Phil Arnold
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 3
- Kruppel-like factors research 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
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- Plant Pathogens and Fungal Diseases 1
- Co-authors
- Erik van Nimwegen (9 shared papers)Mikhail Pachkov (8 shared papers)Piotr J. Balwierz (4 shared papers)Gerhard Christofori (4 shared papers)Nathalie Meyer‐Schaller (3 shared papers)Neha Tiwari (3 shared papers)Lorenz Waldmeier (2 shared papers)Dirk Schübeler (2 shared papers)
- Journals
- Genome Research (3 papers)PLoS ONE (2 papers)Nucleic Acids Research (1 paper)Journal of Cell Science (1 paper)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (1 paper)
- Partner nations
- SwitzerlandSpainGermany
In The Last Decade
Phil Arnold
10 papers receiving 1.1k citations
Phil Arnold's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 220
- Molecular Biology 832
- Cell Biology 130
- Oncology 197
- Genetics 120
Countries citing papers authored by Phil Arnold
This map shows the geographic impact of Phil Arnold'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 Phil Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Arnold more than expected).
Fields of papers citing papers by Phil Arnold
This network shows the impact of papers produced by Phil Arnold. 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 Phil Arnold. The network helps show where Phil Arnold may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Arnold, 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 | Sox4 Is a Master Regulator of Epithelial-Mesenchymal Transition by Controlling Ezh2 Expression and Epigenetic Reprogramming Hit paper breakdown → | 2013 | 396 |
| 2 | 2014 | 203 | |
| 3 | 2013 | 135 | |
| 4 | 2014 | 116 | |
| 5 | 2012 | 101 | |
| 6 | 2012 | 89 | |
| 7 | 2011 | 49 | |
| 8 | 2013 | 29 | |
| 9 | 2019 | 7 | |
| 10 | 2015 | 3 |
About Phil Arnold
Phil Arnold is a scholar working on Molecular Biology, Cell Biology, Genetics, Cancer Research and Pharmacology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers), Kruppel-like factors research (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cancer Research (220 citations), Molecular Biology (832 citations), Cell Biology (130 citations), Oncology (197 citations) and Genetics (120 citations). Phil Arnold has collaborated with scholars based in Switzerland, Spain and Germany. Frequent co-authors include Erik van Nimwegen, Mikhail Pachkov, Piotr J. Balwierz, Gerhard Christofori, Nathalie Meyer‐Schaller, Neha Tiwari, Lorenz Waldmeier, Dirk Schübeler, Vijay Tiwari and Mihaela Zavolan. Their work appears in journals such as Genome Research, PLoS ONE, Nucleic Acids Research, Journal of Cell Science and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.
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.