Jian Ji

72 total papers · 1.4k total citations
61 papers, 915 citations indexed

About

Jian Ji is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Jian Ji has authored 61 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 24 papers in Molecular Biology and 14 papers in Food Science. Recurrent topics in Jian Ji's work include Mycotoxins in Agriculture and Food (34 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Jian Ji is often cited by papers focused on Mycotoxins in Agriculture and Food (34 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Jian Ji collaborates with scholars based in China, United States and Slovakia. Jian Ji's co-authors include Yinzhi Zhang, Jiadi Sun, Xiulan Sun, Xiulan Sun, Yongli Ye, Fuwei Pi, Xingxing Yang, Jia-Sheng Wang, Xiulan Sun and Fangchao Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Jian Ji

58 papers receiving 904 citations

Author Peers

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

Author Last Decade Papers Cites
Jian Ji 457 333 144 113 109 61 915
Ke Li 457 1.0× 420 1.3× 170 1.2× 79 0.7× 83 0.8× 61 1.1k
Sherif R. Mohamed 406 0.9× 258 0.8× 240 1.7× 61 0.5× 57 0.5× 42 917
Yanxin Zhang 479 1.0× 510 1.5× 106 0.7× 109 1.0× 114 1.0× 52 1.2k
Zhiyong Zhao 682 1.5× 421 1.3× 269 1.9× 260 2.3× 71 0.7× 57 1.2k
Elisa Brasili 346 0.8× 405 1.2× 194 1.3× 96 0.8× 87 0.8× 42 998
Kausar M. Ansari 302 0.7× 437 1.3× 73 0.5× 93 0.8× 89 0.8× 64 1.2k
Xiulan Sun 288 0.6× 214 0.6× 110 0.8× 130 1.2× 214 2.0× 42 849
Amal S. Hathout 530 1.2× 183 0.5× 333 2.3× 47 0.4× 86 0.8× 42 1.1k
Enjie Diao 535 1.2× 215 0.6× 236 1.6× 116 1.0× 44 0.4× 60 985
Jaqueline Garda‐Buffon 626 1.4× 220 0.7× 300 2.1× 104 0.9× 50 0.5× 65 1.1k

Countries citing papers authored by Jian Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jian Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Ji

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