Philip Corrin
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
- Renal and related cancers
- Epigenetics and DNA Methylation
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- CRISPR and Genetic Engineering 4
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- RNA and protein synthesis mechanisms 2
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- Hippo pathway signaling and YAP/TAZ 2
- Microtubule and mitosis dynamics 2
- Co-authors
- Philippe Soriano (3 shared papers)Richard A. Klinghoffer (2 shared papers)Tim Hamilton (1 shared paper)Patrick J. Paddison (11 shared papers)Austin Smith (1 shared paper)Jennifer Nichols (1 shared paper)Joerg Betschinger (1 shared paper)Sabine Dietmann (1 shared paper)
- Journals
- Genes & Development (2 papers)Cancer Research (2 papers)Developmental Cell (1 paper)Nature Communications (1 paper)Neuro-Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Philip Corrin
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 766
- Cell Biology 161
- Developmental Neuroscience 30
- Cancer Research 104
- Aging 13
Countries citing papers authored by Philip Corrin
This map shows the geographic impact of Philip Corrin'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 Philip Corrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Corrin more than expected).
Fields of papers citing papers by Philip Corrin
This network shows the impact of papers produced by Philip Corrin. 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 Philip Corrin. The network helps show where Philip Corrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Corrin, 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 | 2003 | 339 | |
| 2 | 2013 | 246 | |
| 3 | 2004 | 94 | |
| 4 | 2013 | 89 | |
| 5 | 2012 | 67 | |
| 6 | 2000 | 63 | |
| 7 | 2014 | 59 | |
| 8 | 2019 | 55 | |
| 9 | 2021 | 28 | |
| 10 | 2017 | 14 | |
| 11 | 2013 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 0 |
About Philip Corrin
Philip Corrin is a scholar working on Molecular Biology, Cell Biology, Genetics, Cancer Research and Surgery, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Virus-based gene therapy research (2 papers), Pluripotent Stem Cells Research (2 papers), Microtubule and mitosis dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (766 citations), Cell Biology (161 citations), Developmental Neuroscience (30 citations), Cancer Research (104 citations) and Aging (13 citations). Philip Corrin has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Philippe Soriano, Richard A. Klinghoffer, Tim Hamilton, Patrick J. Paddison, Austin Smith, Jennifer Nichols, Joerg Betschinger, Sabine Dietmann, Jeffrey J. Delrow and Weisheng V. Chen. Their work appears in journals such as Genes & Development, Cancer Research, Developmental Cell, Nature Communications and Neuro-Oncology.
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.