Fa-Le Cao

19 total papers · 543 total citations
17 papers, 487 citations indexed

About

Fa-Le Cao is a scholar working on Physiology, Pharmacology and Molecular Biology. According to data from OpenAlex, Fa-Le Cao has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Pharmacology and 6 papers in Molecular Biology. Recurrent topics in Fa-Le Cao's work include Pain Mechanisms and Treatments (9 papers), Healthcare and Venom Research (7 papers) and Traditional Chinese Medicine Analysis (5 papers). Fa-Le Cao is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Healthcare and Venom Research (7 papers) and Traditional Chinese Medicine Analysis (5 papers). Fa-Le Cao collaborates with scholars based in China and United States. Fa-Le Cao's co-authors include Min Xu, Jun Chen, Pengtao Zhao, Yanxia Wang, Jian Hao, Ming‐Gang Liu, Zhichao Li, Liang Shan, Min Xu and Jun Chen and has published in prestigious journals such as European Journal of Pharmacology, American Journal of Respiratory Cell and Molecular Biology and Pharmacology Biochemistry and Behavior.

In The Last Decade

Fa-Le Cao

17 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Fa-Le Cao 188 141 118 89 89 17 487
Meeyul Hwang 222 1.2× 72 0.5× 65 0.6× 33 0.4× 66 0.7× 30 501
Jie Wang 107 0.6× 241 1.7× 96 0.8× 61 0.7× 49 0.6× 25 512
Qiaoyun Wu 152 0.8× 103 0.7× 125 1.1× 55 0.6× 25 0.3× 20 452
Chenxia Sheng 268 1.4× 93 0.7× 84 0.7× 48 0.5× 112 1.3× 16 523
Dong Jia 189 1.0× 186 1.3× 37 0.3× 56 0.6× 54 0.6× 18 550
Wen Yang 224 1.2× 170 1.2× 65 0.6× 65 0.7× 61 0.7× 21 547
Jiajia Fu 247 1.3× 72 0.5× 182 1.5× 43 0.5× 56 0.6× 24 541
Tao Sun 235 1.3× 59 0.4× 53 0.4× 42 0.5× 56 0.6× 24 540
Brahim Gargouri 118 0.6× 51 0.4× 71 0.6× 66 0.7× 32 0.4× 12 472
Anpeng Zhao 172 0.9× 81 0.6× 61 0.5× 31 0.3× 59 0.7× 17 409

Countries citing papers authored by Fa-Le Cao

Since Specialization
Citations

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

Fields of papers citing papers by Fa-Le Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa-Le Cao. 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 Fa-Le Cao. The network helps show where Fa-Le Cao may publish in the future.

Co-authorship network of co-authors of Fa-Le Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Fa-Le Cao. A scholar is included among the top collaborators of Fa-Le Cao 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 Fa-Le Cao. Fa-Le Cao 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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2026