Tian Li

41 total papers · 533 total citations
26 papers, 374 citations indexed

About

Tian Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Tian Li has authored 26 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Physiology. Recurrent topics in Tian Li's work include Diabetes Treatment and Management (5 papers), Alzheimer's disease research and treatments (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Tian Li is often cited by papers focused on Diabetes Treatment and Management (5 papers), Alzheimer's disease research and treatments (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Tian Li collaborates with scholars based in China, United States and United Kingdom. Tian Li's co-authors include Meina Wu, Jin‐Shun Qi, Qiang Su, Lu Yu, Rui Providência, Manling Liu, Heng Ma, Yue Yin, Nan Mu and Mai Chen and has published in prestigious journals such as Scientific Reports, Progress in Neurobiology and Cellular and Molecular Life Sciences.

In The Last Decade

Tian Li

25 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Tian Li 119 83 71 47 46 26 374
Mohammed F. El-Yamany 138 1.2× 63 0.8× 81 1.1× 29 0.6× 30 0.7× 24 395
Deniele Bezerra Lós 129 1.1× 105 1.3× 50 0.7× 89 1.9× 55 1.2× 22 401
Sherehan M. Ibrahim 139 1.2× 59 0.7× 72 1.0× 38 0.8× 29 0.6× 18 372
İmran İnce 102 0.9× 100 1.2× 77 1.1× 29 0.6× 56 1.2× 18 422
Gabriel Barros Rodrigues 111 0.9× 105 1.3× 51 0.7× 74 1.6× 45 1.0× 12 366
Jayanarayanan Sadanandan 91 0.8× 111 1.3× 50 0.7× 41 0.9× 65 1.4× 22 426
Maria Eduarda Rocha de França 123 1.0× 84 1.0× 37 0.5× 77 1.6× 41 0.9× 15 372
Xia Xu 126 1.1× 59 0.7× 81 1.1× 28 0.6× 26 0.6× 19 384
Yuan Zou 119 1.0× 84 1.0× 47 0.7× 32 0.7× 25 0.5× 26 381
Toshiyuki Chisaka 144 1.2× 64 0.8× 93 1.3× 46 1.0× 37 0.8× 25 442

Countries citing papers authored by Tian Li

Since Specialization
Citations

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

Fields of papers citing papers by Tian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Li

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