Shasha Wu

2.1k citations
98 papers · 1.2k · h-index 19

Impact in

    • Epilepsy research and treatment
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Neurological disorders and treatments
    • Autoimmune Neurological Disorders and Treatments

Papers in

Shasha Wu

91 papers receiving 1.1k citations

Peers

Shasha Wu
Comparison fields: 5 of 130
  • Psychiatry and Mental health 360
  • Neurology 325
  • Cellular and Molecular Neuroscience 290
  • Cognitive Neuroscience 303
  • Sensory Systems 72
Replace Jinse Park with:
Jinse Park South Korea
J. van der Meer Netherlands
Lorenzo Priano Italy
Daniele Bruschetta Italy
Xiaoying Wu China
Dae‐Won Seo South Korea
Xinhua Wei China
Patricia Dugan United States
J. Currie Australia
P. Di Bella Italy
Shasha Wu relative to Jinse Park South Korea Jinse Park's profile →
Citations per field
00.5×2.8×
Jinse Park · 1×
Citations per year

Countries citing papers authored by Shasha Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021109
2 201873
3 201770
4 201756
5 201749
6 202243
7 200741
8 201437
9 202334
10 201529
11 201628
12 200627
13 201825
14 201924
15 201024
16 202024
17 200622
18 201821
19 202020
20 202218

About Shasha Wu

Shasha Wu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (30 papers), Neuroscience and Neuropharmacology Research (19 papers), EEG and Brain-Computer Interfaces (18 papers), Neurological disorders and treatments (7 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Neural dynamics and brain function (6 papers), Sleep and Wakefulness Research (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Psychiatry and Mental health (360 citations), Neurology (325 citations), Cellular and Molecular Neuroscience (290 citations), Cognitive Neuroscience (303 citations) and Sensory Systems (72 citations). Shasha Wu has collaborated with scholars based in United States, China and Cameroon. Frequent co-authors include Naoum P. Issa, James X. Tao, Sandra Rose, Peter C. Warnke, Vernon L. Towle, Bettsy Y. Recalde, Óscar H. Del Brutto, Robertino M. Mera, Aldo F. Costa and Péter Révész. Their work appears in journals such as Epilepsy & Behavior, Clinical Neurophysiology, Epilepsia, Journal of Clinical Neurophysiology and Journal of Neurology Neurosurgery & Psychiatry.

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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