Gal Dinstag
Impact in
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- Cancer Genomics and Diagnostics
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- PARP inhibition in cancer therapy 1
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Ron Shamir (2 shared papers)Kenneth Aldape (5 shared papers)Tuvik Beker (10 shared papers)Eytan Ruppin (4 shared papers)Ranit Aharonov (10 shared papers)David Amar (1 shared paper)Erik Ingelsson (1 shared paper)Eyal Schiff (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)Journal for ImmunoTherapy of Cancer (2 papers)PLoS ONE (1 paper)Oral Oncology (1 paper)Bioinformatics (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Gal Dinstag
9 papers receiving 65 citations
Peers
Comparison fields: 5 of 19
- Cancer Research 20
- Molecular Biology 35
- Oncology 12
- Hepatology 3
- Computational Theory and Mathematics 6
Countries citing papers authored by Gal Dinstag
This map shows the geographic impact of Gal Dinstag'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 Gal Dinstag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Dinstag more than expected).
Fields of papers citing papers by Gal Dinstag
This network shows the impact of papers produced by Gal Dinstag. 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 Gal Dinstag. The network helps show where Gal Dinstag may publish in the future.
Co-authors
The 25 scholars most cited alongside Gal Dinstag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2022 | 11 | |
| 3 | 2019 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Gal Dinstag
Gal Dinstag is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 13 papers that have together received 65 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Bioinformatics and Genomic Networks (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), AI in cancer detection (2 papers), Sarcoma Diagnosis and Treatment (1 paper), PARP inhibition in cancer therapy (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (20 citations), Molecular Biology (35 citations), Oncology (12 citations), Hepatology (3 citations) and Computational Theory and Mathematics (6 citations). Gal Dinstag has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Ron Shamir, Kenneth Aldape, Tuvik Beker, Eytan Ruppin, Ranit Aharonov, David Amar, Erik Ingelsson, Eyal Schiff, Euan A. Ashley and Razelle Kurzrock. Their work appears in journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, PLoS ONE, Oral Oncology and Bioinformatics.
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.