Tao Sheng

28 total papers · 613 total citations
23 papers, 503 citations indexed

About

Tao Sheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Tao Sheng has authored 23 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Tao Sheng's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Tao Sheng is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Tao Sheng collaborates with scholars based in China, United States and Japan. Tao Sheng's co-authors include Nonggao He, Sumin Chi, Frank McCormick, Zoran Gatalica, Jingwu Xie, Shaoli Wang, Qin Gu, Xuewen Gao, Wei Lü and Huijun Wu and has published in prestigious journals such as Journal of Biological Chemistry, ACS Applied Materials & Interfaces and Journal of Medicinal Chemistry.

In The Last Decade

Tao Sheng

23 papers receiving 493 citations

Author Peers

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

Author Last Decade Papers Cites
Tao Sheng 292 87 62 61 42 23 503
Yen‐Chen Liu 273 0.9× 74 0.9× 30 0.5× 44 0.7× 85 2.0× 19 472
Min Wu 341 1.2× 52 0.6× 62 1.0× 36 0.6× 49 1.2× 27 493
Dhivya Arasappan 218 0.7× 61 0.7× 89 1.4× 28 0.5× 42 1.0× 18 450
Marianna Paulis 424 1.5× 48 0.6× 30 0.5× 46 0.8× 97 2.3× 28 534
Kevin Chen 248 0.8× 42 0.5× 49 0.8× 48 0.8× 42 1.0× 21 500
Midori Koyanagi 272 0.9× 68 0.8× 31 0.5× 47 0.8× 81 1.9× 23 522
Hui Xu 237 0.8× 57 0.7× 25 0.4× 61 1.0× 27 0.6× 31 531
Marine Luka 247 0.8× 36 0.4× 34 0.5× 60 1.0× 41 1.0× 20 498
Miriam Shmuel 248 0.8× 63 0.7× 20 0.3× 58 1.0× 36 0.9× 24 549
Ameet A. Chimote 269 0.9× 99 1.1× 18 0.3× 60 1.0× 16 0.4× 24 510

Countries citing papers authored by Tao Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Tao Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Sheng

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