Roger Pocock
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Structural Biology top 5%
Papers in
- Aging 46
- Genetics, Aging, and Longevity in Model Organisms 46
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- Pluripotent Stem Cells Research 10
- Mitochondrial Function and Pathology 7
- Co-authors
- Oliver Hobert (6 shared papers)Michelle Watts (1 shared paper)Charles Claudianos (1 shared paper)Konstantinos Kagias (6 shared papers)Sandeep Gopal (13 shared papers)John Couchman (4 shared papers)Hinke A.B. Multhaupt (3 shared papers)Agnieszka Podolska (3 shared papers)
- Journals
- Scientific Reports (5 papers)eLife (3 papers)PLoS Genetics (3 papers)Nature Communications (3 papers)Genetics (2 papers)
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Roger Pocock
65 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 129
- Aging 587
- Structural Biology 69
- Endocrine and Autonomic Systems 262
- Cancer Research 244
- Cell Biology 229
Countries citing papers authored by Roger Pocock
This map shows the geographic impact of Roger Pocock'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 Roger Pocock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Pocock more than expected).
Fields of papers citing papers by Roger Pocock
This network shows the impact of papers produced by Roger Pocock. 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 Roger Pocock. The network helps show where Roger Pocock may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Pocock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 293 | |
| 2 | 2012 | 151 | |
| 3 | 2010 | 100 | |
| 4 | 2009 | 90 | |
| 5 | 2008 | 85 | |
| 6 | 2019 | 82 | |
| 7 | 2015 | 72 | |
| 8 | 2013 | 69 | |
| 9 | 2011 | 67 | |
| 10 | 2012 | 66 | |
| 11 | 2015 | 60 | |
| 12 | 2009 | 53 | |
| 13 | 2015 | 50 | |
| 14 | 2016 | 48 | |
| 15 | 2007 | 48 | |
| 16 | 2018 | 46 | |
| 17 | 2004 | 42 | |
| 18 | 2006 | 42 | |
| 19 | 2012 | 36 | |
| 20 | 2019 | 32 |
About Roger Pocock
Roger Pocock is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (46 papers), Circadian rhythm and melatonin (13 papers), Pluripotent Stem Cells Research (10 papers), Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (7 papers), MicroRNA in disease regulation (6 papers), Reproductive Biology and Fertility (6 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Aging (587 citations), Structural Biology (69 citations), Endocrine and Autonomic Systems (262 citations), Cancer Research (244 citations) and Cell Biology (229 citations). Roger Pocock has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include Oliver Hobert, Michelle Watts, Charles Claudianos, Konstantinos Kagias, Sandeep Gopal, John Couchman, Hinke A.B. Multhaupt, Agnieszka Podolska, Matilda Haas and Gregory M. Davis. Their work appears in journals such as Scientific Reports, eLife, PLoS Genetics, Nature Communications and Genetics.
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.