Dvir Aran
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- Artificial Intelligence in Healthcare and Education 7
- Co-authors
- Atul Janardhan Butte (11 shared papers)Zicheng Hu (1 shared paper)Marina Sirota (5 shared papers)Mallar Bhattacharya (2 shared papers)Paul J. Wolters (2 shared papers)Leqian Liu (1 shared paper)Suzanna Chak (1 shared paper)Valerie Fong (1 shared paper)
- Journals
- Nature Communications (5 papers)Genome biology (5 papers)Nature Immunology (2 papers)Human Molecular Genetics (2 papers)Cell (2 papers)
- Partner nations
- IsraelUnited StatesSouth Korea
In The Last Decade
Dvir Aran
49 papers receiving 10.5k citations
Dvir Aran's Hit Papers
Peers
Comparison fields: 5 of 121
- Oncology 2.4k
- Cancer Research 1.3k
- Immunology 1.2k
- Molecular Biology 3.3k
- Genetics 388
Countries citing papers authored by Dvir Aran
This map shows the geographic impact of Dvir Aran'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 Dvir Aran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dvir Aran more than expected).
Fields of papers citing papers by Dvir Aran
This network shows the impact of papers produced by Dvir Aran. 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 Dvir Aran. The network helps show where Dvir Aran may publish in the future.
Co-authors
The 25 scholars most cited alongside Dvir Aran, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage Hit paper breakdown → | 2019 | 3286 |
| 2 | xCell: digitally portraying the tissue cellular heterogeneity landscape Hit paper breakdown → | 2017 | 3248 |
| 3 | Systematic pan-cancer analysis of tumour purity Hit paper breakdown → | 2015 | 865 |
| 4 | Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer Hit paper breakdown → | 2020 | 567 |
| 5 | 2017 | 437 | |
| 6 | 2011 | 285 | |
| 7 | 2013 | 269 | |
| 8 | 2010 | 235 | |
| 9 | 2016 | 167 | |
| 10 | 2021 | 154 | |
| 11 | 2013 | 127 | |
| 12 | 2020 | 120 | |
| 13 | 2019 | 116 | |
| 14 | 2013 | 82 | |
| 15 | 2016 | 76 | |
| 16 | 2019 | 65 | |
| 17 | 2021 | 60 | |
| 18 | 2023 | 56 | |
| 19 | 2019 | 43 | |
| 20 | 2019 | 42 |
About Dvir Aran
Dvir Aran is a scholar working on Health Informatics, Cancer Research, Molecular Biology, Oncology and Obstetrics and Gynecology, having authored 53 papers that have together received 10.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (4 papers), Maternal and Perinatal Health Interventions (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Machine Learning in Healthcare (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Oncology (2.4k citations), Cancer Research (1.3k citations), Immunology (1.2k citations), Molecular Biology (3.3k citations) and Genetics (388 citations). Dvir Aran has collaborated with scholars based in Israel, United States and South Korea. Frequent co-authors include Atul Janardhan Butte, Zicheng Hu, Marina Sirota, Mallar Bhattacharya, Paul J. Wolters, Leqian Liu, Suzanna Chak, Valerie Fong, Agnieszka P. Looney and Ram Prasad Naikawadi. Their work appears in journals such as Nature Communications, Genome biology, Nature Immunology, Human Molecular Genetics and Cell.
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.