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 and protein synthesis mechanisms 6
- RNA Research and Splicing 6
- RNA modifications and cancer 4
- Signaling Pathways in Disease 1
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Adrian R. Krainer (3 shared papers)John Wooley (2 shared papers)Thomas Bibring (2 shared papers)Wallace M. LeStourgeon (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)Genes & Development (1 paper)Cell (1 paper)Developmental Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Greg Conway
10 papers receiving 903 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 841
- Cardiology and Cardiovascular Medicine 95
- Virology 18
- Immunology 76
- Genetics 28
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 11 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 | 408 | |
| 2 | 1990 | 321 | |
| 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 918 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers), Zebrafish Biomedical Research Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (841 citations), Cardiology and Cardiovascular Medicine (95 citations), Virology (18 citations), Immunology (76 citations) and Genetics (28 citations). Greg Conway has collaborated with scholars based in United States. Frequent co-authors include Adrian R. Krainer, John Wooley, Thomas Bibring, Wallace M. LeStourgeon, Richard J. Roberts, Sharon Wong-Madden, Walter Gilbert, David L. Spector, Shuo Lin and Sigrid Reinsch. Their work appears in journals such as Molecular and Cellular Biology, Genes & Development, Cell, Developmental Biology and Proceedings of the National Academy of Sciences.
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.