Xutao Deng
- Virology top 2%
- HIV Research and Treatment 14
- Hematology top 2%
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 10
- HIV/AIDS drug development and treatment 7
- Cancer Research top 10%
- Biochemistry top 5%
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- Gene expression and cancer classification 20
- Bioinformatics and Genomic Networks 16
- Machine Learning in Bioinformatics 8
- Extracellular vesicles in disease 6
- Molecular Biology Techniques and Applications 6
- Co-authors
- Philip J. NorrisFabien CampagneWim van PuttenPeter J.M. ValkMaría E. FigueroaJames G. BoothElizabeth D. SchifanoClaudia Erpelinck-Verschueren
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (7 papers)Nature Biotechnology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Xutao Deng
83 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Virology 247
- Hematology 495
- Infectious Diseases 411
- Cancer Research 299
- Biochemistry 115
Countries citing papers authored by Xutao Deng
This map shows the geographic impact of Xutao Deng'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 Xutao Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xutao Deng more than expected).
Fields of papers citing papers by Xutao Deng
This network shows the impact of papers produced by Xutao Deng. 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 Xutao Deng. The network helps show where Xutao Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xutao Deng, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 79 | |
| 13 | 2015 | 39 | |
| 14 | 2008 | 14 | |
| 15 | 2008 | 6 | |
| 16 | 2008 | 6 | |
| 17 | 2008 | 2 | |
| 18 | Predicting yeast gene function based on hidden markov models | 2005 | 0 |
| 19 | Message Passing Clustering with Stochastic Merging Based on Kernel Functions | 2005 | 1 |
| 20 | 2004 | 6 |
About Xutao Deng
Xutao Deng is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 86 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (16 papers), HIV Research and Treatment (14 papers), HIV/AIDS Research and Interventions (10 papers), Machine Learning in Bioinformatics (8 papers), HIV/AIDS drug development and treatment (7 papers), Extracellular vesicles in disease (6 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Virology (247 citations), Hematology (495 citations) and Infectious Diseases (411 citations). Xutao Deng has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Philip J. Norris, Fabien Campagne, Wim van Putten, Peter J.M. Valk, María E. Figueroa, James G. Booth, Elizabeth D. Schifano, Claudia Erpelinck-Verschueren, John M. Greally and Yushan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Nature Biotechnology.
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.