Xiaopan Yao
- Oncology top 5%
- Molecular Biology top 10%
- Hematology top 1%
- Neurology top 1%
- Epidemiology top 5%
- Co-authors
- James HuangMartin S. TallmanAlberto AntonicelliMark R. LitzowElisabeth PaiettaFangyong LiFrank DetterbeckJohn M. Bennett
- Topics
- Cancer Treatment and Pharmacology (11 papers)Myasthenia Gravis and Thymoma (9 papers)Pancreatic and Hepatic Oncology Research (6 papers)
- Cited by
- HematologyNeurologyGenetics
- Journals
- New England Journal of MedicineJournal of the American Chemical SocietyJournal of Clinical Investigation
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Xiaopan Yao
68 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Oncology 919
- Molecular Biology 906
- Hematology 875
- Neurology 814
- Epidemiology 703
Countries citing papers authored by Xiaopan Yao
This map shows the geographic impact of Xiaopan Yao'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 Xiaopan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopan Yao more than expected).
Fields of papers citing papers by Xiaopan Yao
This network shows the impact of papers produced by Xiaopan Yao. 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 Xiaopan Yao. The network helps show where Xiaopan Yao may publish in the future.
Co-authorship network of co-authors of Xiaopan Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopan Yao. A scholar is included among the top collaborators of Xiaopan Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaopan Yao. Xiaopan Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Efficacy and Safety of Vedolizumab Subcutaneous Formulation in a Randomized Trial of Patients With Ulcerative Colitisbreakdown → | 212 |
| 3 | 20 | |
| 4 | 61 | |
| 5 | 16 | |
| 6 | 71 | |
| 7 | 65 | |
| 8 | 52 | |
| 9 | 16 | |
| 10 | 239 | |
| 11 | 8 | |
| 12 | 164 | |
| 13 | 135 | |
| 14 | 73 | |
| 15 | 72 | |
| 16 | 115 | |
| 17 | 51 | |
| 18 | 48 | |
| 19 | Anthracycline Dose Intensification in Acute Myeloid Leukemiabreakdown → | 639 |
| 20 | 297 |
About Xiaopan Yao
Xiaopan Yao is a scholar working on Oncology, Hematology and Neurology, having authored 68 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (11 papers), Myasthenia Gravis and Thymoma (9 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Hematology (875 citations), Neurology (814 citations) and Genetics (477 citations). Xiaopan Yao has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include James Huang, Martin S. Tallman, Alberto Antonicelli, Mark R. Litzow, Elisabeth Paietta, Fangyong Li, Frank Detterbeck, John M. Bennett, Zhuoxin Sun and Hugo F. Fernández. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Clinical Investigation.
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.