Xiaodan Wang

936 citations
32 papers · 714 · h-index 14

Impact in

Papers in

Xiaodan Wang

31 papers receiving 700 citations

Peers

Xiaodan Wang
Comparison fields: 5 of 82
  • Biological Psychiatry 62
  • Developmental Neuroscience 56
  • Cellular and Molecular Neuroscience 244
  • Neurology 98
  • Behavioral Neuroscience 35
Replace Margaret Sutherland with:
Margaret Sutherland United States
Paula A. Pousinha France
Britta Schürmann Germany
Lena Wischhof Germany
Camille Simard Canada
Ljubisav Rakić Serbia
Desirée Loreth Germany
Mariana Temido‐Ferreira Portugal
Mohammed E. Choudhury Japan
Mihaela Stavarache United States
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Citations per field
00.5×1.5×1.8×
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 2013133
2 2005129
3 200464
4 201548
5 200742
6 200540
7 200828
8 201228
9 201526
10 201220
11 201519
12 201019
13 201518
14 201213
15 202312
16 202210
17 20139
18 20197
19 20137
20 20236

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 714 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Tryptophan and brain disorders (5 papers), Retinal Development and Disorders (5 papers), Nerve injury and regeneration (3 papers), Stress Responses and Cortisol (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Biological Psychiatry (62 citations), Developmental Neuroscience (56 citations), Cellular and Molecular Neuroscience (244 citations), Neurology (98 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, Daniel L. Mueller, Lokesh A. Kalekar, Stephen C. Jameson, Gretta L. Stritesky and Yan Xing. 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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