Phillip Nagley
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 19
- Molecular Biology top 1%
- Mitochondrial Function and Pathology 109
- ATP Synthase and ATPases Research 50
- Photosynthetic Processes and Mechanisms 40
- RNA and protein synthesis mechanisms 39
- Microbial Metabolic Engineering and Bioproduction 16
- Metabolomics and Mass Spectrometry Studies 14
- Cell death mechanisms and regulation 14
- Aging top 2%
- Biochemistry top 5%
- Developmental Neuroscience top 5%
- Co-authors
- Anthony W. LinnaneRodney J. DevenishChunfang ZhangTetsuhiro MinamikawaPhilip M. BeartMark PrescottAlessandra BaumerXavier Roucou
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (8 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Phillip Nagley
160 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 129
- Clinical Biochemistry 691
- Molecular Biology 4.2k
- Aging 103
- Biochemistry 172
- Developmental Neuroscience 84
Countries citing papers authored by Phillip Nagley
This map shows the geographic impact of Phillip Nagley'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 Phillip Nagley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Nagley more than expected).
Fields of papers citing papers by Phillip Nagley
This network shows the impact of papers produced by Phillip Nagley. 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 Phillip Nagley. The network helps show where Phillip Nagley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip Nagley, 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 | 2011 | 6 | |
| 2 | 2009 | 40 | |
| 3 | 2009 | 89 | |
| 4 | 2008 | 14 | |
| 5 | 2008 | 65 | |
| 6 | 2007 | 19 | |
| 7 | 2005 | 22 | |
| 8 | 2003 | 0 | |
| 9 | 2000 | 96 | |
| 10 | 2000 | 10 | |
| 11 | 2000 | 88 | |
| 12 | 1998 | 23 | |
| 13 | 1997 | 33 | |
| 14 | 1997 | 7 | |
| 15 | 1996 | 23 | |
| 16 | 1995 | 41 | |
| 17 | 1994 | 56 | |
| 18 | 1992 | 20 | |
| 19 | 1992 | 180 | |
| 20 | 1982 | 23 |
About Phillip Nagley
Phillip Nagley is a scholar working on Clinical Biochemistry, Molecular Biology and Aging, having authored 164 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (109 papers), ATP Synthase and ATPases Research (50 papers), Photosynthetic Processes and Mechanisms (40 papers), RNA and protein synthesis mechanisms (39 papers), Metabolism and Genetic Disorders (19 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Cell death mechanisms and regulation (14 papers). The work is most often cited by research in Clinical Biochemistry (691 citations), Molecular Biology (4.2k citations) and Aging (103 citations). Phillip Nagley has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Anthony W. Linnane, Rodney J. Devenish, Chunfang Zhang, Tetsuhiro Minamikawa, Philip M. Beart, Mark Prescott, Alessandra Baumer, Xavier Roucou, David N. Bowser and Gavin C. Higgins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.