Alyssa T. Watanabe
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Health Informatics top 2%
- Co-authors
- William G. BradleyJessica W. T. LeungMegha KapoorRay C. MayoChi Yung ChimChristopher ComstockE. WeiseKazuyuki Ishihara
- Topics
- Global Cancer Incidence and Screening (6 papers)AI in cancer detection (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Alyssa T. Watanabe
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 140
- Artificial Intelligence 114
- Surgery 92
- Pulmonary and Respiratory Medicine 73
- Health Informatics 54
Countries citing papers authored by Alyssa T. Watanabe
This map shows the geographic impact of Alyssa T. Watanabe'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 Alyssa T. Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa T. Watanabe more than expected).
Fields of papers citing papers by Alyssa T. Watanabe
This network shows the impact of papers produced by Alyssa T. Watanabe. 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 Alyssa T. Watanabe. The network helps show where Alyssa T. Watanabe may publish in the future.
Co-authorship network of co-authors of Alyssa T. Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Alyssa T. Watanabe. A scholar is included among the top collaborators of Alyssa T. Watanabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alyssa T. Watanabe. Alyssa T. Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 63 | |
| 7 | 68 | |
| 8 | 36 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | [Diagnosis of infections with difficulty in isolation and identification of the causative organisms. 3) Acid-fast bacterial infections (caused by Mycobacterium tuberculosis or atypical acid-fast organisms)]. | 0 |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 67 | |
| 18 | 4 |
About Alyssa T. Watanabe
Alyssa T. Watanabe is a scholar working on Internal Medicine, Oncology and Critical Care and Intensive Care Medicine, having authored 18 papers that have together received 330 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (54 citations), Emergency Medical Services (53 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Alyssa T. Watanabe has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include William G. Bradley, Jessica W. T. Leung, Megha Kapoor, Ray C. Mayo, Chi Yung Chim, Christopher Comstock, E. Weise, Kazuyuki Ishihara, Junichi Eguchi and K Okuda. Their work appears in journals such as Radiology, American Journal of Roentgenology and Journal of Computer Assisted Tomography.
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.