Ryan O’Rourke
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Neurogenesis and neuroplasticity mechanisms 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Benedetta Assetta (4 shared papers)Yu‐Wen Alvin Huang (4 shared papers)Jack Angel Elias (1 shared paper)Chun Geun Lee (1 shared paper)Thomas Brickler (2 shared papers)Jing Tan Bian (2 shared papers)Sundari Chetty (2 shared papers)Changyong Tang (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Nature Communications (1 paper)Neuro-Oncology (1 paper)Alzheimer s & Dementia (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ryan O’Rourke
11 papers receiving 1.1k citations
Ryan O’Rourke's Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 240
- Cancer Research 197
- Oncology 181
- Molecular Biology 331
- Aging 6
Countries citing papers authored by Ryan O’Rourke
This map shows the geographic impact of Ryan O’Rourke'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 Ryan O’Rourke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan O’Rourke more than expected).
Fields of papers citing papers by Ryan O’Rourke
This network shows the impact of papers produced by Ryan O’Rourke. 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 Ryan O’Rourke. The network helps show where Ryan O’Rourke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan O’Rourke, 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 | Genetic and transcriptional evolution alters cancer cell line drug response Hit paper breakdown → | 2018 | 660 |
| 2 | 2016 | 220 | |
| 3 | 2022 | 96 | |
| 4 | 2016 | 70 | |
| 5 | 2019 | 41 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 2 | |
| 11 | 2025 | 2 |
About Ryan O’Rourke
Ryan O’Rourke is a scholar working on Developmental Neuroscience, Cancer Research, Genetics, Molecular Biology and Neurology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Pluripotent Stem Cells Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Studies on Chitinases and Chitosanases (1 paper), Polyomavirus and related diseases (1 paper), Protein Degradation and Inhibitors (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Genetics (240 citations), Cancer Research (197 citations), Oncology (181 citations), Molecular Biology (331 citations) and Aging (6 citations). Ryan O’Rourke has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Benedetta Assetta, Yu‐Wen Alvin Huang, Jack Angel Elias, Chun Geun Lee, Thomas Brickler, Jing Tan Bian, Sundari Chetty, Changyong Tang, Lisa Brenan and Walter J. Atwood. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Neuro-Oncology, Alzheimer s & Dementia 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.