Dave O’Hanlon
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- Genomics and Chromatin Dynamics 2
- Ubiquitin and proteasome pathways 1
- Pluripotent Stem Cells Research 1
- RNA regulation and disease 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Benjamin J. Blencowe (11 shared papers)Eesha Sharma (1 shared paper)Bushra Raj (5 shared papers)Qun Pan (4 shared papers)Jeffrey L. Wrana (3 shared papers)Manuel Irimia (4 shared papers)Jonathan D. Ellis (3 shared papers)Miriam Barrios‐Rodiles (2 shared papers)
- Journals
- Molecular Cell (5 papers)Cell (4 papers)Molecular and Cellular Biology (1 paper)Nature Ecology & Evolution (1 paper)
- Partner nations
- CanadaUnited KingdomSpain
In The Last Decade
Dave O’Hanlon
11 papers receiving 2.1k citations
Dave O’Hanlon's Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 1.8k
- Cancer Research 305
- Aging 27
- Genetics 51
- Genetics 136
Countries citing papers authored by Dave O’Hanlon
This map shows the geographic impact of Dave O’Hanlon'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 Dave O’Hanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave O’Hanlon more than expected).
Fields of papers citing papers by Dave O’Hanlon
This network shows the impact of papers produced by Dave O’Hanlon. 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 Dave O’Hanlon. The network helps show where Dave O’Hanlon may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave O’Hanlon, 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 | A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains Hit paper breakdown → | 2014 | 460 |
| 2 | 2012 | 304 | |
| 3 | 2011 | 279 | |
| 4 | 2016 | 275 | |
| 5 | 2009 | 174 | |
| 6 | 2010 | 127 | |
| 7 | 2017 | 113 | |
| 8 | 2011 | 109 | |
| 9 | 2014 | 97 | |
| 10 | 2018 | 90 | |
| 11 | 2019 | 54 |
About Dave O’Hanlon
Dave O’Hanlon is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Organic Chemistry and Surgery, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), Genomics and Chromatin Dynamics (2 papers), Ubiquitin and proteasome pathways (1 paper), Pluripotent Stem Cells Research (1 paper), RNA regulation and disease (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (305 citations), Aging (27 citations), Genetics (51 citations) and Genetics (136 citations). Dave O’Hanlon has collaborated with scholars based in Canada, United Kingdom and Spain. Frequent co-authors include Benjamin J. Blencowe, Eesha Sharma, Bushra Raj, Qun Pan, Jeffrey L. Wrana, Manuel Irimia, Jonathan D. Ellis, Miriam Barrios‐Rodiles, John A. Calarco and Robert J. Weatheritt. Their work appears in journals such as Molecular Cell, Cell, Molecular and Cellular Biology and Nature Ecology & Evolution.
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.