Ping Wu

78 papers receiving 2.8k citations

Ping Wu's Hit Papers

A Screen of FDA-Approved Drugs for Inhibitors of Zika Virus Infection 2016 · 376 citations
3760+3+6Years since publication100200300

Peers

Ping Wu
Comparison fields: 5 of 117
  • Developmental Neuroscience 400
  • Genetics 307
  • Cellular and Molecular Neuroscience 470
  • Neurology 339
  • Infectious Diseases 412
Replace Farshid Noorbakhsh with:
Farshid Noorbakhsh Iran
Abdolmohamad Rostami United States
Bert A. ‘t Hart Netherlands
Carla V. Rothlin United States
Tommy Regen Germany
Alessandra Micera Italy
George Kassiotis United Kingdom
M L Shin United States
Nathalie Arbour Canada
Leila Chimelli Brazil
Ping Wu relative to Farshid Noorbakhsh Iran Farshid Noorbakhsh's profile →
Citations per field
00.5×2.6×
Farshid Noorbakhsh · 1×
Citations per year

Countries citing papers authored by Ping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Screen of FDA-Approved Drugs for Inhibitors of Zika Virus Infection
Hit paper breakdown →
2016376
2 2019211
3 2002173
4 2018127
5 1998114
6 2007109
7 201789
8 200683
9 200980
10 200476
11 201466
12 201165
13 200365
14 199763
15 200061
16 201657
17 201350
18 200245
19 200840
20 200939

About Ping Wu

Ping Wu is a scholar working on Molecular Biology, Developmental Neuroscience, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Neurology, having authored 79 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (18 papers), Pluripotent Stem Cells Research (12 papers), Mosquito-borne diseases and control (11 papers), Nerve injury and regeneration (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Viral Infections and Vectors (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). The work is most often cited by research in Developmental Neuroscience (400 citations), Genetics (307 citations), Cellular and Molecular Neuroscience (470 citations), Neurology (339 citations) and Infectious Diseases (412 citations). Ping Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Junling Gao, Yongjia Yu, Jason R. Thonhoff, Gwen V. Childs, Paivi M. Jordan, M. Ian Phillips, Richard E. Coggeshall, Erica L. McGrath, Tiffany Dunn and Geda Unabia. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, Brain Research, Proceedings of the National Academy of Sciences and Journal of Neurotrauma.

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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