Greg Conway
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- RNA regulation and disease
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- Viral Infections and Immunology Research
Papers in
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 4
- Retinal Development and Disorders 1
- RNA Interference and Gene Delivery 1
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Adrian R. Krainer (3 shared papers)Wallace M. LeStourgeon (2 shared papers)Thomas Bibring (2 shared papers)John Wooley (2 shared papers)Richard J. Roberts (3 shared papers)Sharon Wong-Madden (1 shared paper)Walter Gilbert (1 shared paper)David L. Spector (2 shared papers)
- Journals
- Molecular and Cellular Biology (4 papers)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Genes & Development (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United States
In The Last Decade
Greg Conway
10 papers receiving 900 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 837
- Cardiology and Cardiovascular Medicine 94
- Virology 18
- Immunology 74
- Genetics 26
Countries citing papers authored by Greg Conway
This map shows the geographic impact of Greg Conway'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 Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Conway more than expected).
Fields of papers citing papers by Greg Conway
This network shows the impact of papers produced by Greg Conway. 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 Conway. The network helps show where Greg Conway may publish in the future.
Co-authors
The 12 scholars most cited alongside Greg Conway, 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 | 1990 | 406 | |
| 2 | 1990 | 320 | |
| 3 | 1988 | 55 | |
| 4 | 1997 | 47 | |
| 5 | 1988 | 30 | |
| 6 | 1995 | 21 | |
| 7 | 2006 | 19 | |
| 8 | 1989 | 9 | |
| 9 | 1989 | 5 | |
| 10 | 2006 | 3 |
About Greg Conway
Greg Conway is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Oncology, having authored 10 papers that have together received 915 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (4 papers), Zebrafish Biomedical Research Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Animal Genetics and Reproduction (1 paper), Retinal Development and Disorders (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Molecular Biology (837 citations), Cardiology and Cardiovascular Medicine (94 citations), Virology (18 citations), Immunology (74 citations) and Genetics (26 citations). Greg Conway has collaborated with scholars based in United States. Frequent co-authors include Adrian R. Krainer, Wallace M. LeStourgeon, Thomas Bibring, John Wooley, Richard J. Roberts, Sharon Wong-Madden, Walter Gilbert, David L. Spector, Shuo Lin and Marcela Torrejón. Their work appears in journals such as Molecular and Cellular Biology, Cell, Proceedings of the National Academy of Sciences, Genes & Development and Mechanisms of Development.
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.