Jennifer Wu

1.5k total citations
22 papers, 913 citations indexed

About

Jennifer Wu is a scholar working on Cognitive Neuroscience, Neurology and Epidemiology. According to data from OpenAlex, Jennifer Wu has authored 22 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Jennifer Wu's work include EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (5 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Jennifer Wu is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (5 papers) and Transcranial Magnetic Stimulation Studies (4 papers). Jennifer Wu collaborates with scholars based in United States, Netherlands and Germany. Jennifer Wu's co-authors include Steven C. Cramer, Ramesh Srinivasan, Erin Burke Quinlan, Cameron C. McIntyre, Jay L. Alberts, Angela M. Noecker, Jason Ho, Jerrold L. Vitek, Claudia Voelcker‐Rehage and Vu Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Jennifer Wu

20 papers receiving 907 citations

Peers

Jennifer Wu
Comparison fields: 5 of 72
  • Cognitive Neuroscience 506
  • Neurology 321
  • Cellular and Molecular Neuroscience 229
  • Neurology 200
  • Rehabilitation 135
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Yun Dong United States
Nada Yousif United Kingdom
Delaina Walker-Batson United States
Marianna Cavinato Italy
Peter Grieshofer Austria
Robert Gramer Canada
Jessica M. Cassidy United States
Sarah Pirio Richardson United States
Zhongfei Bai China
Katlyn E. Brown Canada
Yun Dong United States View profile →
Citations per field, relative to Jennifer Wu
Jennifer Wu · 1×
Citations per year, relative to Jennifer Wu
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Countries citing papers authored by Jennifer Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Wu. A scholar is included among the top collaborators of Jennifer Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Wu. Jennifer Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 6
4 3
5 1
6 85
7 5
8 42
9 43
10 16
11 1
12 13
13 89
14 178
15 13
16 114
17 19
18 183
19 17
20 79

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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