Ulysses J. Balis
- Biomedical Engineering top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Cancer Research top 2%
- Co-authors
- Mehmet TonerMartin L. YarmushSangeeta N. BhatiaRonald G. TompkinsShyamala MaheswaranLecia V. SequistSubba R. DigumarthySunitha Nagrath
- Topics
- AI in cancer detection (27 papers)Biomedical Text Mining and Ontologies (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)
- Cited by
- HepatologyOncologyHealth Informatics
- Journals
- NatureNew England Journal of MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Ulysses J. Balis
85 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Biomedical Engineering 2.8k
- Oncology 2.0k
- Molecular Biology 1.7k
- Surgery 1.1k
- Cancer Research 1.0k
Countries citing papers authored by Ulysses J. Balis
This map shows the geographic impact of Ulysses J. Balis'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 Ulysses J. Balis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulysses J. Balis more than expected).
Fields of papers citing papers by Ulysses J. Balis
This network shows the impact of papers produced by Ulysses J. Balis. 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 Ulysses J. Balis. The network helps show where Ulysses J. Balis may publish in the future.
Co-authorship network of co-authors of Ulysses J. Balis
This figure shows the co-authorship network connecting the top 25 collaborators of Ulysses J. Balis. A scholar is included among the top collaborators of Ulysses J. Balis 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 Ulysses J. Balis. Ulysses J. Balis 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 35 | |
| 6 | 67 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 236 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | Isolation of rare circulating tumour cells in cancer patients by microchip technologybreakdown → | 2908 |
| 16 | 31 | |
| 17 | 377 | |
| 18 | 9 | |
| 19 | 43 | |
| 20 | 243 |
About Ulysses J. Balis
Ulysses J. Balis is a scholar working on Health Informatics, Biophysics and Hepatology, having authored 88 papers that have together received 7.3k indexed citations. Recurring topics across this work include AI in cancer detection (27 papers), Biomedical Text Mining and Ontologies (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Hepatology (762 citations), Oncology (2.0k citations) and Health Informatics (93 citations). Ulysses J. Balis has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Mehmet Toner, Martin L. Yarmush, Sangeeta N. Bhatia, Ronald G. Tompkins, Shyamala Maheswaran, Lecia V. Sequist, Subba R. Digumarthy, Sunitha Nagrath, Paula D. Ryan and Daniel A. Haber. Their work appears in journals such as Nature, New England Journal of Medicine and SHILAP Revista de lepidopterología.
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.