Gerard Cagney
Impact in
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Epigenetics and DNA Methylation
- Biological Psychiatry top 2%
Papers in
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- Tryptophan and brain disorders 12
-
- Bioinformatics and Genomic Networks 17
- Fungal and yeast genetics research 14
- Epigenetics and DNA Methylation 13
- Genomics and Chromatin Dynamics 10
- Metabolomics and Mass Spectrometry Studies 9
- Co-authors
- Nevan J. KroganAndrew EmiliStanley FieldsPeter UetzMeijia YangTraci A. MansfieldJames KnightVaibhav A. Narayan
- Journals
- PROTEOMICS (6 papers)Molecular Cell (5 papers)Scientific Reports (4 papers)Cell (4 papers)Molecular Psychiatry (4 papers)
- Partner nations
- IrelandUnited StatesCanada
In The Last Decade
Gerard Cagney
104 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 9.4k
- Biological Psychiatry 247
- Virology 397
- Cell Biology 1.1k
- Biomaterials 845
Countries citing papers authored by Gerard Cagney
This map shows the geographic impact of Gerard Cagney'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 Gerard Cagney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Cagney more than expected).
Fields of papers citing papers by Gerard Cagney
This network shows the impact of papers produced by Gerard Cagney. 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 Gerard Cagney. The network helps show where Gerard Cagney may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerard Cagney, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 123 | |
| 5 | 2017 | 39 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 19 | |
| 8 | 2015 | 43 | |
| 9 | 2015 | 32 | |
| 10 | 2010 | 41 | |
| 11 | 2010 | 95 | |
| 12 | 2010 | 143 | |
| 13 | 2008 | 2 | |
| 14 | 2008 | 9 | |
| 15 | 2006 | 7 | |
| 16 | 2006 | 19 | |
| 17 | 2003 | 77 | |
| 18 | 2003 | 53 | |
| 19 | 2002 | 185 | |
| 20 | 2002 | 106 |
About Gerard Cagney
Gerard Cagney is a scholar working on Biological Psychiatry, Molecular Biology, Spectroscopy, Virology and Behavioral Neuroscience, having authored 109 papers that have together received 12.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Bioinformatics and Genomic Networks (17 papers), Fungal and yeast genetics research (14 papers), Epigenetics and DNA Methylation (13 papers), Tryptophan and brain disorders (12 papers), Genomics and Chromatin Dynamics (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Molecular Biology (9.4k citations), Biological Psychiatry (247 citations), Virology (397 citations), Cell Biology (1.1k citations) and Biomaterials (845 citations). Gerard Cagney has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Nevan J. Krogan, Andrew Emili, Stanley Fields, Peter Uetz, Meijia Yang, Traci A. Mansfield, James Knight, Vaibhav A. Narayan, Ying Li and Maithreyan Srinivasan. Their work appears in journals such as PROTEOMICS, Molecular Cell, Scientific Reports, Cell and Molecular Psychiatry.
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.