Dan Cao

18 total papers · 506 total citations
12 papers, 311 citations indexed

About

Dan Cao is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Dan Cao has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Dan Cao's work include Soybean genetics and cultivation (3 papers), HIV Research and Treatment (3 papers) and HIV/AIDS Research and Interventions (2 papers). Dan Cao is often cited by papers focused on Soybean genetics and cultivation (3 papers), HIV Research and Treatment (3 papers) and HIV/AIDS Research and Interventions (2 papers). Dan Cao collaborates with scholars based in China, United States and Russia. Dan Cao's co-authors include Hao Huang, Bin Huang, Yuxian Xiong, Guoliang Zhang, Xiaogang Niu, Ming Liu, Ziyang Fu, Shuyan Liu, Yong Zhao and Huan Zhou and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Cell Reports.

In The Last Decade

Dan Cao

12 papers receiving 306 citations

Hit Papers

The complex structure of ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Dan Cao 178 122 112 73 28 12 311
Seyed Arad Moghadasi 216 1.2× 114 0.9× 93 0.8× 46 0.6× 39 1.4× 16 321
Chia‐Shin Yang 131 0.7× 102 0.8× 91 0.8× 56 0.8× 12 0.4× 20 330
Ziyang Fu 146 0.8× 145 1.2× 109 1.0× 52 0.7× 14 0.5× 13 329
Yuxi Lin 119 0.7× 139 1.1× 141 1.3× 58 0.8× 12 0.4× 14 328
Bartłomiej Pawlik 124 0.7× 120 1.0× 105 0.9× 40 0.5× 12 0.4× 14 333
Ian A. Durie 155 0.9× 150 1.2× 102 0.9× 68 0.9× 9 0.3× 9 324
Ting Chen 161 0.9× 108 0.9× 51 0.5× 38 0.5× 45 1.6× 22 332
Yuxian Xiong 169 0.9× 110 0.9× 112 1.0× 68 0.9× 18 0.6× 6 275
Brendan T. Freitas 229 1.3× 128 1.0× 108 1.0× 114 1.6× 24 0.9× 9 364
Md. Jahirul Islam 109 0.6× 146 1.2× 51 0.5× 25 0.3× 29 1.0× 20 285

Countries citing papers authored by Dan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Cao

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