Xingchun Tang
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Plant Science
- Biological Psychiatry top 5%
- Co-authors
- Peter W. KalivasKrista McFarlandDavid L. BakerHui ShenRUSSELL W. LAKEShigenobu TodaGang HuYonatan M. Kupchik
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Plant Molecular Biology Research (4 papers)Neurotransmitter Receptor Influence on Behavior (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xingchun Tang
14 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 747
- Molecular Biology 499
- Cognitive Neuroscience 187
- Plant Science 95
- Biological Psychiatry 80
Countries citing papers authored by Xingchun Tang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 53 | |
| 5 | 46 | |
| 6 | 4 | |
| 7 | 68 | |
| 8 | 29 | |
| 9 | 112 | |
| 10 | 13 | |
| 11 | 119 | |
| 12 | 52 | |
| 13 | Neuroadaptations in cystine-glutamate exchange underlie cocaine relapsebreakdown → | 594 |
| 14 | 48 | |
| 15 | Alterations of amino acid levels from striatum, hippocampus, and cerebral cortex induced by global cerebral ischemia in gerbil. | 19 |
About Xingchun Tang
Xingchun Tang is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Developmental Neuroscience, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Plant Molecular Biology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (747 citations), Biological Psychiatry (80 citations) and Cognitive Neuroscience (187 citations). Xingchun Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peter W. Kalivas, Krista McFarland, David L. Baker, Hui Shen, RUSSELL W. LAKE, Shigenobu Toda, Gang Hu, Yonatan M. Kupchik, Khaled Moussawi and Hai Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.
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.