A. Tai

2.1k citations
77 papers · 1.5k · h-index 21

Impact in

Papers in

A. Tai

75 papers receiving 1.5k citations

Peers

A. Tai
Comparison fields: 5 of 87
  • Radiation 546
  • Radiology, Nuclear Medicine and Imaging 386
  • Cancer Research 208
  • Pulmonary and Respiratory Medicine 272
  • Otorhinolaryngology 32
Replace Dualta Mcquaid with:
Dualta Mcquaid United Kingdom
Fuquan Zhang China
Marsha Reyngold United States
Constantinos Zamboglou Germany
Merina Ahmed United Kingdom
Mika Kapanen Finland
Jun-etsu Mizoe Japan
Bruno Fionda Italy
Matthew C. Abramowitz United States
Jöerg Lehmann Australia
A. Tai relative to Dualta Mcquaid United Kingdom Dualta Mcquaid's profile →
Citations per field
00.5×1.5×1.8×
Dualta Mcquaid · 1×
Citations per year

Countries citing papers authored by A. Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with A. Tai Line = papers co-authored together A. Tai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009301
2 2018152
3 201080
4 200856
5 201553
6 202045
7 201641
8 201837
9 201837
10 201937
11 202036
12 201332
13 201831
14 201131
15 202330
16 201228
17 201326
18 201525
19 202125
20 200924

About A. Tai

A. Tai is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (31 papers), Trypanosoma species research and implications (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (7 papers), Lysosomal Storage Disorders Research (7 papers), Head and Neck Cancer Studies (6 papers), Breast Cancer Treatment Studies (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiation (546 citations), Radiology, Nuclear Medicine and Imaging (386 citations), Cancer Research (208 citations), Pulmonary and Respiratory Medicine (272 citations) and Otorhinolaryngology (32 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, Jonathan Strauss, Adam Currey, Lawrence B. Marks, Douglas W. Arthur 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.

Explore authors with similar magnitude of impact