Ryan O’Rourke

2.3k citations
12 papers · 1.1k · 1 hit paper · h-index 10

Impact in

Papers in

Ryan O’Rourke

12 papers receiving 1.1k citations

Ryan O’Rourke's Hit Papers

Genetic and transcriptional evolution alters cancer cell line drug response 2018 · 653 citations
6530+2+5Years since publication200400600

Peers

Ryan O’Rourke
Comparison fields: 5 of 99
  • Genetics 229
  • Cancer Research 267
  • Oncology 232
  • Neurology 130
  • Molecular Biology 567
Replace Doménica Marchese with:
Doménica Marchese Spain
Kathleen S. Ensbey Australia
Joyoti Dey United States
Michele Menicagli Italy
Günter Eisele Switzerland
Einar Osland Vik-Mo Norway
Guohan Hu China
Jessica M. Rusert United States
Marie Morfouace France
Amanda G. Linkous United States
Ryan O’Rourke relative to Doménica Marchese Spain Doménica Marchese's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan O’Rourke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan O’Rourke Line = papers co-authored together Ryan O’Rourke links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Genetic and transcriptional evolution alters cancer cell line drug response
Hit paper breakdown →
2018653
2 2016216
3 202293
4 201670
5 201939
6 202223
7 202017
8 202010
9
Neuronal differentiation and cell-cycle programs mediate response to BET-bromodomain inhibition in MYC-driven medulloblastoma
201910
10 202210
11 20252
12 20202

About Ryan O’Rourke

Ryan O’Rourke is a scholar working on Developmental Neuroscience, Cancer Research, Molecular Biology, Genetics and Hematology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Cancer Genomics and Diagnostics (2 papers), Glioma Diagnosis and Treatment (2 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Multiple Myeloma Research and Treatments (2 papers), Studies on Chitinases and Chitosanases (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Genetics (229 citations), Cancer Research (267 citations), Oncology (232 citations), Neurology (130 citations) and Molecular Biology (567 citations). Ryan O’Rourke has collaborated with scholars based in United States, India and China. Frequent co-authors include Benedetta Assetta, Yu‐Wen Alvin Huang, Kevin John Connolly, Chun Geun Lee, Jack Angel Elias, Jing Tan Bian, Thomas Brickler, Sundari Chetty, Changyong Tang and Lisa Brenan. Their work appears in journals such as Journal of Visualized Experiments, Nature, Neuro-Oncology, Nature Cancer 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.

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