Fangfei Li

21 total papers · 584 total citations
16 papers, 423 citations indexed

About

Fangfei Li is a scholar working on Oncology, Molecular Biology and Neurology. According to data from OpenAlex, Fangfei Li has authored 16 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Fangfei Li's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Acute Ischemic Stroke Management (2 papers) and Ginkgo biloba and Cashew Applications (2 papers). Fangfei Li is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Acute Ischemic Stroke Management (2 papers) and Ginkgo biloba and Cashew Applications (2 papers). Fangfei Li collaborates with scholars based in China, Australia and Hong Kong. Fangfei Li's co-authors include J. Grant Collins, Marshall Feterl, Yanyan Mulyana, F. Richard Keene, Jeffrey Warner, Tao Feng, L. Wallace, Piu Chan, Atik Badshah Shaikh and Bing He and has published in prestigious journals such as International Journal of Molecular Sciences, Dalton Transactions and Journal of the Neurological Sciences.

In The Last Decade

Fangfei Li

15 papers receiving 419 citations

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 146 137 104 75 58 16 423
Pavlo Holenya 182 1.2× 120 0.9× 125 1.2× 24 0.3× 26 0.4× 20 470
Francisco J. González-González 92 0.6× 64 0.5× 65 0.6× 59 0.8× 95 1.6× 26 377
Vincent H. Bono 207 1.4× 109 0.8× 61 0.6× 26 0.3× 32 0.6× 22 445
Nagore I. Marín‐Ramos 205 1.4× 113 0.8× 46 0.4× 24 0.3× 58 1.0× 18 404
Abida Arshad 198 1.4× 58 0.4× 34 0.3× 32 0.4× 29 0.5× 25 431
Nilantha Bandara 106 0.7× 79 0.6× 40 0.4× 12 0.2× 46 0.8× 21 446
Rachel C. Botham 224 1.5× 71 0.5× 157 1.5× 16 0.2× 20 0.3× 15 426
Laura Meyer 106 0.7× 152 1.1× 23 0.2× 17 0.2× 85 1.5× 15 495
Pushkar Saralkar 154 1.1× 76 0.6× 50 0.5× 10 0.1× 80 1.4× 15 409
Hugh Giovinazzo 217 1.5× 209 1.5× 72 0.7× 11 0.1× 26 0.4× 16 467

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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