Nicholas Xiao
- Health Informatics top 5%
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management 8
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- Radiology practices and education 3
- COVID-19 diagnosis using AI 3
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- Diversity and Career in Medicine 3
- Emergency Medical Services top 10%
- Central Venous Catheters and Hemodialysis 6
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- Diagnosis and Treatment of Venous Diseases 5
- Vascular anomalies and interventions 3
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- Health and Medical Research Impacts 2
- Co-authors
- Diego F. M. OliveiraBradley D. AllenNeel A. MansukhaniRamsey M. WehbeDonald R. CantrellKush DesaiHatice SavasYunan Wu
- Journals
- SHILAP Revista de lepidopterología (1 paper)Radiology (2 papers)European Radiology (1 paper)
- Partner nations
- United StatesPhilippines
In The Last Decade
Nicholas Xiao
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 47
- Internal Medicine 37
- Radiology, Nuclear Medicine and Imaging 146
- Gender Studies 40
- Emergency Medical Services 30
Countries citing papers authored by Nicholas Xiao
This map shows the geographic impact of Nicholas 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 Nicholas Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Xiao more than expected).
Fields of papers citing papers by Nicholas Xiao
This network shows the impact of papers produced by Nicholas 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 Nicholas Xiao. The network helps show where Nicholas Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 119 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 5 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 14 | |
| 20 | 2018 | 27 |
About Nicholas Xiao
Nicholas Xiao is a scholar working on Internal Medicine, Emergency Medical Services and Gender Studies, having authored 21 papers that have together received 258 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (8 papers), Central Venous Catheters and Hemodialysis (6 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Diversity and Career in Medicine (3 papers), Vascular anomalies and interventions (3 papers), Radiology practices and education (3 papers), COVID-19 diagnosis using AI (3 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Health Informatics (47 citations), Internal Medicine (37 citations) and Radiology, Nuclear Medicine and Imaging (146 citations). Nicholas Xiao has collaborated with scholars based in United States and Philippines. Frequent co-authors include Diego F. M. Oliveira, Bradley D. Allen, Neel A. Mansukhani, Ramsey M. Wehbe, Donald R. Cantrell, Kush Desai, Hatice Savas, Yunan Wu, Rishi Agrawal and Aggelos K. Katsaggelos. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and European Radiology.
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.