Nathan Dahl
Impact in
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- Glioma Diagnosis and Treatment
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- Pituitary Gland Disorders and Treatments
Papers in
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- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 4
- Chromatin Remodeling and Cancer 2
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Nicholas K. Foreman (13 shared papers)Lindsey M. Hoffman (5 shared papers)David M. Mirsky (4 shared papers)Todd C. Hankinson (6 shared papers)Jean M. Mulcahy Levy (5 shared papers)Andrew M. Donson (7 shared papers)Etienne Danis (6 shared papers)Angela Pierce (7 shared papers)
- Journals
- Neuro-Oncology (6 papers)Nature Communications (3 papers)Cell Reports (2 papers)Pediatric Blood & Cancer (2 papers)Journal of Neuropathology & Experimental Neurology (2 papers)
- Partner nations
- United StatesPolandBrazil
In The Last Decade
Nathan Dahl
16 papers receiving 161 citations
Peers
Comparison fields: 5 of 33
- Genetics 58
- Endocrinology, Diabetes and Metabolism 58
- Neurology 25
- Rheumatology 17
- Molecular Biology 61
Countries citing papers authored by Nathan Dahl
This map shows the geographic impact of Nathan Dahl'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 Nathan Dahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Dahl more than expected).
Fields of papers citing papers by Nathan Dahl
This network shows the impact of papers produced by Nathan Dahl. 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 Nathan Dahl. The network helps show where Nathan Dahl may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Dahl, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2020 | 29 | |
| 3 | 2021 | 26 | |
| 4 | 2019 | 10 | |
| 5 | 2016 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2022 | 0 |
About Nathan Dahl
Nathan Dahl is a scholar working on Molecular Biology, Genetics, Neurology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 24 papers that have together received 163 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Protein Degradation and Inhibitors (4 papers), Neuroblastoma Research and Treatments (4 papers), Genomics and Chromatin Dynamics (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Chromatin Remodeling and Cancer (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (58 citations), Endocrinology, Diabetes and Metabolism (58 citations), Neurology (25 citations), Rheumatology (17 citations) and Molecular Biology (61 citations). Nathan Dahl has collaborated with scholars based in United States, Poland and Brazil. Frequent co-authors include Nicholas K. Foreman, Lindsey M. Hoffman, David M. Mirsky, Todd C. Hankinson, Jean M. Mulcahy Levy, Andrew M. Donson, Etienne Danis, Angela Pierce, Natalie J. Serkova and Sujatha Venkataraman. Their work appears in journals such as Neuro-Oncology, Nature Communications, Cell Reports, Pediatric Blood & Cancer and Journal of Neuropathology & Experimental Neurology.
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.