Xiaodan Wang

945 citations
32 papers · 757 · h-index 14

Impact in

Papers in

Xiaodan Wang

31 papers receiving 740 citations

Peers

Xiaodan Wang
Comparison fields: 5 of 77
  • Biological Psychiatry 67
  • Cellular and Molecular Neuroscience 231
  • Developmental Neuroscience 49
  • Neurology 95
  • Behavioral Neuroscience 35
Replace Margaret Sutherland with:
Margaret Sutherland United States
Paula A. Pousinha France
Camille Simard Canada
Joshua T. Dearborn United States
Agnieszka Ciesielska Poland
Lena Wischhof Germany
Jonathan C. Bean United States
Desirée Loreth Germany
Vincent Damian United States
Pierre Cordeau Canada
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Citations per field
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Margaret Sutherland · 1×
Citations per year

Countries citing papers authored by Xiaodan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodan Wang Line = papers co-authored together Xiaodan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013139
2 2005134
3 200471
4 201553
5 200742
6 200540
7 200830
8 201530
9 201229
10 201221
11 201020
12 201520
13 201520
14 202314
15 201213
16 202211
17 201310
18 20239
19 20197
20 20137

About Xiaodan Wang

Xiaodan Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Biological Psychiatry and Cognitive Neuroscience, having authored 32 papers that have together received 757 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Retinal Development and Disorders (5 papers), Tryptophan and brain disorders (5 papers), Axon Guidance and Neuronal Signaling (3 papers), Autism Spectrum Disorder Research (3 papers), Stress Responses and Cortisol (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (67 citations), Cellular and Molecular Neuroscience (231 citations), Developmental Neuroscience (49 citations), Neurology (95 citations) and Behavioral Neuroscience (35 citations). Xiaodan Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Alfred I. Geller, Lingxin Kong, Mei Sun, Qingsheng Gao, Xiu-Gui Lu, Yan Xing, Lokesh A. Kalekar, Robert Schwarcz, Gretta L. Stritesky and Jami R. Erickson. Their work appears in journals such as Brain Research, Neurological Sciences, Hippocampus, Journal of Neurochemistry and Proceedings of the National Academy of Sciences.

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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