Noah F. Greenwald
- Biophysics top 1%
- Cell Image Analysis Techniques 5
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 4
- Genetics top 5%
- Glioma Diagnosis and Treatment 9
- Oncology top 5%
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- Pituitary Gland Disorders and Treatments 4
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- Single-cell and spatial transcriptomics 7
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- Meningioma and schwannoma management 6
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- Neurofibromatosis and Schwannoma Cases 4
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Rameen BeroukhimUri Ben‐DavidJesse S. BoehmBang WongGavin HaTodd R. GolubJames M. McFarlandCoyin Oh
- Cited by
- BiophysicsCancer ResearchGenetics
- Partner nations
- United StatesSaudi ArabiaNetherlands
In The Last Decade
Noah F. Greenwald
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Biophysics 213
- Cancer Research 425
- Genetics 282
- Oncology 465
- Endocrinology, Diabetes and Metabolism 220
Countries citing papers authored by Noah F. Greenwald
This map shows the geographic impact of Noah F. Greenwald'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 Noah F. Greenwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah F. Greenwald more than expected).
Fields of papers citing papers by Noah F. Greenwald
This network shows the impact of papers produced by Noah F. Greenwald. 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 Noah F. Greenwald. The network helps show where Noah F. Greenwald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noah F. Greenwald, 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 | 2026 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 65 | |
| 8 | 2021 | 86 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 206 | |
| 11 | 2018 | 181 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 42 | |
| 14 | 2017 | 46 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 118 | |
| 17 | Patient-derived xenografts undergo mouse-specific tumor evolutionbreakdown → | 2017 | 517 |
| 18 | 2017 | 4 | |
| 19 | 2016 | 88 | |
| 20 | 2016 | 2 |
About Noah F. Greenwald
Noah F. Greenwald is a scholar working on Biophysics, Genetics and Health Informatics, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Single-cell and spatial transcriptomics (7 papers), Meningioma and schwannoma management (6 papers), Cell Image Analysis Techniques (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Cancer Genomics and Diagnostics (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Biophysics (213 citations), Cancer Research (425 citations) and Genetics (282 citations). Noah F. Greenwald has collaborated with scholars based in United States, Saudi Arabia and Netherlands. Frequent co-authors include Rameen Beroukhim, Uri Ben‐David, Jesse S. Boehm, Bang Wong, Gavin Ha, Todd R. Golub, James M. McFarland, Coyin Oh, Juliann Shih and Yuen‐Yi Tseng. Their work appears in journals such as Science, Nature Communications and Nature Genetics.
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.