseases: from detection to functional insights. Journal of genetics and genomics. 51(2). 111–132. 7 indexed citations
7.
Zhou, Honghong, Xingpei Hao, Peng Zhang, & Shunmin He. (2023). Noncoding RNA mutations in cancer. Wiley Interdisciplinary Reviews - RNA. 14(6). e1812–e1812. 16 indexed citations
8.
Zhao, Xin, Huaxia Luo, Shunmin He, et al.. (2022). Vertical distribution of size-fractionated bacterial communities in the water column of the Atacama Trench. Regional Studies in Marine Science. 55. 102470–102470. 3 indexed citations
9.
Wu, Meng, Huimin Hou, Ying Li, et al.. (2022). Novel MDM2 Inhibitor XR-2 Exerts Potent Anti-Tumor Efficacy and Overcomes Enzalutamide Resistance in Prostate Cancer. Frontiers in Pharmacology. 13. 871259–871259. 5 indexed citations
10.
Su, Ruibao, Changchang Cao, Lei Wang, et al.. (2021). Global profiling of RNA-binding protein target sites by LACE-seq. Nature Cell Biology. 23(6). 664–675. 61 indexed citations
11.
Zhang, Peng, Huaxia Luo, Yanyan Li, et al.. (2021). NyuWa Genome resource: A deep whole-genome sequencing-based variation profile and reference panel for the Chinese population. Cell Reports. 37(7). 110017–110017. 42 indexed citations
12.
He, Shunmin, Guoqiang Zhang, Jiajia Wang, et al.. (2019). 6mA-DNA-binding factor Jumu controls maternal-to-zygotic transition upstream of Zelda. Nature Communications. 10(1). 2219–2219. 36 indexed citations
13.
Chen, Liang, Jiayu Chen, Yi-Jou Huang, et al.. (2018). The Augmented R-Loop Is a Unifying Mechanism for Myelodysplastic Syndromes Induced by High-Risk Splicing Factor Mutations. Molecular Cell. 69(3). 412–425.e6. 195 indexed citations
14.
Sun, Baofa, Tong Li, Jinhua Xiao, et al.. (2016). Contribution of Multiple Inter-Kingdom Horizontal Gene Transfers to Evolution and Adaptation of Amphibian-Killing Chytrid, Batrachochytrium dendrobatidis. Frontiers in Microbiology. 7. 1360–1360. 6 indexed citations
15.
Zhang, Guoqiang, Hua Huang, Di Liu, et al.. (2015). N6-Methyladenine DNA Modification in Drosophila. Cell. 161(4). 893–906. 471 indexed citations breakdown →
16.
Wang, Jiajia, Tengfei Xiao, Peng Zhang, et al.. (2014). The influences of PRG-1 on the expression of small RNAs and mRNAs. BMC Genomics. 15(1). 321–321. 4 indexed citations
17.
Wang, Yunfei, Jingjing Chen, Guifeng Wei, et al.. (2011). The Caenorhabditis elegans intermediate-size transcriptome shows high degree of stage-specific expression. Nucleic Acids Research. 39(12). 5203–5214. 12 indexed citations
18.
Zhao, Yi, Shunmin He, Changning Liu, et al.. (2008). MicroRNA regulation of messenger-like noncoding RNAs: a network of mutual microRNA control. Trends in Genetics. 24(7). 323–327. 33 indexed citations
19.
He, Shunmin, Chenli Liu, Geir Skogerbø, et al.. (2007). NONCODE v2.0: decoding the non-coding. Nucleic Acids Research. 36(Database). D170–D172. 93 indexed citations
20.
He, Shunmin, Woong Sun, & Qiudong Deng. (2005). ON Direction–Selective Ganglion Cells in the Mouse Retina. Investigative Ophthalmology & Visual Science. 46(13). 2335–2335. 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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