Andrew Ninh
Impact in
- Health Informatics top 10%
- Oncology top 10%
- Colorectal Cancer Screening and Detection
Papers in
- Oncology 12
- Colorectal Cancer Screening and Detection 12
-
- Radiomics and Machine Learning in Medical Imaging 7
- COVID-19 diagnosis using AI 1
- Co-authors
- James Requa (17 shared papers)Tyler Dao (14 shared papers)Jason Samarasena (11 shared papers)William E. Karnes (9 shared papers)Kenneth J. Chang (5 shared papers)William E. Karnes (11 shared papers)Rintaro Hashimoto (4 shared papers)Elise Tran (2 shared papers)
- Journals
- The American Journal of Gastroenterology (10 papers)Gastrointestinal Endoscopy (7 papers)Gastroenterology (3 papers)Techniques and Innovations in Gastrointestinal Endoscopy (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Andrew Ninh
21 papers receiving 390 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 14
- Oncology 210
- Gastroenterology 41
- Radiology, Nuclear Medicine and Imaging 108
- Pulmonary and Respiratory Medicine 136
Countries citing papers authored by Andrew Ninh
This map shows the geographic impact of Andrew Ninh'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 Andrew Ninh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ninh more than expected).
Fields of papers citing papers by Andrew Ninh
This network shows the impact of papers produced by Andrew Ninh. 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 Andrew Ninh. The network helps show where Andrew Ninh may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Ninh, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 155 | |
| 2 | 2020 | 95 | |
| 3 | 2019 | 94 | |
| 4 | 2017 | 9 | |
| 5 | 2018 | 7 | |
| 6 | 2018 | 6 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2014 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2018 | 2 |
About Andrew Ninh
Andrew Ninh is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Artificial Intelligence, having authored 23 papers that have together received 411 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Gastric Cancer Management and Outcomes (5 papers), Esophageal Cancer Research and Treatment (3 papers), AI in cancer detection (2 papers), COVID-19 diagnosis using AI (1 paper), Mathematical Biology Tumor Growth (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Health Informatics (14 citations), Oncology (210 citations), Gastroenterology (41 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Pulmonary and Respiratory Medicine (136 citations). Andrew Ninh has collaborated with scholars based in United States. Frequent co-authors include James Requa, Tyler Dao, Jason Samarasena, William E. Karnes, Kenneth J. Chang, William E. Karnes, Rintaro Hashimoto, Elise Tran, Vipin Arora and Ranga Chandra Gudivada. Their work appears in journals such as The American Journal of Gastroenterology, Gastrointestinal Endoscopy, Gastroenterology, Techniques and Innovations in Gastrointestinal Endoscopy and PubMed.
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.