Noa Urman
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Structural Biology top 10%
Papers in
- Genetics 15
- Glioma Diagnosis and Treatment 15
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- Wireless Body Area Networks 6
- 3D Printing in Biomedical Research 5
- Microfluidic and Bio-sensing Technologies 4
- Co-authors
- Zéev Bomzon (31 shared papers)Eilon D. Kirson (22 shared papers)Uri Weinberg (16 shared papers)Yoram Palti (12 shared papers)Moshe Giladi (9 shared papers)Matthew T. Ballo (9 shared papers)Gitit Lavy-Shahaf (10 shared papers)Shay Cahal (4 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (11 papers)Cancer Research (6 papers)Neuro-Oncology (4 papers)Journal of Clinical Oncology (3 papers)Annals of Oncology (2 papers)
- Partner nations
- SwitzerlandUnited StatesPortugal
In The Last Decade
Noa Urman
32 papers receiving 523 citations
Peers
Comparison fields: 5 of 56
- Genetics 220
- Structural Biology 20
- Biophysics 35
- Biotechnology 47
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Noa Urman
This map shows the geographic impact of Noa Urman'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 Noa Urman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Urman more than expected).
Fields of papers citing papers by Noa Urman
This network shows the impact of papers produced by Noa Urman. 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 Noa Urman. The network helps show where Noa Urman may publish in the future.
Co-authors
The 25 scholars most cited alongside Noa Urman, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 250 | |
| 2 | 2019 | 103 | |
| 3 | 2016 | 64 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 25 | |
| 6 | 2015 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2019 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2015 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2023 | 1 |
About Noa Urman
Noa Urman is a scholar working on Genetics, Biomedical Engineering, Radiation, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 551 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Advanced Radiotherapy Techniques (10 papers), Wireless Body Area Networks (6 papers), Cell Image Analysis Techniques (6 papers), Radiation Therapy and Dosimetry (5 papers), 3D Printing in Biomedical Research (5 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Genetics (220 citations), Structural Biology (20 citations), Biophysics (35 citations), Biotechnology (47 citations) and Cellular and Molecular Neuroscience (83 citations). Noa Urman has collaborated with scholars based in Switzerland, United States and Portugal. Frequent co-authors include Zéev Bomzon, Eilon D. Kirson, Uri Weinberg, Yoram Palti, Moshe Giladi, Matthew T. Ballo, Gitit Lavy-Shahaf, Shay Cahal, Tali Voloshin and Mijal Munster. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer Research, Neuro-Oncology, Journal of Clinical Oncology and Annals of Oncology.
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.