Xiaoting Tao
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
Papers in
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- Lung Cancer Treatments and Mutations 6
- Lung Cancer Diagnosis and Treatment 5
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Yihua Sun (12 shared papers)Muyu Kuang (8 shared papers)Yunjian Pan (7 shared papers)Difan Zheng (6 shared papers)Haiquan Chen (5 shared papers)Yue Zhao (6 shared papers)Hong Hu (5 shared papers)Jiaqing Xiang (4 shared papers)
- Journals
- Nature Communications (2 papers)Translational Lung Cancer Research (2 papers)American Journal of Clinical Pathology (1 paper)Clinical Proteomics (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xiaoting Tao
21 papers receiving 552 citations
Peers
Comparison fields: 5 of 59
- Geriatrics and Gerontology 27
- Pulmonary and Respiratory Medicine 200
- Cancer Research 77
- Oncology 110
- Infectious Diseases 61
Countries citing papers authored by Xiaoting Tao
This map shows the geographic impact of Xiaoting Tao'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 Xiaoting Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Tao more than expected).
Fields of papers citing papers by Xiaoting Tao
This network shows the impact of papers produced by Xiaoting Tao. 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 Xiaoting Tao. The network helps show where Xiaoting Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Tao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2021 | 76 | |
| 3 | 2019 | 59 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Xiaoting Tao
Xiaoting Tao is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Infectious Diseases, Molecular Biology and Geriatrics and Gerontology, having authored 23 papers that have together received 558 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers), Extracellular vesicles in disease (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Pulmonary and Respiratory Medicine (200 citations), Cancer Research (77 citations), Oncology (110 citations) and Infectious Diseases (61 citations). Xiaoting Tao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yihua Sun, Muyu Kuang, Yunjian Pan, Difan Zheng, Haiquan Chen, Yue Zhao, Hong Hu, Jiaqing Xiang, Haiquan Chen and Ting Ye. Their work appears in journals such as Nature Communications, Translational Lung Cancer Research, American Journal of Clinical Pathology, Clinical Proteomics and Oncotarget.
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.