Ting Wu

3.4k citations
118 papers · 2.4k indexed · 1 hit paper · h-index 26
Topics
EEG and Brain-Computer Interfaces (16 papers)Functional Brain Connectivity Studies (14 papers)Gastric Cancer Management and Outcomes (9 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Ting Wu

111 papers receiving 2.4k citations

Hit Papers

Deletion of aquaporin-4 in APP/PS1 mice exacerbates brain...20152026201820222015100200300

Peers

Ting Wu
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 552
  • Physiology 453
  • Psychiatry and Mental health 342
  • Cognitive Neuroscience 341
  • Molecular Biology 334
Replace Charles Murchison with:
Charles Murchison United States
Chunzhi Tang China
Michael Karl Boettger Germany
Heike Wersching Germany
Xia Zhang China
Paolo Bosco Italy
Nebojša Nick Knežević United States
Thomas Duning Germany
Tong Zhang China
Toni T. Seppälä Finland
Ting Wu relative to Charles Murchison United States Charles Murchison's profile →
Citations per field
00.5×1.6×
Charles Murchison · 1×
Citations per year

Countries citing papers authored by Ting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Wu. A scholar is included among the top collaborators of Ting 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 Ting Wu. Ting 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
#WorkIndexed citations
1 0
2 8
3 3
4 11
5 3
6 3
7 5
8 10
9 7
10 2
11 2
12 7
13 103
14 1
15
The effect of psychological status on postoperative nutrition, immune function and life quality in elderly patients with gastric cancer
1
16
Deletion of aquaporin-4 in APP/PS1 mice exacerbates brain Aβ accumulation and memory deficitsbreakdown →
373
17 4
18 14
19 41
20 45

About Ting Wu

Ting Wu is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Neurology, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Functional Brain Connectivity Studies (14 papers) and Gastric Cancer Management and Outcomes (9 papers). The work is most often cited by research in Neurology (308 citations), Biological Psychiatry (92 citations) and Cellular and Molecular Neuroscience (552 citations). Ting Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ming Xiao, Charles Marshall, Junying Gao, Gang Hu, Yali Chen, Zhiqiang Xu, Na Xiao, Zhiyou Cai, Huang Huang and Yanli Zhang. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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