Thomas D. Wu
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 10
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 5
- Genomics and Chromatin Dynamics 4
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Şerban NacuZora ModrušanP. Mickey WilliamsRobert SorianoHeidi PhillipsWilliam F. ForrestSamir KharbandaRuihuan Chen
- Journals
- Bioinformatics (3 papers)Journal of Computational Biology (3 papers)PLoS ONE (3 papers)Molecular Cancer Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Thomas D. Wu
55 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Genetics 1.5k
- Cancer Research 1.6k
- Virology 268
- Molecular Biology 3.7k
- Oncology 1.1k
Countries citing papers authored by Thomas D. Wu
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 41 | |
| 6 | 2011 | 55 | |
| 7 | 2011 | 35 | |
| 8 | 2011 | 38 | |
| 9 | 2009 | 177 | |
| 10 | 2008 | 69 | |
| 11 | 2006 | 61 | |
| 12 | 2003 | 89 | |
| 13 | 2000 | 41 | |
| 14 | Experimenting with Shared Generation of RSA Keys. | 1999 | 36 |
| 15 | The Secure Remote Password Protocol. | 1998 | 236 |
| 16 | 1996 | 7 | |
| 17 | Domain structure and the complexity of diagnostic problem solving | 1991 | 6 |
| 18 | Efficient diagnosis of multiple disorders based on a symptom clustering approach | 1990 | 11 |
| 19 | Probabilistic evaluation of candidate sets for multidisorder diagnosis | 1990 | 1 |
| 20 | Symptom Clustering and Syndromic Knowledge in Diagnostic Problem Solving | 1989 | 5 |
About Thomas D. Wu
Thomas D. Wu is a scholar working on Cancer Research, Molecular Biology, Virology, Cell Biology and Artificial Intelligence, having authored 57 papers that have together received 7.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Genomics and Phylogenetic Studies (10 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (5 papers), Algorithms and Data Compression (4 papers), Genomics and Chromatin Dynamics (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (1.5k citations), Cancer Research (1.6k citations), Virology (268 citations), Molecular Biology (3.7k citations) and Oncology (1.1k citations). Thomas D. Wu has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Şerban Nacu, Zora Modrušan, P. Mickey Williams, Robert Soriano, Heidi Phillips, William F. Forrest, Samir Kharbanda, Ruihuan Chen, Ken Aldape and Liliana Soroceanu. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, PLoS ONE, Molecular Cancer Research 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.