Greg Wardle
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- RNA regulation and disease
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Advanced biosensing and bioanalysis techniques 1
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Thomas Tuschl (4 shared papers)Lukas Burger (3 shared papers)Mihaela Zavolan (3 shared papers)Markus Hafner (3 shared papers)Markus Landthaler (3 shared papers)Mohsen Khorshid (3 shared papers)Manuel Ascano (3 shared papers)Scott Dewell (2 shared papers)
- Journals
- Nature (1 paper)Cell (1 paper)Nucleosides Nucleotides & Nucleic Acids (1 paper)Journal of Visualized Experiments (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Greg Wardle
5 papers receiving 2.9k citations
Greg Wardle's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 1.3k
- Molecular Biology 2.8k
- Aging 19
- Immunology 121
- Endocrinology 27
Countries citing papers authored by Greg Wardle
This map shows the geographic impact of Greg Wardle'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 Greg Wardle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Wardle more than expected).
Fields of papers citing papers by Greg Wardle
This network shows the impact of papers produced by Greg Wardle. 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 Greg Wardle. The network helps show where Greg Wardle may publish in the future.
Co-authors
The 22 scholars most cited alongside Greg Wardle, 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 | Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP Hit paper breakdown → | 2010 | 2225 |
| 2 | 2009 | 424 | |
| 3 | 2010 | 211 | |
| 4 | 2014 | 76 | |
| 5 | 2015 | 12 |
About Greg Wardle
Greg Wardle is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 5 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Advanced biosensing and bioanalysis techniques (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.8k citations), Aging (19 citations), Immunology (121 citations) and Endocrinology (27 citations). Greg Wardle has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Thomas Tuschl, Lukas Burger, Mihaela Zavolan, Markus Hafner, Markus Landthaler, Mohsen Khorshid, Manuel Ascano, Scott Dewell, Mathias Munschauer and Philipp Berninger. Their work appears in journals such as Nature, Cell, Nucleosides Nucleotides & Nucleic Acids, Journal of Visualized Experiments and Methods in enzymology on CD-ROM/Methods in enzymology.
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.