Han Xiao
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
-
- Lung Cancer Treatments and Mutations
- Prostate Cancer Treatment and Research
- Renal cell carcinoma treatment
Papers in
-
- Prostate Cancer Treatment and Research 6
- Lung Cancer Treatments and Mutations 6
- Oncology 12
- Co-authors
- Dean F. Bajorin (5 shared papers)Robert J. Motzer (5 shared papers)Eric J. Sherman (7 shared papers)Sofia Haque (6 shared papers)Matthew G. Fury (6 shared papers)George J. Bosl (2 shared papers)Stephanie Smith–Marrone (4 shared papers)David G. Pfister (6 shared papers)
- Journals
- Journal of Clinical Oncology (13 papers)Investigational New Drugs (2 papers)Cancer Management and Research (2 papers)Cancer (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Han Xiao
29 papers receiving 325 citations
Peers
Comparison fields: 5 of 52
- Otorhinolaryngology 48
- Pulmonary and Respiratory Medicine 165
- Oncology 124
- Cancer Research 49
- Reproductive Medicine 21
Countries citing papers authored by Han Xiao
This map shows the geographic impact of Han 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 Han Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Xiao more than expected).
Fields of papers citing papers by Han Xiao
This network shows the impact of papers produced by Han 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 Han Xiao. The network helps show where Han Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 43 | |
| 2 | 2012 | 34 | |
| 3 | 2015 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2015 | 29 | |
| 6 | 2020 | 27 | |
| 7 | 2012 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 1998 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Han Xiao
Han Xiao is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Lung Cancer Treatments and Mutations (6 papers), Head and Neck Cancer Studies (5 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Radiotherapy Techniques (4 papers), Neuroblastoma Research and Treatments (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Otorhinolaryngology (48 citations), Pulmonary and Respiratory Medicine (165 citations), Oncology (124 citations), Cancer Research (49 citations) and Reproductive Medicine (21 citations). Han Xiao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dean F. Bajorin, Robert J. Motzer, Eric J. Sherman, Sofia Haque, Matthew G. Fury, George J. Bosl, Stephanie Smith–Marrone, David G. Pfister, Joseph M. Ferrara and Vaia Vlamis. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Cancer Management and Research, Cancer and Radiotherapy and Oncology.
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.