Ting Dai

40 total papers · 1.0k total citations
31 papers, 777 citations indexed

About

Ting Dai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ting Dai has authored 31 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Ting Dai's work include Cancer-related molecular mechanisms research (6 papers), Nerve injury and regeneration (4 papers) and interferon and immune responses (4 papers). Ting Dai is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Nerve injury and regeneration (4 papers) and interferon and immune responses (4 papers). Ting Dai collaborates with scholars based in China, United States and Japan. Ting Dai's co-authors include Xiaohui Zhao, Xiang Zhou, Chanjuan Wang, Libing Song, Jueheng Wu, Mengfeng Li, Jun Li, Shangya Chen, Xiaoying Sun and Yaqiong Zhou and has published in prestigious journals such as Advanced Functional Materials, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Ting Dai

28 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Ting Dai 421 237 235 109 95 31 777
Shengping Yu 442 1.0× 255 1.1× 202 0.9× 152 1.4× 90 0.9× 45 875
Shucai Yang 505 1.2× 314 1.3× 229 1.0× 152 1.4× 95 1.0× 23 787
Weihong Cao 394 0.9× 241 1.0× 282 1.2× 161 1.5× 78 0.8× 28 737
Wang Ling 471 1.1× 169 0.7× 267 1.1× 163 1.5× 62 0.7× 32 798
Chuanbing Zang 625 1.5× 233 1.0× 248 1.1× 87 0.8× 46 0.5× 31 903
Minhao Yu 458 1.1× 295 1.2× 224 1.0× 110 1.0× 65 0.7× 39 767
Monish Ram Makena 561 1.3× 196 0.8× 294 1.3× 86 0.8× 63 0.7× 26 834
Minna Luo 463 1.1× 231 1.0× 312 1.3× 86 0.8× 67 0.7× 28 717
Steven T. Sizemore 580 1.4× 187 0.8× 300 1.3× 76 0.7× 80 0.8× 33 833
Lu Yue 626 1.5× 235 1.0× 226 1.0× 71 0.7× 117 1.2× 34 861

Countries citing papers authored by Ting Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Dai. A scholar is included among the top collaborators of Ting Dai 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 Ting Dai. Ting Dai 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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2026