Fangfei Li

54 total papers · 1.7k total citations
40 papers, 1.2k citations indexed

About

Fangfei Li is a scholar working on Oncology, Immunology and Neurology. According to data from OpenAlex, Fangfei Li has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 9 papers in Immunology and 7 papers in Neurology. Recurrent topics in Fangfei Li's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Immune Cell Function and Interaction (4 papers) and Neurological disorders and treatments (4 papers). Fangfei Li is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Immune Cell Function and Interaction (4 papers) and Neurological disorders and treatments (4 papers). Fangfei Li collaborates with scholars based in China, Hong Kong and United Kingdom. Fangfei Li's co-authors include J. Grant Collins, F. Richard Keene, Ge Zhang, Aiping Lü, Tao Feng, Xuemei Wang, Shun Yu, Xiaoqiu Wu, Chao Liang and Feng Jiang and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and Cancer Research.

In The Last Decade

Fangfei Li

36 papers receiving 1.2k citations

Hit Papers

Timosaponin AIII promotes... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Fangfei Li 473 432 263 158 156 40 1.2k
Amelia Barilli 310 0.7× 469 1.1× 156 0.6× 51 0.3× 147 0.9× 51 1.4k
Ennio Cavalletti 675 1.4× 478 1.1× 188 0.7× 88 0.6× 127 0.8× 35 1.5k
Asma M. Aman 237 0.5× 687 1.6× 194 0.7× 61 0.4× 65 0.4× 45 1.5k
Rogier C. Buijsman 227 0.5× 565 1.3× 247 0.9× 38 0.2× 90 0.6× 49 1.3k
Di Chen 412 0.9× 356 0.8× 260 1.0× 31 0.2× 58 0.4× 38 1.2k
Federica Saletta 371 0.8× 773 1.8× 56 0.2× 71 0.4× 264 1.7× 38 1.5k
Takanobu Kikuchi 118 0.2× 687 1.6× 113 0.4× 106 0.7× 99 0.6× 38 1.2k
Yoshihisa Namiki 244 0.5× 482 1.1× 138 0.5× 60 0.4× 103 0.7× 43 1.4k
Federica Chiara 204 0.4× 806 1.9× 147 0.6× 47 0.3× 45 0.3× 44 1.3k
Jinyu Chen 175 0.4× 692 1.6× 86 0.3× 76 0.5× 75 0.5× 62 1.3k

Countries citing papers authored by Fangfei Li

Since Specialization
Citations

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

Fields of papers citing papers by Fangfei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfei Li

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