Nathan Basisty
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
- Physiology 22
- Telomeres, Telomerase, and Senescence 15
- Adipose Tissue and Metabolism 5
- Co-authors
- Birgit SchillingLuigi FerrucciJudith CampisiPeter S. RabinovitchAnja HoltzAbhijit KaleSamah ShahVagisha Sharma
- Journals
- Aging Cell (7 papers)PROTEOMICS (4 papers)Journal of Visualized Experiments (4 papers)GeroScience (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Nathan Basisty
52 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 449
- Geriatrics and Gerontology 203
- Physiology 1.2k
- Molecular Biology 1.7k
- Biological Psychiatry 55
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | A proteomic atlas of senescence-associated secretomes for aging biomarker development Hit paper breakdown → | 2020 | 815 |
| 12 | 2020 | 14 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 52 | |
| 15 | 2019 | 36 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 23 | |
| 18 | 2019 | 104 | |
| 19 | 2015 | 27 | |
| 20 | 2014 | 255 |
About Nathan Basisty
Nathan Basisty is a scholar working on Aging, Physiology, Geriatrics and Gerontology, Spectroscopy and Cell Biology, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Telomeres, Telomerase, and Senescence (15 papers), Mitochondrial Function and Pathology (13 papers), Advanced Proteomics Techniques and Applications (11 papers), GDF15 and Related Biomarkers (8 papers), Peptidase Inhibition and Analysis (5 papers), Adipose Tissue and Metabolism (5 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Aging (449 citations), Geriatrics and Gerontology (203 citations), Physiology (1.2k citations), Molecular Biology (1.7k citations) and Biological Psychiatry (55 citations). Nathan Basisty has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Birgit Schilling, Luigi Ferrucci, Judith Campisi, Peter S. Rabinovitch, Anja Holtz, Abhijit Kale, Samah Shah, Vagisha Sharma, Chisaka Kuehnemann and Ok Hee Jeon. Their work appears in journals such as Aging Cell, PROTEOMICS, Journal of Visualized Experiments, GeroScience and PLoS ONE.
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.