Tao Xu
- Aging top 1%
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 24
- Mass Spectrometry Techniques and Applications 18
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 12
- Ubiquitin and proteasome pathways 11
- RNA modifications and cancer 8
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 6
- Cell Biology top 2%
- Parasitology top 2%
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- Peptidase Inhibition and Analysis 7
- Co-authors
- John R. YatesSung Kyu ParkJohn D. VenableCatherine C. L. WongDaniel CociorvaBingwen LuSheng DingLujian Liao
- Cited by
- AgingSpectroscopyMolecular Biology
- Journals
- Nature (1 paper)Science (4 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Tao Xu
108 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Aging 216
- Spectroscopy 1.2k
- Molecular Biology 4.8k
- Cell Biology 584
- Parasitology 201
Countries citing papers authored by Tao Xu
This map shows the geographic impact of Tao Xu'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 Tao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Xu more than expected).
Fields of papers citing papers by Tao Xu
This network shows the impact of papers produced by Tao Xu. 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 Tao Xu. The network helps show where Tao Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Xu, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2017 | 265 | |
| 6 | 2016 | 289 | |
| 7 | 2014 | 41 | |
| 8 | 2014 | 63 | |
| 9 | 2013 | 48 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 38 | |
| 12 | 2012 | 32 | |
| 13 | 2012 | 92 | |
| 14 | 2009 | 38 | |
| 15 | 2009 | 44 | |
| 16 | 2009 | 6 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 266 | |
| 19 | 2007 | 140 | |
| 20 | Identification of the causal agent of cocoyam root rot disease in Cameroon. | 1995 | 6 |
About Tao Xu
Tao Xu is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 112 papers that have together received 6.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Ubiquitin and proteasome pathways (11 papers), RNA modifications and cancer (8 papers), Peptidase Inhibition and Analysis (7 papers), Machine Learning in Bioinformatics (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Aging (216 citations), Spectroscopy (1.2k citations) and Molecular Biology (4.8k citations). Tao Xu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include John R. Yates, Sung Kyu Park, John D. Venable, Catherine C. L. Wong, Daniel Cociorva, Bingwen Lu, Sheng Ding, Lujian Liao, Tianhua Ma and Paulo C. Carvalho. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.