Jing Tan

70 total papers · 1.3k total citations
49 papers, 1.2k citations indexed

About

Jing Tan is a scholar working on Organic Chemistry, Molecular Biology and Insect Science. According to data from OpenAlex, Jing Tan has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Organic Chemistry, 16 papers in Molecular Biology and 11 papers in Insect Science. Recurrent topics in Jing Tan's work include Sulfur-Based Synthesis Techniques (13 papers), Synthesis of heterocyclic compounds (12 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Jing Tan is often cited by papers focused on Sulfur-Based Synthesis Techniques (13 papers), Synthesis of heterocyclic compounds (12 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Jing Tan collaborates with scholars based in China, France and Australia. Jing Tan's co-authors include Qun Liu, Xianxiu Xu, Yifei Li, Lingjuan Zhang, Guo‐Jun Deng, Huawen Huang, Hongliang Li, Penghui Ni, Fan Wu and Fuliang Hu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jing Tan

47 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Jing Tan	797	244	158	106	89	49	1.2k
Arlette Longeon	313 0.4×	311 1.3×	110 0.7×	98 0.9×	37 0.4×	29	931
M. J. Mitchell	261 0.3×	216 0.9×	200 1.3×	39 0.4×	179 2.0×	49	933
T. Norin	365 0.5×	427 1.8×	115 0.7×	50 0.5×	34 0.4×	70	1.2k
Stephen W. Ayer	233 0.3×	439 1.8×	73 0.5×	85 0.8×	123 1.4×	33	970
Tien L. Huang	453 0.6×	816 3.3×	88 0.6×	62 0.6×	127 1.4×	46	1.5k
Jürgen Scherkenbeck	270 0.3×	433 1.8×	273 1.7×	111 1.0×	159 1.8×	62	968
Jean‐Claude Braekman	314 0.4×	261 1.1×	290 1.8×	153 1.4×	42 0.5×	42	986
Yoko Naya	227 0.3×	278 1.1×	137 0.9×	82 0.8×	261 2.9×	53	978
David Rennison	731 0.9×	488 2.0×	34 0.2×	19 0.2×	95 1.1×	50	1.3k
M. L. EDWARDS	600 0.8×	468 1.9×	30 0.2×	37 0.3×	22 0.2×	48	1.1k

Countries citing papers authored by Jing Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jing Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Tan

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