Yan Fu

8.5k citations
70 papers · 2.9k · h-index 27

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Plant Disease Resistance and Genetics
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Genomics and Phylogenetic Studies
    • Photosynthetic Processes and Mechanisms

Papers in

    • Genomics and Phylogenetic Studies 9
    • RNA and protein synthesis mechanisms 6
    • Peroxisome Proliferator-Activated Receptors 5
    • Chromosomal and Genetic Variations 11
    • Plant Disease Resistance and Genetics 4

Yan Fu

70 papers receiving 2.9k citations

Peers

Yan Fu
Comparison fields: 5 of 125
  • Plant Science 1.6k
  • Molecular Biology 1.4k
  • Genetics 536
  • Horticulture 14
  • Animal Science and Zoology 120
Replace Je Min Lee with:
Je Min Lee South Korea
Haiyan Wang China
Peng Gao China
Akira Saito Japan
Yongsheng Liu China
Yan Fu relative to Je Min Lee South Korea Je Min Lee's profile →
Citations per field
00.5×3.4×
Je Min Lee · 1×
Citations per year

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Fu, 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 Yan Fu Line = papers co-authored together Yan Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009382
2 2008296
3 2008250
4 2009162
5 2011135
6 2007111
7 2002100
8 200283
9 200582
10 200981
11 201881
12 200572
13 200870
14 201667
15 200666
16 201062
17 200561
18 200553
19 200651
20 201444

About Yan Fu

Yan Fu is a scholar working on Molecular Biology, Plant Science, Genetics, Animal Science and Zoology and Food Science, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Pesticide Residue Analysis and Safety (6 papers), RNA and protein synthesis mechanisms (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Pesticide and Herbicide Environmental Studies (4 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.4k citations), Genetics (536 citations), Horticulture (14 citations) and Animal Science and Zoology (120 citations). Yan Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include W. Brad Barbazuk, Karen McGinnis, Patrick S. Schnable, Dan Nettleton, Rajeev Arora, Cheng‐Ting Yeh, Kai Ying, Tieming Ji, Ramanjulu Sunkar and Oliver Yu. Their work appears in journals such as Canadian Journal of Animal Science, Biochemical Genetics, PLANT PHYSIOLOGY, Genetics and Genome Research.

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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