Wendy Wu

2.6k citations
54 papers · 1.8k · h-index 24

Impact in

Papers in

Wendy Wu

50 papers receiving 1.7k citations

Peers

Wendy Wu
Comparison fields: 5 of 150
  • Cellular and Molecular Neuroscience 593
  • Cardiology and Cardiovascular Medicine 625
  • Behavioral Neuroscience 50
  • Cognitive Neuroscience 254
  • Molecular Biology 743
Replace Robert Alexander with:
Robert Alexander United States
Ming H. Hsieh Taiwan
Susan J. Ward United States
Li Cui China
Mario Marchi Italy
Yayun Wang China
Maria Proto Italy
Hyun Joon Kim South Korea
Xiaogang Chen China
Christian Gilles Belgium
Wendy Wu relative to Robert Alexander United States Robert Alexander's profile →
Citations per field
00.5×5.3×
Robert Alexander · 1×
Citations per year

Countries citing papers authored by Wendy Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011149
2 2002141
3 2003136
4 2017134
5 2017133
6 2018114
7 201488
8 200476
9 201875
10 201767
11 202058
12 200454
13 201142
14 200842
15 201632
16 201131
17 201528
18 201628
19 202327
20 200926

About Wendy Wu

Wendy Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Genetics and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Ion channel regulation and function (16 papers), Neuroscience and Neuropharmacology Research (11 papers), Cardiac pacing and defibrillation studies (5 papers), Receptor Mechanisms and Signaling (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (593 citations), Cardiology and Cardiovascular Medicine (625 citations), Behavioral Neuroscience (50 citations), Cognitive Neuroscience (254 citations) and Molecular Biology (743 citations). Wendy Wu has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include John F. Disterhoft, David G. Strauss, M. Matthew Oh, Samuel Kai Wah Chu, Evgeny A. Sametsky, Jiansong Sheng, P. Tran, Zhihua Li, Thomas Colatsky and Sara Dutta. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Clinical Pharmacology & Therapeutics, PLoS ONE and Frontiers in Physiology.

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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