Xiaoping Wu

1.7k citations
39 papers · 1.4k · h-index 20

Impact in

Papers in

    • Alzheimer's disease research and treatments 3
    • Tuberous Sclerosis Complex Research 3
    • Nitric Oxide and Endothelin Effects 2
    • Platelet Disorders and Treatments 4

Xiaoping Wu

38 papers receiving 1.4k citations

Peers

Xiaoping Wu
Comparison fields: 5 of 84
  • Neurology 138
  • Developmental Neuroscience 39
  • Physiology 257
  • Cellular and Molecular Neuroscience 162
  • Molecular Biology 461
Replace Qiwen Fan with:
Qiwen Fan Japan
Kai Jiao United States
Vineeta B. Tripathi United Kingdom
Hirofumi Miyazaki Japan
Isabella Fogh United Kingdom
June Goto United States
Mir Ahamed Hossain United States
Moises Freitas Andrade Canada
Luqing Zhang China
Caterina Garone Italy
Xiaoping Wu relative to Qiwen Fan Japan Qiwen Fan's profile →
Citations per field
00.5×2×4×5.3×
Qiwen Fan · 1×
Citations per year

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoping Wu, 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 Xiaoping Wu Line = papers co-authored together Xiaoping Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014144
2 2013110
3 200891
4 201982
5 200278
6 201378
7 201177
8 201372
9 201068
10 201259
11 200658
12 201445
13 201943
14 201141
15
ETB and epidermal growth factor receptor stimulation of wound closure in bovine corneal epithelial cells.
199533
16 201932
17 201529
18 200226
19 201225
20 201121

About Xiaoping Wu

Xiaoping Wu is a scholar working on Physiology, Hematology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Genetics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (5 papers), Platelet Disorders and Treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers), TGF-β signaling in diseases (3 papers), Tuberous Sclerosis Complex Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Neurology (138 citations), Developmental Neuroscience (39 citations), Physiology (257 citations), Cellular and Molecular Neuroscience (162 citations) and Molecular Biology (461 citations). Xiaoping Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Guy M. McKhann, Alexander A. Sosunov, James E. Goldman, Heng Du, Charles B. Mikell, Lan Guo, Shirley ShiDu Yan, John Xi Chen, Ye‐Guang Chen and Nadejda M. Tsankova. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Journal of Biological Chemistry, Acta Neuropathologica Communications and Epilepsia.

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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