Xingchun Tang

20 total papers · 1.4k total citations
15 papers, 1.2k citations indexed

About

Xingchun Tang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Xingchun Tang has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Plant Science. Recurrent topics in Xingchun Tang's work include Neuroscience and Neuropharmacology Research (6 papers), Plant Molecular Biology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Xingchun Tang is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Plant Molecular Biology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Xingchun Tang collaborates with scholars based in China, United States and Australia. Xingchun Tang's co-authors include Peter W. Kalivas, Krista McFarland, RUSSELL W. LAKE, Shigenobu Toda, Hui Shen, David L. Baker, Gang Hu, Yonatan M. Kupchik, Khaled Moussawi and Hai Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Xingchun Tang

14 papers receiving 1.2k citations

Hit Papers

Neuroadaptations in cysti... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Xingchun Tang 746 499 187 94 82 15 1.2k
Tiffany A. Mathews 773 1.0× 375 0.8× 204 1.1× 77 0.8× 76 0.9× 32 1.3k
Gabriel M. Belfort 1.0k 1.4× 431 0.9× 359 1.9× 88 0.9× 80 1.0× 14 1.5k
Thomas P. Jensen 877 1.2× 458 0.9× 323 1.7× 44 0.5× 32 0.4× 22 1.3k
Jorge E. Quintero 790 1.1× 295 0.6× 251 1.3× 87 0.9× 25 0.3× 50 1.4k
Luisa Speranza 483 0.6× 388 0.8× 177 0.9× 26 0.3× 157 1.9× 22 1.3k
Tomoyuki Kanda 472 0.6× 418 0.8× 78 0.4× 30 0.3× 85 1.0× 34 1.3k
Kristen A. Stout 596 0.8× 454 0.9× 82 0.4× 21 0.2× 54 0.7× 23 1.2k
Enhui Pan 870 1.2× 476 1.0× 292 1.6× 30 0.3× 24 0.3× 16 1.3k
Timur Tsintsadze 757 1.0× 416 0.8× 525 2.8× 67 0.7× 29 0.4× 26 1.2k
Gill Anlezark 633 0.8× 360 0.7× 163 0.9× 34 0.4× 17 0.2× 29 1.2k

Countries citing papers authored by Xingchun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xingchun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingchun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingchun Tang. A scholar is included among the top collaborators of Xingchun Tang 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 Xingchun Tang. Xingchun Tang 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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2026