Tong Wu

1.4k citations
48 papers · 994 indexed · h-index 15
Topics
Cardiac electrophysiology and arrhythmias (8 papers)Ion channel regulation and function (8 papers)Cancer Immunotherapy and Biomarkers (5 papers)

In The Last Decade

Tong Wu

43 papers receiving 966 citations

Peers

Tong Wu
Comparison fields: 5 of 103
  • Molecular Biology 478
  • Immunology 322
  • Electrical and Electronic Engineering 110
  • Cardiology and Cardiovascular Medicine 99
  • Cellular and Molecular Neuroscience 94
Replace Fatima El‐Assaad with:
Fatima El‐Assaad Australia
Xiangjun Chen China
Estefania Mulvihill Switzerland
David F. Gray Australia
Michael Kleinberg United States
Panagiotis I. Koukos Netherlands
Michael G. Klein United States
Alexander F. Kintzer United States
Kristen M. Varney United States
Chi‐Fon Chang Taiwan
Tong Wu relative to Fatima El‐Assaad Australia Fatima El‐Assaad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Wu. A scholar is included among the top collaborators of Tong 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 Tong Wu. Tong 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 9
2 3
3 3
4 1
5 1
6 0
7 0
8 1
9 5
10 54
11 14
12
Circular RNA circ_0007142 Facilitates Colorectal Cancer Progression by Modulating CDC25A Expression via miR-122-5p
3
13 1
14 35
15 16
16
[Interaction between folate deficiency and aberrant expression related to fragile histidine triad gene in the progression of cervical cancerization].
2
17
Establishment of reverse genetics of H3N2 subtype swine influenza virus.
1
18 6
19
System of teaching quality analyzing and evaluating based on data warehouse
2
20
Is Complexity Randomness
1

About Tong Wu

Tong Wu is a scholar working on Virology, Biological Psychiatry and Cancer Research, having authored 48 papers that have together received 994 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (322 citations), Molecular Biology (478 citations) and Microbiology (37 citations). Tong Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Risini D. Weeratna, Laurie Love-Homan, Arthur Μ. Krieg, Heather L. Davis, Lin Yang, Dan Short, Ae‐Kyung Yi, Susan M. Efler, Zhangqiang Li and Xueqin Jin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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