Feng Cao

36 total papers · 1.0k total citations
19 papers, 664 citations indexed

About

Feng Cao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Feng Cao has authored 19 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Feng Cao's work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers) and Plant-Microbe Interactions and Immunity (3 papers). Feng Cao is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers) and Plant-Microbe Interactions and Immunity (3 papers). Feng Cao collaborates with scholars based in Canada, China and United States. Feng Cao's co-authors include Darrell Desveaux, Keiko Yoshioka, Zhengping Jia, L. Stan Leung, Miguel A. Cortez, O. Carter Snead, Celeste Leung, Zikai Zhou, Wei Xie and Sheng Peng and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain Research.

In The Last Decade

Feng Cao

19 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Feng Cao 345 212 115 84 78 19 664
Catherine Tardivel 182 0.5× 163 0.8× 131 1.1× 53 0.6× 56 0.7× 33 774
Miguel Freire 275 0.8× 329 1.6× 214 1.9× 75 0.9× 34 0.4× 26 730
Gemma Huguet 192 0.6× 155 0.7× 191 1.7× 110 1.3× 47 0.6× 33 652
Paula Ashe 102 0.3× 319 1.5× 193 1.7× 84 1.0× 26 0.3× 15 651
Julien Gibon 151 0.4× 216 1.0× 243 2.1× 32 0.4× 40 0.5× 35 703
Elissa D. Pastuzyn 122 0.4× 504 2.4× 203 1.8× 79 0.9× 35 0.4× 12 755
Erika Bullier 364 1.1× 346 1.6× 171 1.5× 28 0.3× 97 1.2× 15 713
Liya Yang 130 0.4× 172 0.8× 130 1.1× 192 2.3× 57 0.7× 12 562
Neeliyath A. Ramakrishnan 115 0.3× 389 1.8× 121 1.1× 47 0.6× 89 1.1× 17 657
Jialing Xu 166 0.5× 257 1.2× 452 3.9× 43 0.5× 27 0.3× 21 793

Countries citing papers authored by Feng Cao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Cao

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