Nathan Basisty
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Mitochondrial Function and Pathology 12
- Physiology 23
- Telomeres, Telomerase, and Senescence 16
- Adipose Tissue and Metabolism 5
- Co-authors
- Birgit Schilling (32 shared papers)Luigi Ferrucci (9 shared papers)Judith Campisi (7 shared papers)Anja Holtz (8 shared papers)Peter S. Rabinovitch (13 shared papers)Abhijit Kale (3 shared papers)Samah Shah (6 shared papers)Chirag Rao (2 shared papers)
- Journals
- Aging Cell (7 papers)Journal of Visualized Experiments (4 papers)PROTEOMICS (4 papers)PLoS ONE (3 papers)GeroScience (3 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Nathan Basisty
53 papers receiving 3.2k citations
Nathan Basisty's Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 439
- Geriatrics and Gerontology 191
- Physiology 1.1k
- Molecular Biology 1.6k
- Biological Psychiatry 50
Countries citing papers authored by Nathan Basisty
This map shows the geographic impact of Nathan Basisty'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 Basisty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Basisty more than expected).
Fields of papers citing papers by Nathan Basisty
This network shows the impact of papers produced by Nathan Basisty. 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 Basisty. The network helps show where Nathan Basisty may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Basisty, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A proteomic atlas of senescence-associated secretomes for aging biomarker development Hit paper breakdown → | 2020 | 862 |
| 2 | 2014 | 260 | |
| 3 | 2019 | 137 | |
| 4 | 2021 | 132 | |
| 5 | 2013 | 122 | |
| 6 | 2022 | 120 | |
| 7 | 2019 | 119 | |
| 8 | 2020 | 115 | |
| 9 | 2015 | 112 | |
| 10 | 2016 | 112 | |
| 11 | 2019 | 104 | |
| 12 | 2021 | 93 | |
| 13 | 2019 | 82 | |
| 14 | 2018 | 77 | |
| 15 | 2015 | 62 | |
| 16 | 2015 | 60 | |
| 17 | 2015 | 57 | |
| 18 | 2011 | 54 | |
| 19 | 2020 | 53 | |
| 20 | 2020 | 47 |
About Nathan Basisty
Nathan Basisty is a scholar working on Molecular Biology, Physiology, Aging, Spectroscopy and Cell Biology, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (16 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers), Mitochondrial Function and Pathology (12 papers), Advanced Proteomics Techniques and Applications (11 papers), GDF15 and Related Biomarkers (7 papers), Adipose Tissue and Metabolism (5 papers), Peptidase Inhibition and Analysis (5 papers) and Muscle metabolism and nutrition (4 papers). The work is most often cited by research in Aging (439 citations), Geriatrics and Gerontology (191 citations), Physiology (1.1k citations), Molecular Biology (1.6k citations) and Biological Psychiatry (50 citations). Nathan Basisty has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Birgit Schilling, Luigi Ferrucci, Judith Campisi, Anja Holtz, Peter S. Rabinovitch, Abhijit Kale, Samah Shah, Chirag Rao, Chisaka Kuehnemann and Ok Hee Jeon. Their work appears in journals such as Aging Cell, Journal of Visualized Experiments, PROTEOMICS, PLoS ONE and GeroScience.
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.