Jin Zhai

79 total papers · 1.1k total citations
57 papers, 849 citations indexed

About

Jin Zhai is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jin Zhai has authored 57 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health, Toxicology and Mutagenesis, 17 papers in Molecular Biology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jin Zhai's work include Neuroscience and Neuropharmacology Research (13 papers), Effects and risks of endocrine disrupting chemicals (12 papers) and Ion channel regulation and function (10 papers). Jin Zhai is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Effects and risks of endocrine disrupting chemicals (12 papers) and Ion channel regulation and function (10 papers). Jin Zhai collaborates with scholars based in China, United States and United Kingdom. Jin Zhai's co-authors include Jing Tang, Eric S. Nisenbaum, Changchun Xiao, Tao Ding, Mark Muhlhauser, Charles R. Yang, Carolyn George, Michael P. Johnson, Yan Zhai and Chaoying Li and has published in prestigious journals such as The Science of The Total Environment, Brain Research and Journal of Controlled Release.

In The Last Decade

Jin Zhai

56 papers receiving 839 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 Zhai 320 256 218 79 54 57 849
Markus Storvik 112 0.3× 311 1.2× 308 1.4× 89 1.1× 20 0.4× 63 1.0k
Ya Wang 79 0.2× 76 0.3× 268 1.2× 82 1.0× 36 0.7× 68 803
Kyoung‐Youl Lee 219 0.7× 86 0.3× 196 0.9× 87 1.1× 7 0.1× 64 820
Die Hu 160 0.5× 89 0.3× 383 1.8× 79 1.0× 67 1.2× 61 1.0k
R. Mankes 108 0.3× 276 1.1× 181 0.8× 50 0.6× 19 0.4× 36 814
Dana Shuey 203 0.6× 178 0.7× 299 1.4× 42 0.5× 6 0.1× 30 989
László Nagymajtényi 421 1.3× 108 0.4× 66 0.3× 53 0.7× 73 1.4× 64 901
José Salas-Pacheco 81 0.3× 74 0.3× 272 1.2× 72 0.9× 14 0.3× 78 1.0k
Pouria Heydarpour 306 1.0× 58 0.2× 118 0.5× 60 0.8× 26 0.5× 19 1.0k
Yuemei Feng 160 0.5× 56 0.2× 214 1.0× 63 0.8× 33 0.6× 46 889

Countries citing papers authored by Jin Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhai

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