Yu Fan

152 total papers · 4.4k total citations
82 papers, 1.9k citations indexed

About

Yu Fan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yu Fan has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Plant Science and 14 papers in Genetics. Recurrent topics in Yu Fan's work include Plant Molecular Biology Research (10 papers), interferon and immune responses (8 papers) and Seed and Plant Biochemistry (7 papers). Yu Fan is often cited by papers focused on Plant Molecular Biology Research (10 papers), interferon and immune responses (8 papers) and Seed and Plant Biochemistry (7 papers). Yu Fan collaborates with scholars based in China, United States and Hong Kong. Yu Fan's co-authors include Yong‐Gang Yao, Dengfeng Zhang, Dandan Yu, Min Xu, Ling Xu, Rongcan Luo, Hejiang Zhou, Ling‐Yan Su, Jing Yang and Yong Wu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yu Fan

75 papers receiving 1.9k citations

Hit Papers

Activation of PPARA-media... 2019 2026 2021 2023 2019 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu Fan 792 379 291 263 239 82 1.9k
TuKiet T. Lam 1.6k 2.0× 413 1.1× 198 0.7× 217 0.8× 285 1.2× 112 3.0k
Abdul R. Asif 1.1k 1.4× 288 0.8× 156 0.5× 183 0.7× 194 0.8× 92 2.2k
Jing Bi 978 1.2× 259 0.7× 349 1.2× 310 1.2× 267 1.1× 101 2.6k
E Werle 648 0.8× 446 1.2× 303 1.0× 222 0.8× 276 1.2× 118 2.7k
Christina Alves Peixoto 991 1.3× 393 1.0× 121 0.4× 286 1.1× 288 1.2× 154 3.1k
Muhammad Imran Naseer 898 1.1× 225 0.6× 287 1.0× 115 0.4× 165 0.7× 150 2.2k
Xiang Zhou 1.1k 1.3× 237 0.6× 372 1.3× 321 1.2× 126 0.5× 91 2.4k
Jingjing Fan 940 1.2× 376 1.0× 172 0.6× 164 0.6× 275 1.2× 108 2.2k
Limin Shi 687 0.9× 202 0.5× 364 1.3× 397 1.5× 308 1.3× 43 2.6k
Li Li 857 1.1× 300 0.8× 98 0.3× 482 1.8× 342 1.4× 81 2.5k

Countries citing papers authored by Yu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fan. A scholar is included among the top collaborators of Yu 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 Yu Fan. Yu Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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