Fei He

1.6k total citations
55 papers, 806 citations indexed

About

Fei He is a scholar working on Plant Science, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Fei He has authored 55 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 15 papers in Genetics and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Fei He's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Wheat and Barley Genetics and Pathology (12 papers) and Air Quality and Health Impacts (10 papers). Fei He is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Wheat and Barley Genetics and Pathology (12 papers) and Air Quality and Health Impacts (10 papers). Fei He collaborates with scholars based in China, United States and Singapore. Fei He's co-authors include Zhipeng Bai, Bin Han, Jia Xu, Qingchuan Yang, Junmei Kang, Ruicai Long, Mingna Li, Jian Zhou, Can Niu and Xiliang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Fei He

48 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei He China 17 304 275 120 106 96 55 806
Li Guo China 15 218 0.7× 106 0.4× 97 0.8× 64 0.6× 107 1.1× 63 636
Wenjing Chang China 14 148 0.5× 481 1.7× 41 0.3× 73 0.7× 45 0.5× 45 971
Jincheng Liu China 18 29 0.1× 164 0.6× 209 1.7× 200 1.9× 50 0.5× 53 868
Douglas J. Macdonald Canada 11 139 0.5× 29 0.1× 84 0.7× 76 0.7× 87 0.9× 24 660
Zhiwei Wan China 13 43 0.1× 148 0.5× 11 0.1× 56 0.5× 136 1.4× 46 1.0k
Norela Sulaiman Malaysia 12 126 0.4× 93 0.3× 62 0.5× 48 0.5× 49 0.5× 47 430
Lingling Japan 12 118 0.4× 47 0.2× 23 0.2× 54 0.5× 58 0.6× 97 515
X. Lei China 18 571 1.9× 94 0.3× 213 1.8× 107 1.0× 87 0.9× 47 945
Yujing Zhang China 16 119 0.4× 43 0.2× 56 0.5× 116 1.1× 57 0.6× 30 683
Tristan Boyer Binns 2 95 0.3× 75 0.3× 50 0.4× 30 0.3× 16 0.2× 3 512

Countries citing papers authored by Fei He

Since Specialization
Citations

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

Fields of papers citing papers by Fei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei He

This figure shows the co-authorship network connecting the top 25 collaborators of Fei He. A scholar is included among the top collaborators of Fei 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 Fei He. Fei 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.
Xu, Yanchao, Hao Liu, Qingsong Liu, et al.. (2025). Genome-wide association study revealed candidate genes associated with leaf size in alfalfa (Medicago sativa L.). BMC Plant Biology. 25(1). 180–180. 1 indexed citations
2.
3.
4.
He, Fei, M. Xu, Ruicai Long, et al.. (2025). Integrative multi-omics and genomic prediction reveal genetic basis of salt tolerance in alfalfa. Journal of genetics and genomics. 53(3). 447–457.
5.
Xu, Mengjian, Yifan Yao, Yating Cai, et al.. (2025). Non-volatile and multistate terahertz response in semi-floating-gate graphene field-effect transistors. Optics Express. 33(11). 22196–22196.
6.
Zhao, Li, Hao Liu, Fei He, et al.. (2025). Genome-wide identification and expression pattern analysis of the CPP transcription factor family in Medicago sativa L. BMC Plant Biology. 25(1). 1400–1400. 1 indexed citations
7.
Yang, Yongsheng, et al.. (2025). Mitigating air pollution’s impact on lung cancer in a large-scale longitudinal study: The unexplored potential of dietary interventions. Ecotoxicology and Environmental Safety. 297. 118230–118230. 1 indexed citations
8.
Wu, Xiangyu, Tianyi He, Fei He, & Li Liu. (2025). Is postoperative cognitive dysfunction a disease of microglial inflammatory memory? A state-transition model from metabolic stress to epigenetic lock-in. Frontiers in Molecular Neuroscience. 18. 1648161–1648161. 2 indexed citations
9.
Liu, Hao, Fei He, Mingna Li, et al.. (2024). Multi-omics integrative analysis provided new insights into alkaline stress in alfalfa. Plant Physiology and Biochemistry. 215. 109048–109048. 8 indexed citations
10.
Cui, Jing, Yajing Li, Lili Zhang, et al.. (2024). Genome-Wide Identification, Phylogenetic, and Expression Analysis of Jasmonate ZIM-Domain Gene Family in Medicago Sativa L.. International Journal of Molecular Sciences. 25(19). 10589–10589. 2 indexed citations
11.
Long, Ruicai, Fei He, Xue Wang, et al.. (2024). MsFtsH8 Enhances the Tolerance of PEG-Simulated Drought Stress by Boosting Antioxidant Capacity in Medicago sativa L.. Plants. 13(21). 3025–3025. 4 indexed citations
12.
He, Fei, Fan Zhang, Ruicai Long, et al.. (2023). Transcriptome and GWAS Analyses Reveal Candidate Gene for Root Traits of Alfalfa during Germination under Salt Stress. International Journal of Molecular Sciences. 24(7). 6271–6271. 4 indexed citations
13.
He, Fei, Guoqing Zhao, Mingna Li, et al.. (2023). Genome-Wide Identification and Phylogenetic and Expression Analyses of the PLATZ Gene Family in Medicago sativa L.. International Journal of Molecular Sciences. 24(3). 2388–2388. 24 indexed citations
14.
Long, Ruicai, Fan Zhang, Zhiwu Zhang, et al.. (2022). Genome Assembly of Alfalfa Cultivar Zhongmu-4 and Identification of SNPs Associated with Agronomic Traits. Genomics Proteomics & Bioinformatics. 20(1). 14–28. 62 indexed citations
15.
He, Fei, Lixia Zhang, Guoqing Zhao, et al.. (2022). Genome-Wide Identification and Expression Analysis of the NAC Gene Family in Alfalfa Revealed Its Potential Roles in Response to Multiple Abiotic Stresses. International Journal of Molecular Sciences. 23(17). 10015–10015. 18 indexed citations
16.
He, Fei, Yunxiu Zhang, Ruicai Long, et al.. (2022). Genome-Wide Association Analysis Coupled With Transcriptome Analysis Reveals Candidate Genes Related to Salt Stress in Alfalfa (Medicago sativa L.). Frontiers in Plant Science. 12. 826584–826584. 32 indexed citations
17.
Chen, Lin, Fei He, Ruicai Long, et al.. (2021). A global alfalfa diversity panel reveals genomic selection signatures in Chinese varieties and genomic associations with root development. Journal of Integrative Plant Biology. 63(11). 1937–1951. 37 indexed citations
18.
Xu, Qiang, Dongdong Lin, Xin Li, et al.. (2019). Association between single nucleotide polymorphisms of NOTCH signaling pathway-related genes and the prognosis of NSCLC. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Zhang, Nan, Bin Han, Fei He, et al.. (2017). Chemical characteristic of PM2.5 emission and inhalational carcinogenic risk of domestic Chinese cooking. Environmental Pollution. 227. 24–30. 103 indexed citations
20.
Xu, Jia, Nan Zhang, Bin Han, et al.. (2016). Assessment on personal exposure to particulate compounds using an empirical exposure model in an elderly community in Tianjin, China. The Science of The Total Environment. 572. 1080–1091. 8 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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