Jin Zeng

18 total papers · 430 total citations
10 papers, 151 citations indexed

About

Jin Zeng is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Jin Zeng has authored 10 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Organic Chemistry and 2 papers in Pharmacology. Recurrent topics in Jin Zeng's work include PI3K/AKT/mTOR signaling in cancer (3 papers), Biochemical and Molecular Research (2 papers) and Bone Metabolism and Diseases (2 papers). Jin Zeng is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), Biochemical and Molecular Research (2 papers) and Bone Metabolism and Diseases (2 papers). Jin Zeng collaborates with scholars based in United States, China and United Kingdom. Jin Zeng's co-authors include Yu Ru, Robert E. Lee Trout, Hong Lin, Robert W. Marquis, Thaddeus A. Tomaszek, Juan I. Luengo, Daniel F. Veber, Shao Hua Chen, Baoguang Zhao and Rosanna Tedesco and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Ethnopharmacology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Jin Zeng

10 papers receiving 149 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Zeng 108 40 31 26 13 10 151
Nicolas Cauquil 167 1.5× 23 0.6× 34 1.1× 22 0.8× 7 0.5× 7 201
Jimmy P. Xu 121 1.1× 25 0.6× 51 1.6× 32 1.2× 5 0.4× 13 251
Susan L. Strum 95 0.9× 42 1.1× 30 1.0× 33 1.3× 21 1.6× 6 220
Xiaojing Lan 166 1.5× 39 1.0× 83 2.7× 32 1.2× 14 1.1× 10 230
Kevin Lau 189 1.8× 21 0.5× 30 1.0× 32 1.2× 6 0.5× 11 249
J. ten Broeke 96 0.9× 17 0.4× 40 1.3× 45 1.7× 9 0.7× 10 161
Gillian M. Lamont 151 1.4× 30 0.8× 58 1.9× 75 2.9× 7 0.5× 15 237
Ryan K. Muir 125 1.2× 36 0.9× 29 0.9× 27 1.0× 15 1.2× 10 237
Mert B. Ozturk 206 1.9× 24 0.6× 27 0.9× 12 0.5× 7 0.5× 10 282
William J. McClellan 98 0.9× 54 1.4× 40 1.3× 86 3.3× 12 0.9× 10 248

Countries citing papers authored by Jin Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zeng

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