Patrick J. Paddison
- Cancer Research top 1%
- MicroRNA in disease regulation 6
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 16
- RNA Interference and Gene Delivery 13
- RNA Research and Splicing 13
- RNA modifications and cancer 7
- Genetics top 2%
- Virus-based gene therapy research 8
- Glioma Diagnosis and Treatment 8
- Cell Biology top 5%
- Microtubule and mitosis dynamics 10
- Genetics top 5%
- Virus-based gene therapy research 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Gregory J. HannonAmy A. CaudyDouglas S. ConklinEmily BernsteinPaul GadueTara L. HuberGordon KellerRavi Sachidanandam
- Journals
- Neuro-Oncology (6 papers)Genes & Development (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Patrick J. Paddison
61 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 1.1k
- Molecular Biology 5.1k
- Genetics 1.1k
- Cell Biology 449
- Genetics 286
Countries citing papers authored by Patrick J. Paddison
This map shows the geographic impact of Patrick J. Paddison'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 Patrick J. Paddison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Paddison more than expected).
Fields of papers citing papers by Patrick J. Paddison
This network shows the impact of papers produced by Patrick J. Paddison. 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 Patrick J. Paddison. The network helps show where Patrick J. Paddison may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick J. Paddison, 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 | 2025 | 0 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 46 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 49 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 72 | |
| 11 | 2013 | 244 | |
| 12 | 2013 | 88 | |
| 13 | 2012 | 67 | |
| 14 | 2010 | 275 | |
| 15 | 2006 | 18 | |
| 16 | 2005 | 491 | |
| 17 | 2004 | 79 | |
| 18 | 2003 | 280 | |
| 19 | 2002 | 439 | |
| 20 | 2002 | 174 |
About Patrick J. Paddison
Patrick J. Paddison is a scholar working on Cell Biology, Molecular Biology, Genetics, Cancer Research and Business and International Management, having authored 66 papers that have together received 6.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), RNA Interference and Gene Delivery (13 papers), RNA Research and Splicing (13 papers), Microtubule and mitosis dynamics (10 papers), Virus-based gene therapy research (8 papers), Glioma Diagnosis and Treatment (8 papers), RNA modifications and cancer (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (5.1k citations), Genetics (1.1k citations), Cell Biology (449 citations) and Genetics (286 citations). Patrick J. Paddison has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Gregory J. Hannon, Amy A. Caudy, Douglas S. Conklin, Emily Bernstein, Paul Gadue, Tara L. Huber, Gordon Keller, Ravi Sachidanandam, Michele A. Cleary and W. Richard McCombie. Their work appears in journals such as Neuro-Oncology, Genes & Development, Proceedings of the National Academy of Sciences, Cancer Research and Nature Communications.
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.