Nathan Brady
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 5
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 22
- Geriatrics and Gerontology top 2%
- Cell Biology top 1%
- Calpain Protease Function and Regulation 3
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 9
- Cell death mechanisms and regulation 8
- Histone Deacetylase Inhibitors Research 3
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- Mosquito-borne diseases and control 4
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- Cardiac Ischemia and Reperfusion 4
- Co-authors
- Anne Hamacher‐BradyRoberta A. GottliebIvan ĐikićRoland EilsVolker DötschVladimir V. RogovJohn HazinÅsa B. Gustafsson
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Nathan Brady
43 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Physiology 431
- Epidemiology 3.0k
- Geriatrics and Gerontology 212
- Cell Biology 786
- Molecular Biology 3.1k
Countries citing papers authored by Nathan Brady
This map shows the geographic impact of Nathan Brady'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 Nathan Brady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Brady more than expected).
Fields of papers citing papers by Nathan Brady
This network shows the impact of papers produced by Nathan Brady. 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 Nathan Brady. The network helps show where Nathan Brady may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan Brady, 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 | 2025 | 0 | |
| 2 | 2021 | 6 | |
| 3 | 2021 | 97 | |
| 4 | 2020 | 64 | |
| 5 | 2020 | 35 | |
| 6 | 2017 | 234 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 316 | |
| 9 | 2014 | 17 | |
| 10 | 2013 | 17 | |
| 11 | 2012 | 35 | |
| 12 | Phosphorylation of the Autophagy Receptor Optineurin Restricts Salmonella Growthbreakdown → | 2011 | 1030 |
| 13 | 2010 | 191 | |
| 14 | 2010 | 38 | |
| 15 | 2009 | 13 | |
| 16 | 2006 | 91 | |
| 17 | 2006 | 94 | |
| 18 | 2006 | 476 | |
| 19 | Response to myocardial ischemia/reperfusion injury involves Bnip3 and autophagybreakdown → | 2006 | 523 |
| 20 | 2004 | 95 |
About Nathan Brady
Nathan Brady is a scholar working on Physiology, Epidemiology and Aging, having authored 45 papers that have together received 5.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (22 papers), Mitochondrial Function and Pathology (9 papers), Cell death mechanisms and regulation (8 papers), Calcium signaling and nucleotide metabolism (5 papers), Mosquito-borne diseases and control (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Calpain Protease Function and Regulation (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Physiology (431 citations), Epidemiology (3.0k citations) and Geriatrics and Gerontology (212 citations). Nathan Brady has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Anne Hamacher‐Brady, Roberta A. Gottlieb, Ivan Đikić, Roland Eils, Volker Dötsch, Vladimir V. Rogov, John Hazin, Åsa B. Gustafsson, Nils Eling and Jelena Korać-Prlić. Their work appears in journals such as Journal of Biological Chemistry, Autophagy, PLoS ONE, PLoS Genetics and Cell Death and Differentiation.
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.