Tingting Gai

33 total papers · 737 total citations
25 papers, 387 citations indexed

About

Tingting Gai is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Tingting Gai has authored 25 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomaterials, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Tingting Gai's work include Neurobiology and Insect Physiology Research (9 papers), Silk-based biomaterials and applications (8 papers) and Invertebrate Immune Response Mechanisms (5 papers). Tingting Gai is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Silk-based biomaterials and applications (8 papers) and Invertebrate Immune Response Mechanisms (5 papers). Tingting Gai collaborates with scholars based in China, Australia and United Kingdom. Tingting Gai's co-authors include Fangyin Dai, Xiaoling Tong, Cheng Lu, Chunlin Li, Hai Hu, Xiong Gao, Minjin Han, Liang Qiao, Zhonghuai Xiang and Jiacan Su and has published in prestigious journals such as Scientific Reports, Genetics and Chemical Engineering Journal.

In The Last Decade

Tingting Gai

23 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
Tingting Gai 142 102 95 84 77 25 387
Barbara Kłudkiewicz 176 1.2× 133 1.3× 78 0.8× 160 1.9× 117 1.5× 25 361
Zdeňka Syrová 63 0.4× 47 0.5× 142 1.5× 68 0.8× 88 1.1× 13 402
Hongsheng Song 120 0.8× 117 1.1× 40 0.4× 31 0.4× 29 0.4× 27 350
Rensuke Kanekatsu 128 0.9× 166 1.6× 105 1.1× 70 0.8× 39 0.5× 36 392
Yongjian Lin 139 1.0× 36 0.4× 43 0.5× 40 0.5× 27 0.4× 23 376
Changwei Zhou 103 0.7× 60 0.6× 79 0.8× 84 1.0× 26 0.3× 22 385
Bo Chu 152 1.1× 101 1.0× 64 0.7× 20 0.2× 72 0.9× 31 422
Wenbo Hu 147 1.0× 155 1.5× 85 0.9× 300 3.6× 49 0.6× 24 406
Adrian Boey 232 1.6× 132 1.3× 27 0.3× 25 0.3× 50 0.6× 10 425
Daisuke Yoshino 169 1.2× 33 0.3× 22 0.2× 15 0.2× 45 0.6× 36 410

Countries citing papers authored by Tingting Gai

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Gai

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