Jun‐Tao Cao

132 total papers · 4.5k total citations
119 papers, 3.9k citations indexed

About

Jun‐Tao Cao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jun‐Tao Cao has authored 119 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 58 papers in Biomedical Engineering and 44 papers in Materials Chemistry. Recurrent topics in Jun‐Tao Cao's work include Advanced biosensing and bioanalysis techniques (93 papers), Biosensors and Analytical Detection (46 papers) and Advanced Nanomaterials in Catalysis (28 papers). Jun‐Tao Cao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (93 papers), Biosensors and Analytical Detection (46 papers) and Advanced Nanomaterials in Catalysis (28 papers). Jun‐Tao Cao collaborates with scholars based in China, United States and India. Jun‐Tao Cao's co-authors include Yan‐Ming Liu, Shu‐Wei Ren, Shuhui Ma, Yu-Xiang Dong, Jun‐Jie Zhu, Yuling Wang, Ke‐Jing Huang, Bing Wang, Yonghong Chen and Hui Wang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Analytical Chemistry.

In The Last Decade

Jun‐Tao Cao

114 papers receiving 3.9k citations

Hit Papers

Review of diagenetic faci... 2018 2026 2020 2023 2018 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
Jun‐Tao Cao 2.5k 1.5k 1.3k 894 558 119 3.9k
Jian‐Jun Sun 1.5k 0.6× 1.3k 0.8× 924 0.7× 1.4k 1.5× 982 1.8× 186 4.1k
Yijia Wang 1.0k 0.4× 1.2k 0.8× 1.7k 1.4× 1.2k 1.3× 213 0.4× 142 3.6k
Xi Zhang 1.5k 0.6× 1.3k 0.9× 1.4k 1.1× 794 0.9× 184 0.3× 144 4.3k
Kislon Voı̈tchovsky 695 0.3× 716 0.5× 1.0k 0.8× 666 0.7× 406 0.7× 79 3.6k
Norio Teramae 2.0k 0.8× 1.1k 0.8× 2.1k 1.7× 833 0.9× 539 1.0× 263 6.1k
Julia Xiaojun Zhao 1.1k 0.4× 1.6k 1.0× 2.2k 1.7× 471 0.5× 124 0.2× 91 4.5k
Rosario Pereiro 1.2k 0.5× 850 0.6× 1.9k 1.5× 1.3k 1.4× 511 0.9× 222 5.5k
Hongying Liu 929 0.4× 602 0.4× 1.4k 1.1× 1.2k 1.4× 529 0.9× 126 3.2k
Yukari Sato 1.2k 0.5× 772 0.5× 706 0.6× 2.5k 2.8× 1.2k 2.1× 161 4.4k
Alexandre Dazzi 646 0.3× 1.3k 0.8× 1.1k 0.9× 789 0.9× 151 0.3× 91 4.7k

Countries citing papers authored by Jun‐Tao Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Tao Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Tao Cao

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