Gerard Manning
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Cell Biology 14
- Microtubule and mitosis dynamics 11
- Co-authors
- Tony HunterSucha SudarsanamGregory D. PlowmanKim NewtonJeremy CoppAndrew DillinYufeng ZhaiAna P. C. Rodrigues
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature (3 papers)Science (3 papers)Journal of Biological Chemistry (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Gerard Manning
52 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Aging 558
- Molecular Biology 9.6k
- Cell Biology 2.2k
- Oncology 1.8k
- Immunology 1.0k
Countries citing papers authored by Gerard Manning
This map shows the geographic impact of Gerard Manning'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 Manning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Manning more than expected).
Fields of papers citing papers by Gerard Manning
This network shows the impact of papers produced by Gerard Manning. 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 Manning. The network helps show where Gerard Manning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerard Manning, 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 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2019 | 88 | |
| 4 | 2018 | 39 | |
| 5 | 2017 | 197 | |
| 6 | 2014 | 133 | |
| 7 | 2013 | 160 | |
| 8 | 2013 | 218 | |
| 9 | 2012 | 138 | |
| 10 | 2011 | 53 | |
| 11 | 2011 | 300 | |
| 12 | 2011 | 15 | |
| 13 | 2009 | 356 | |
| 14 | 2009 | 146 | |
| 15 | 2009 | 139 | |
| 16 | 2009 | 42 | |
| 17 | 2009 | 10 | |
| 18 | 2008 | 161 | |
| 19 | 2007 | 209 | |
| 20 | 2004 | 235 |
About Gerard Manning
Gerard Manning is a scholar working on Aging, Cell Biology, Molecular Biology, Parasitology and Behavioral Neuroscience, having authored 52 papers that have together received 12.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Protist diversity and phylogeny (7 papers), Mitochondrial Function and Pathology (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (4 papers), Protein Tyrosine Phosphatases (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (558 citations), Molecular Biology (9.6k citations), Cell Biology (2.2k citations), Oncology (1.8k citations) and Immunology (1.0k citations). Gerard Manning has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Tony Hunter, Sucha Sudarsanam, Gregory D. Plowman, Kim Newton, Jeremy Copp, Andrew Dillin, Yufeng Zhai, Ana P. C. Rodrigues, Ianessa Morantte and Guillermo de Cárcer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Science, Journal of Biological Chemistry and Cell Reports.
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.