Ashu Gupta
Impact in
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- Genetic diversity and population structure
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- Radiology practices and education 2
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- Anatomy and Medical Technology 3
- Medical Imaging and Analysis 3
- Co-authors
- Zhonghua Sun (5 shared papers)Siavash Mirarab (1 shared paper)Tandy Warnow (1 shared paper)Ivan Lau (2 shared papers)Abdul Rahman Ihdayhid (1 shared paper)Hong Wang (1 shared paper)Fred M. Kaplan (1 shared paper)Jeffrey VanWye (1 shared paper)
- Journals
- Biomolecules (2 papers)Journal of Clinical Medicine (2 papers)Journal of Thoracic and Cardiovascular Surgery (1 paper)Materials Chemistry Frontiers (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- AustraliaIndiaSaudi Arabia
In The Last Decade
Ashu Gupta
25 papers receiving 310 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 8
- Genetics 73
- Ecology, Evolution, Behavior and Systematics 43
- Ecological Modeling 9
- Orthodontics 8
Countries citing papers authored by Ashu Gupta
This map shows the geographic impact of Ashu Gupta'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 Ashu Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashu Gupta more than expected).
Fields of papers citing papers by Ashu Gupta
This network shows the impact of papers produced by Ashu Gupta. 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 Ashu Gupta. The network helps show where Ashu Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashu Gupta, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2021 | 41 | |
| 3 | 2011 | 33 | |
| 4 | 2022 | 23 | |
| 5 | 2025 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2020 | 8 | |
| 8 | 2004 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Ashu Gupta
Ashu Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Artificial Intelligence and Molecular Biology, having authored 31 papers that have together received 314 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Surgical Simulation and Training (3 papers), Anatomy and Medical Technology (3 papers), Medical Imaging and Analysis (3 papers), Topic Modeling (3 papers), Endodontics and Root Canal Treatments (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (8 citations), Genetics (73 citations), Ecology, Evolution, Behavior and Systematics (43 citations), Ecological Modeling (9 citations) and Orthodontics (8 citations). Ashu Gupta has collaborated with scholars based in Australia, India and Saudi Arabia. Frequent co-authors include Zhonghua Sun, Siavash Mirarab, Tandy Warnow, Ivan Lau, Abdul Rahman Ihdayhid, Hong Wang, Fred M. Kaplan, Jeffrey VanWye, Prathibha Ranganathan and Rodrigo Vasquez‐Del Carpio. Their work appears in journals such as Biomolecules, Journal of Clinical Medicine, Journal of Thoracic and Cardiovascular Surgery, Materials Chemistry Frontiers and npj Digital Medicine.
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.