Fei He

6.5k citations
90 papers · 2.6k · h-index 28

Impact in

  • Aging top 2%
    • GABA and Rice Research
    • Plant Virus Research Studies
    • Wheat and Barley Genetics and Pathology
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Phylogenetic Studies 10
    • CRISPR and Genetic Engineering 10
    • Bioinformatics and Genomic Networks 7
    • Wheat and Barley Genetics and Pathology 15
    • Plant Virus Research Studies 9
    • Chromosomal and Genetic Variations 6
    • Plant Molecular Biology Research 5

Fei He

80 papers receiving 2.6k citations

Peers

Fei He
Comparison fields: 5 of 133
  • Aging 90
  • Plant Science 1.3k
  • Business and International Management 60
  • Biochemistry 145
  • Molecular Biology 1.5k
Replace Daowen Wang with:
Daowen Wang China
Fei Zhang China
Yong Xu China
Kranthi K. Mandadi United States
Yàn Liú China
Zhe Zhang China
Erik Andréasson Sweden
Yan Fu China
Sayed Haidar Abbas Raza China
Fei He relative to Daowen Wang China Daowen Wang's profile →
Citations per field
00.5×1.6×
Daowen Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Fei He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei He Line = papers co-authored together Fei He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008276
2 2018166
3 2008162
4 2015142
5 2010129
6 2018104
7 2018103
8 2019100
9 201197
10 201874
11 201264
12 201462
13 202252
14 201750
15 201649
16 200845
17 201541
18 200140
19 201138
20 201538

About Fei He

Fei He is a scholar working on Molecular Biology, Plant Science, Genetics, Pathology and Forensic Medicine and Ecology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (15 papers), Genomics and Phylogenetic Studies (10 papers), CRISPR and Genetic Engineering (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Plant Virus Research Studies (9 papers), Bioinformatics and Genomic Networks (7 papers), Chromosomal and Genetic Variations (6 papers) and Plant Molecular Biology Research (5 papers). The work is most often cited by research in Aging (90 citations), Plant Science (1.3k citations), Business and International Management (60 citations), Biochemistry (145 citations) and Molecular Biology (1.5k citations). Fei He has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Ziding Zhang, Eduard Akhunov, Alina Akhunova, Harold N. Trick, Wei Wang, Qianli Pan, Chang‐Qing Duan, Qiu‐Hong Pan, Ying Shi and Xu Peng. Their work appears in journals such as Plant Biotechnology Journal, The Plant Journal, PLoS ONE, Scientific Reports and Nature Communications.

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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