Yan Tong

57 total papers · 958 total citations
16 papers, 716 citations indexed

About

Yan Tong is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Yan Tong has authored 16 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Plant Science. Recurrent topics in Yan Tong's work include Antibiotics Pharmacokinetics and Efficacy (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Yan Tong is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Yan Tong collaborates with scholars based in China, United States and New Zealand. Yan Tong's co-authors include Yiqing Yang, Yu Rao, Yue Wu, Ming He, Xiuyun Sun, Yu-Gang Song, Hongying Gao, Xinrong Zhang, Guoan Luo and Willy R. G. Baeyens and has published in prestigious journals such as Cell, Magnetic Resonance in Medicine and Analytica Chimica Acta.

In The Last Decade

Yan Tong

14 papers receiving 703 citations

Hit Papers

PROTACs: great opportunit... 2019 2026 2021 2023 2019 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yan Tong 498 199 139 99 58 16 716
Tomoko Niwa 351 0.7× 70 0.4× 194 1.4× 307 3.1× 23 0.4× 25 861
Jean‐Claude Jardillier 374 0.8× 214 1.1× 28 0.2× 33 0.3× 50 0.9× 29 669
Leanne Wybenga-Groot 515 1.0× 121 0.6× 22 0.2× 34 0.3× 28 0.5× 17 725
Yuki Ishii 522 1.0× 139 0.7× 67 0.5× 74 0.7× 62 1.1× 29 700
Hava Neumann 400 0.8× 102 0.5× 50 0.4× 96 1.0× 16 0.3× 22 761
Natalie O. Karpinich 599 1.2× 236 1.2× 27 0.2× 53 0.5× 22 0.4× 16 886
Stefan Loroch 371 0.7× 54 0.3× 51 0.4× 98 1.0× 42 0.7× 21 642
Brandon White 650 1.3× 113 0.6× 39 0.3× 20 0.2× 28 0.5× 18 789
Peter J. Halbrooks 325 0.7× 105 0.5× 25 0.2× 319 3.2× 10 0.2× 12 773
Bernhard C. Lechtenberg 548 1.1× 128 0.6× 12 0.1× 160 1.6× 31 0.5× 26 799

Countries citing papers authored by Yan Tong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tong

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