Tianbai Li

64 total papers · 1.4k total citations
44 papers, 1000 citations indexed

About

Tianbai Li is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tianbai Li has authored 44 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Neurology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tianbai Li's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Fatigue and fracture mechanics (8 papers) and Nuclear Receptors and Signaling (8 papers). Tianbai Li is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Fatigue and fracture mechanics (8 papers) and Nuclear Receptors and Signaling (8 papers). Tianbai Li collaborates with scholars based in China, United States and United Kingdom. Tianbai Li's co-authors include Weidong Le, Song Li, Zhaofei Yang, Yaping Shao, Haofeng Chen, Xiaojiao Xu, Weihang Chen, J. A. Yarmoff, Xiaolin Wang and Zheyi Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Cellular and Molecular Life Sciences and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Tianbai Li

42 papers receiving 993 citations

Author Peers

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

Author Last Decade Papers Cites
Tianbai Li 345 256 214 186 167 44 1000
Zhengbo Wang 397 1.2× 147 0.6× 123 0.6× 135 0.7× 125 0.7× 72 934
Ran Zheng 347 1.0× 166 0.6× 117 0.5× 117 0.6× 109 0.7× 98 1.1k
Wenlong Zhang 266 0.8× 126 0.5× 173 0.8× 141 0.8× 112 0.7× 69 931
Liaoliao Li 284 0.8× 128 0.5× 166 0.8× 177 1.0× 164 1.0× 39 1.2k
Jie‐Min Jia 425 1.2× 37 0.1× 155 0.7× 146 0.8× 332 2.0× 27 962
Chih-Chang Chao 205 0.6× 82 0.3× 87 0.4× 87 0.5× 235 1.4× 26 822
Chao Zhang 248 0.7× 93 0.4× 99 0.5× 249 1.3× 93 0.6× 45 1.2k
Shuai Zhang 230 0.7× 94 0.4× 98 0.5× 410 2.2× 100 0.6× 50 923
Shihao Wu 203 0.6× 56 0.2× 87 0.4× 68 0.4× 66 0.4× 61 802
Song Cao 227 0.7× 69 0.3× 295 1.4× 98 0.5× 158 0.9× 64 914

Countries citing papers authored by Tianbai Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianbai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianbai Li

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