Simon C. Johnson
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
Papers in
-
- Mitochondrial Function and Pathology 22
- ATP Synthase and ATPases Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
- Co-authors
- Peter S. Rabinovitch (8 shared papers)Matt Kaeberlein (9 shared papers)Dao‐Fu Dai (2 shared papers)Hazel H. Szeto (1 shared paper)Tony Chen (1 shared paper)Margaret M. Sedensky (13 shared papers)Philip G. Morgan (15 shared papers)Maya Sangesland (3 shared papers)
- Journals
- Orphanet Journal of Rare Diseases (4 papers)Current Protocols in Cytometry (2 papers)PLoS ONE (2 papers)Science (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Simon C. Johnson
41 papers receiving 3.5k citations
Simon C. Johnson's Hit Papers
Peers
Comparison fields: 5 of 128
- Aging 654
- Geriatrics and Gerontology 153
- Clinical Biochemistry 234
- Physiology 804
- Endocrine and Autonomic Systems 188
Countries citing papers authored by Simon C. Johnson
This map shows the geographic impact of Simon C. Johnson'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 Simon C. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon C. Johnson more than expected).
Fields of papers citing papers by Simon C. Johnson
This network shows the impact of papers produced by Simon C. Johnson. 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 Simon C. Johnson. The network helps show where Simon C. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon C. Johnson, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | mTOR is a key modulator of ageing and age-related disease Hit paper breakdown → | 2013 | 1278 |
| 2 | 2011 | 422 | |
| 3 | 2013 | 410 | |
| 4 | 2012 | 246 | |
| 5 | 2015 | 164 | |
| 6 | 2014 | 111 | |
| 7 | 2013 | 104 | |
| 8 | 2014 | 76 | |
| 9 | 2015 | 72 | |
| 10 | 2018 | 66 | |
| 11 | 2015 | 64 | |
| 12 | 2020 | 55 | |
| 13 | 2016 | 48 | |
| 14 | 2013 | 44 | |
| 15 | 2018 | 40 | |
| 16 | 2022 | 38 | |
| 17 | 2012 | 36 | |
| 18 | 2018 | 34 | |
| 19 | 2022 | 33 | |
| 20 | 2023 | 31 |
About Simon C. Johnson
Simon C. Johnson is a scholar working on Molecular Biology, Aging, Clinical Biochemistry, Physiology and Developmental Neuroscience, having authored 42 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Metabolism and Genetic Disorders (7 papers), Anesthesia and Neurotoxicity Research (4 papers), Anesthesia and Sedative Agents (3 papers), ATP Synthase and ATPases Research (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Aging (654 citations), Geriatrics and Gerontology (153 citations), Clinical Biochemistry (234 citations), Physiology (804 citations) and Endocrine and Autonomic Systems (188 citations). Simon C. Johnson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter S. Rabinovitch, Matt Kaeberlein, Dao‐Fu Dai, Hazel H. Szeto, Tony Chen, Margaret M. Sedensky, Philip G. Morgan, Maya Sangesland, Jason J. Villarin and Gerald W. Dorn. Their work appears in journals such as Orphanet Journal of Rare Diseases, Current Protocols in Cytometry, PLoS ONE, Science and Frontiers in 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.