Thomas D. Wu

17.4k citations
58 papers · 7.5k · 3 hit papers · h-index 33

Impact in

  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

    • RNA and protein synthesis mechanisms 9
    • Genomics and Phylogenetic Studies 7
    • Protein Structure and Dynamics 5
    • Machine Learning in Bioinformatics 4
    • Genomics and Chromatin Dynamics 4
    • Biomedical Text Mining and Ontologies 4
    • Cryptography and Data Security 3

Thomas D. Wu

55 papers receiving 7.2k citations

Thomas D. Wu's Hit Papers

Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses 2022 · 232 citations
2320+6+13Years since publication50010001.5k2.0k

Peers

Thomas D. Wu
Comparison fields: 5 of 161
  • Genetics 1.4k
  • Cancer Research 1.4k
  • Molecular Biology 3.5k
  • Virology 222
  • Toxicology 142
Replace Robert C. Armstrong with:
Robert C. Armstrong United States
Brent Cochran United States
William C. Reinhold United States
David A. Guertin United States
Krister Wennerberg Finland
Mauno Vihinen Finland
Scott A. Armstrong United States
Vishwanath R. Iyer United States
Cheng Li China
Roderick L. Beijersbergen Netherlands
Thomas D. Wu relative to Robert C. Armstrong United States Robert C. Armstrong's profile →
Citations per field
00.5×4.2×
Robert C. Armstrong · 1×
Citations per year

Countries citing papers authored by Thomas D. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis
Hit paper breakdown →
20062418
2
Fast and SNP-tolerant detection of complex variants and splicing in short reads
Hit paper breakdown →
20101413
3
The Secure Remote Password Protocol.
1998332
4 2016276
5
Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses
Hit paper breakdown →
2022232
6 2003202
7 1998188
8 2009185
9 1998148
10 2004141
11 2011128
12 2008122
13 2001106
14 2014102
15 201699
16 200392
17 199982
18 201676
19 200273
20 200572

About Thomas D. Wu

Thomas D. Wu is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Immunology and Cell Biology, having authored 58 papers that have together received 7.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), Immune Cell Function and Interaction (4 papers), Genomics and Chromatin Dynamics (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (1.4k citations), Molecular Biology (3.5k citations), Virology (222 citations) and Toxicology (142 citations). Thomas D. Wu has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Şerban Nacu, Zora Modrušan, P. Mickey Williams, Robert Soriano, Heidi Phillips, Ruihuan Chen, Liliana Soroceanu, Howard Colman, Anjan Misra and Burt G. Feuerstein. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, PLoS ONE, Algorithms for Molecular Biology and BMC Medical Genomics.

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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