Tianle Gao

53 total papers · 1.0k total citations
36 papers, 781 citations indexed

About

Tianle Gao is a scholar working on Physiology, Pharmacology and Pharmacology. According to data from OpenAlex, Tianle Gao has authored 36 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 14 papers in Pharmacology and 12 papers in Pharmacology. Recurrent topics in Tianle Gao's work include Pain Mechanisms and Treatments (17 papers), Pharmacological Effects of Natural Compounds (9 papers) and Berberine and alkaloids research (9 papers). Tianle Gao is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Pharmacological Effects of Natural Compounds (9 papers) and Berberine and alkaloids research (9 papers). Tianle Gao collaborates with scholars based in China, Sweden and United States. Tianle Gao's co-authors include Zsuzsanna Wiesenfeld‐Hallin, Xiao‐Jun Xu, Dan‐Qiao Wang, Jing‐Xia Hao, Jian‐Dong Jiang, Ran Peng, Yanxing Han, Jie Fu, Hang Yu and Bao‐Ying Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and Pain.

In The Last Decade

Tianle Gao

35 papers receiving 773 citations

Hit Papers

Oral berberine improves b... 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
Tianle Gao 276 258 211 183 101 36 781
Chengyu Yin 234 0.8× 375 1.5× 100 0.5× 100 0.5× 56 0.6× 28 832
Ana Carolina Rossaneis 176 0.6× 240 0.9× 79 0.4× 120 0.7× 94 0.9× 29 848
Gyu Hwan Park 334 1.2× 178 0.7× 115 0.5× 107 0.6× 57 0.6× 39 821
Jalal Zaringhalam 174 0.6× 313 1.2× 108 0.5× 153 0.8× 162 1.6× 64 881
Nemat Khan 237 0.9× 207 0.8× 92 0.4× 86 0.5× 140 1.4× 30 761
Maíra Cola 303 1.1× 127 0.5× 163 0.8× 125 0.7× 55 0.5× 22 902
Milind M. Muley 289 1.0× 334 1.3× 144 0.7× 72 0.4× 196 1.9× 17 871
Ning Zhang 315 1.1× 276 1.1× 87 0.4× 56 0.3× 108 1.1× 39 822
Shijun Xu 290 1.1× 180 0.7× 100 0.5× 83 0.5× 110 1.1× 51 858
Concetta Dagostino 184 0.7× 383 1.5× 111 0.5× 78 0.4× 137 1.4× 19 736

Countries citing papers authored by Tianle Gao

Since Specialization
Citations

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

Fields of papers citing papers by Tianle Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianle Gao

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