T.‐C. Wu

18.0k total citations · 3 hit papers
275 papers, 14.2k citations indexed

About

T.‐C. Wu is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, T.‐C. Wu has authored 275 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Immunology, 106 papers in Epidemiology and 83 papers in Molecular Biology. Recurrent topics in T.‐C. Wu's work include Immunotherapy and Immune Responses (171 papers), Cervical Cancer and HPV Research (78 papers) and Hepatitis B Virus Studies (43 papers). T.‐C. Wu is often cited by papers focused on Immunotherapy and Immune Responses (171 papers), Cervical Cancer and HPV Research (78 papers) and Hepatitis B Virus Studies (43 papers). T.‐C. Wu collaborates with scholars based in United States, Taiwan and South Korea. T.‐C. Wu's co-authors include Chien‐Fu Hung, Drew M. Pardoll, Richard B.S. Roden, Liangmei He, Morris Ling, Shiwen Peng, Wen‐Fang Cheng, Archana Monie, Sara I. Pai and J. Thomas August and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

T.‐C. Wu

269 papers receiving 13.8k citations

Hit Papers

Treatment of established tumors with a novel vaccine that... 1996 2026 2006 2016 1996 2021 2022 250 500 750

Peers

T.‐C. Wu
Comparison fields: 5 of 156
  • Immunology 8.2k
  • Molecular Biology 4.8k
  • Epidemiology 4.7k
  • Oncology 3.4k
  • Genetics 1.7k
Replace Chien‐Fu Hung with:
Chien‐Fu Hung United States
W. Martin Kast United States
Jan W. Drijfhout Netherlands
Richard B.S. Roden United States
Joseph A. Trapani Australia
Angus Dalgleish United Kingdom
Stefan Stevanović Germany
Rienk Offringa Netherlands
Matthew L. Albert France
Ian H. Frazer Australia
Chien‐Fu Hung United States View profile →
Citations per field, relative to T.‐C. Wu
T.‐C. Wu · 1×
Citations per year, relative to T.‐C. Wu
T.‐C. Wu · 1×

Countries citing papers authored by T.‐C. Wu

Since Specialization
Citations

This map shows the geographic impact of T.‐C. 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 T.‐C. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.‐C. Wu more than expected).

Fields of papers citing papers by T.‐C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.‐C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of T.‐C. Wu. A scholar is included among the top collaborators of T.‐C. 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 T.‐C. Wu. T.‐C. 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 5
2 5
3 0
4 12
5 16
6 22
7 72
8 52
9 66
10 50
11 48
12 91
13 63
14 134
15 21
16 1
17 97
18 71
19 61
20 24

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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