A. Tai
- Radiation top 0.5%
- Advanced Radiotherapy Techniques 41
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- Medical Imaging Techniques and Applications 22
- Radiomics and Machine Learning in Medical Imaging 13
- Radiation Dose and Imaging 13
- Cancer Research top 10%
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- Radiation Therapy and Dosimetry 15
- Lung Cancer Diagnosis and Treatment 10
- Otorhinolaryngology top 5%
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- Trypanosoma species research and implications 10
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- Lysosomal Storage Disorders Research 7
- Co-authors
- X. Allen LiBradley A. EricksonZiyin LiJulia WhiteCarmen BergomAdam CurreyJonathan StraussLawrence B. Marks
- Journals
- International Journal of Radiation Oncology*Biology*Physics (25 papers)Medical Physics (15 papers)Practical Radiation Oncology (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
A. Tai
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Radiation 773
- Radiology, Nuclear Medicine and Imaging 722
- Cancer Research 261
- Pulmonary and Respiratory Medicine 502
- Otorhinolaryngology 53
Countries citing papers authored by A. Tai
This map shows the geographic impact of A. Tai'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 A. Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Tai more than expected).
Fields of papers citing papers by A. Tai
This network shows the impact of papers produced by A. Tai. 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 A. Tai. The network helps show where A. Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Tai, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 37 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 23 | |
| 16 | 2013 | 2 | |
| 17 | 2011 | 31 | |
| 18 | 2010 | 77 | |
| 19 | 2010 | 13 | |
| 20 | 2009 | 23 |
About A. Tai
A. Tai is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (41 papers), Medical Imaging Techniques and Applications (22 papers), Radiation Therapy and Dosimetry (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Radiation Dose and Imaging (13 papers), Lung Cancer Diagnosis and Treatment (10 papers), Trypanosoma species research and implications (10 papers) and Lysosomal Storage Disorders Research (7 papers). The work is most often cited by research in Radiation (773 citations), Radiology, Nuclear Medicine and Imaging (722 citations) and Cancer Research (261 citations). A. Tai has collaborated with scholars based in United States, China and Germany. Frequent co-authors include X. Allen Li, Bradley A. Erickson, Ziyin Li, Julia White, Carmen Bergom, Adam Currey, Jonathan Strauss, Lawrence B. Marks, Lori J. Pierce and Alphonse G. Taghian. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Practical Radiation Oncology, Radiotherapy and Oncology and Translational 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.