Yan Xiao
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
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- Mitochondrial Function and Pathology
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- Extracellular vesicles in disease
- DNA Repair Mechanisms
- Molecular Biology Techniques and Applications
Papers in
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- Mitochondrial Function and Pathology 2
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Oncology 2
- Co-authors
- Vito Michele Fazio (1 shared paper)Daniel Cohen (1 shared paper)Carla Rabitti (1 shared paper)Theresa L. Nicol (1 shared paper)David Sidransky (1 shared paper)Monica Rinaldi (1 shared paper)Edward Gabrielson (1 shared paper)Paola Parrella (1 shared paper)
- Journals
- Nature Methods (1 paper)Advanced Science (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Journal of Biological Chemistry (1 paper)Annals of Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yan Xiao
10 papers receiving 432 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 108
- Molecular Biology 329
- Clinical Biochemistry 20
- Genetics 65
- Immunology 32
Countries citing papers authored by Yan Xiao
This map shows the geographic impact of Yan Xiao'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 Yan Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Xiao more than expected).
Fields of papers citing papers by Yan Xiao
This network shows the impact of papers produced by Yan Xiao. 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 Yan Xiao. The network helps show where Yan Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Xiao, 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 | Detection of mitochondrial DNA mutations in primary breast cancer and fine-needle aspirates. | 2001 | 217 |
| 2 | 2010 | 59 | |
| 3 | 2019 | 46 | |
| 4 | 2006 | 37 | |
| 5 | 2014 | 35 | |
| 6 | 2000 | 21 | |
| 7 | 2008 | 15 | |
| 8 | 2006 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Yan Xiao
Yan Xiao is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Neurology, having authored 14 papers that have together received 438 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), Pluripotent Stem Cells Research (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Plant nutrient uptake and metabolism (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (108 citations), Molecular Biology (329 citations), Clinical Biochemistry (20 citations), Genetics (65 citations) and Immunology (32 citations). Yan Xiao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Vito Michele Fazio, Daniel Cohen, Carla Rabitti, Theresa L. Nicol, David Sidransky, Monica Rinaldi, Edward Gabrielson, Paola Parrella, Montse Sánchez‐Céspedes and Paola Mazzarelli. Their work appears in journals such as Nature Methods, Advanced Science, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Biological Chemistry and Annals of Medicine.
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.