Xiaoping Wu

1.8k citations
41 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Xiaoping Wu

38 papers receiving 1.2k citations

Peers

Xiaoping Wu
Comparison fields: 5 of 85
  • Neurology 182
  • Developmental Neuroscience 84
  • Cellular and Molecular Neuroscience 244
  • Physiology 285
  • Molecular Biology 644
Replace Zhihua Qiu with:
Zhihua Qiu China
Haruhiko Sakamoto Japan
Paola Pichiule United States
Zhongji Liao United States
Julio C. Morote–Garcia Germany
Ranjana Poddar United States
Toshio Masuzawa Japan
José Carlos Rivera Canada
Moises Freitas‐Andrade Canada
Belinda Cairns United States
Xiaoping Wu relative to Zhihua Qiu China Zhihua Qiu's profile →
Citations per field
00.5×
Zhihua Qiu · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 2013104
3 200883
4 201374
5 200274
6 201974
7 201172
8 201366
9 201063
10 200659
11 201258
12 201138
13 201936
14 201434
15
ETB and epidermal growth factor receptor stimulation of wound closure in bovine corneal epithelial cells.
199532
16 201528
17 201226
18 201924
19 200221
20 201120

About Xiaoping Wu

Xiaoping Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Immunology and Oncology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (4 papers), Tuberous Sclerosis Complex Research (4 papers), Ion channel regulation and function (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), TGF-β signaling in diseases (3 papers), interferon and immune responses (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Neurology (182 citations), Developmental Neuroscience (84 citations), Cellular and Molecular Neuroscience (244 citations), Physiology (285 citations) and Molecular Biology (644 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, Charles B. Mikell, Shirley ShiDu Yan, Lan Guo, Heng Du, John Xi Chen, Nadejda M. Tsankova and Robert Goodman. Their work appears in journals such as Acta Neuropathologica Communications, Haematologica, Epilepsia, Journal of Biological Chemistry and Journal of 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.

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