Fang Li

252 total papers · 6.4k total citations
166 papers, 4.9k citations indexed

About

Fang Li is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Fang Li has authored 166 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 25 papers in Immunology and 24 papers in Genetics. Recurrent topics in Fang Li's work include Genetic and phenotypic traits in livestock (10 papers), Chemokine receptors and signaling (9 papers) and Immune Response and Inflammation (7 papers). Fang Li is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Chemokine receptors and signaling (9 papers) and Immune Response and Inflammation (7 papers). Fang Li collaborates with scholars based in China, United States and Canada. Fang Li's co-authors include Xiaoqin Liu, Masayori Inouye, Dongfeng Zhang, Jiachun Lü, Mingxing An, Wei Li, Liyuan Zhang, Jieqiong Deng, Yifeng Zhou and Jian Zheng and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Fang Li

158 papers receiving 4.8k citations

Hit Papers

Circular RNA ITCH has inh... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Fang Li 2.3k 786 650 641 532 166 4.9k
Emmanuel Dias‐Neto 2.1k 0.9× 507 0.6× 304 0.5× 430 0.7× 920 1.7× 148 5.5k
Jinyu Wang 1.7k 0.8× 452 0.6× 510 0.8× 448 0.7× 420 0.8× 301 4.6k
Bing Xia 4.1k 1.8× 409 0.5× 586 0.9× 373 0.6× 479 0.9× 112 6.0k
Jun Ma 4.5k 2.0× 996 1.3× 693 1.1× 321 0.5× 468 0.9× 195 7.4k
Robert Sebra 2.8k 1.3× 516 0.7× 496 0.8× 944 1.5× 591 1.1× 173 5.9k
Radha K. Maheshwari 2.0k 0.9× 392 0.5× 599 0.9× 368 0.6× 199 0.4× 117 6.0k
Lei Yin 2.3k 1.0× 521 0.7× 1.0k 1.6× 376 0.6× 398 0.7× 112 5.1k
Domenico Britti 1.6k 0.7× 302 0.4× 532 0.8× 421 0.7× 255 0.5× 197 5.5k
Wenjing Wang 2.5k 1.1× 808 1.0× 866 1.3× 212 0.3× 477 0.9× 288 5.0k
De Wu 2.2k 1.0× 562 0.7× 455 0.7× 325 0.5× 406 0.8× 335 6.3k

Countries citing papers authored by Fang Li

Since Specialization
Citations

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

Fields of papers citing papers by Fang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Li. A scholar is included among the top collaborators of Fang Li 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 Fang Li. Fang Li 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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