Bryan Strouse
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Genetics 18
- Myeloproliferative Neoplasms: Diagnosis and Treatment 18
- Virus-based gene therapy research 4
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- Kruppel-like factors research 6
- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Eric B. Kmiec (7 shared papers)Pawel Bialk (5 shared papers)Christian A. Hassig (3 shared papers)Snezana Milutinovic (2 shared papers)Ryan J. Hansen (3 shared papers)Lauren A. Byers (1 shared paper)Carminia Maria Della Corte (1 shared paper)Li Shen (1 shared paper)
- Journals
- Blood (9 papers)Journal of Clinical Oncology (2 papers)Molecular Therapy — Nucleic Acids (2 papers)PLoS ONE (2 papers)iScience (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Bryan Strouse
28 papers receiving 394 citations
Peers
Comparison fields: 5 of 60
- Genetics 104
- Hematology 71
- Aging 11
- Biomaterials 71
- Oncology 94
Countries citing papers authored by Bryan Strouse
This map shows the geographic impact of Bryan Strouse'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 Bryan Strouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Strouse more than expected).
Fields of papers citing papers by Bryan Strouse
This network shows the impact of papers produced by Bryan Strouse. 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 Bryan Strouse. The network helps show where Bryan Strouse may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Strouse, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2013 | 71 | |
| 3 | 2015 | 57 | |
| 4 | 2022 | 40 | |
| 5 | 2014 | 23 | |
| 6 | 2012 | 22 | |
| 7 | 2014 | 20 | |
| 8 | 2024 | 12 | |
| 9 | 2012 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Bryan Strouse
Bryan Strouse is a scholar working on Genetics, Molecular Biology, Hematology, Genetics and Oncology, having authored 28 papers that have together received 401 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Chronic Myeloid Leukemia Treatments (8 papers), Kruppel-like factors research (6 papers), CRISPR and Genetic Engineering (6 papers), Virus-based gene therapy research (4 papers), DNA Repair Mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Genetics (104 citations), Hematology (71 citations), Aging (11 citations), Biomaterials (71 citations) and Oncology (94 citations). Bryan Strouse has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric B. Kmiec, Pawel Bialk, Christian A. Hassig, Snezana Milutinovic, Ryan J. Hansen, Lauren A. Byers, Carminia Maria Della Corte, Li Shen, Jing Wang and Triparna Sen. Their work appears in journals such as Blood, Journal of Clinical Oncology, Molecular Therapy — Nucleic Acids, PLoS ONE and iScience.
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.