Yue Jin

70 total papers · 526 total citations
29 papers, 339 citations indexed

About

Yue Jin is a scholar working on Plant Science, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yue Jin has authored 29 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yue Jin's work include Cancer-related molecular mechanisms research (2 papers), Traditional Chinese Medicine Studies (2 papers) and Cultural Heritage Materials Analysis (2 papers). Yue Jin is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Traditional Chinese Medicine Studies (2 papers) and Cultural Heritage Materials Analysis (2 papers). Yue Jin collaborates with scholars based in China, United States and United Kingdom. Yue Jin's co-authors include Ertao Wang, Nan Yu, Liying Lan, Dong Wang, Jun Yang, Dong Li, Zhifang Wang, Bo Zhang, Yu Liu and Shen Sun and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Yue Jin

27 papers receiving 334 citations

Hit Papers

Mechanisms underlying leg... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yue Jin 168 37 36 36 30 29 339
Yigong Zhang 85 0.5× 10 0.3× 59 1.6× 71 2.0× 13 0.4× 40 314
Marius Placzek 41 0.2× 6 0.2× 27 0.8× 14 0.4× 23 0.8× 19 335
Maheswaran Rohan 100 0.6× 18 0.5× 49 1.4× 26 0.7× 8 0.3× 30 358
Zeyan Wu 91 0.5× 8 0.2× 36 1.0× 9 0.3× 46 1.5× 34 355
Huan Liu 119 0.7× 8 0.2× 97 2.7× 66 1.8× 9 0.3× 27 390
William J. Garcia 96 0.6× 7 0.2× 21 0.6× 16 0.4× 9 0.3× 29 369
Yang Zhang 114 0.7× 12 0.3× 25 0.7× 11 0.3× 12 0.4× 45 303
Xiaoming Xu 218 1.3× 15 0.4× 76 2.1× 26 0.7× 23 0.8× 32 391
Xuelu Liu 57 0.3× 12 0.3× 41 1.1× 9 0.3× 44 1.5× 41 316
Jin Chen 86 0.5× 16 0.4× 44 1.2× 99 2.8× 11 0.4× 20 331

Countries citing papers authored by Yue Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yue Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Jin

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