Larissa Prata
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Telomeres, Telomerase, and Senescence 6
- Adipose Tissue and Metabolism 2
- Co-authors
- James L. Kirkland (12 shared papers)Tamar Tchkonia (12 shared papers)Inna G. Ovsyannikova (1 shared paper)Stephen B. Kritchevsky (3 shared papers)Nicolas Musi (3 shared papers)Anoop M. Nambiar (4 shared papers)Nathan K. LeBrasseur (4 shared papers)Michał M. Masternak (4 shared papers)
- Journals
- EBioMedicine (3 papers)Aging (2 papers)Scientific Reports (1 paper)PLoS Biology (1 paper)Clinical Nutrition (1 paper)
- Partner nations
- United StatesBrazilPoland
In The Last Decade
Larissa Prata
14 papers receiving 1.8k citations
Larissa Prata's Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 270
- Physiology 962
- Geriatrics and Gerontology 82
- Immunology 420
- Biological Psychiatry 43
Countries citing papers authored by Larissa Prata
This map shows the geographic impact of Larissa Prata'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 Larissa Prata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larissa Prata more than expected).
Fields of papers citing papers by Larissa Prata
This network shows the impact of papers produced by Larissa Prata. 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 Larissa Prata. The network helps show where Larissa Prata may publish in the future.
Co-authors
The 25 scholars most cited alongside Larissa Prata, 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 | Senolytics in idiopathic pulmonary fibrosis: Results from a first-in-human, open-label, pilot study Hit paper breakdown → | 2019 | 837 |
| 2 | Senescent cell clearance by the immune system: Emerging therapeutic opportunities Hit paper breakdown → | 2018 | 353 |
| 3 | 2019 | 236 | |
| 4 | Senolytics dasatinib and quercetin in idiopathic pulmonary fibrosis: results of a phase I, single-blind, single-center, randomized, placebo-controlled pilot trial on feasibility and tolerability Hit paper breakdown → | 2023 | 140 |
| 5 | 2016 | 108 | |
| 6 | 2021 | 60 | |
| 7 | 2014 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2023 | 14 | |
| 10 | 2015 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 0 |
About Larissa Prata
Larissa Prata is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Epidemiology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Lipid metabolism and biosynthesis (2 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers), Wound Healing and Treatments (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Aging (270 citations), Physiology (962 citations), Geriatrics and Gerontology (82 citations), Immunology (420 citations) and Biological Psychiatry (43 citations). Larissa Prata has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include James L. Kirkland, Tamar Tchkonia, Inna G. Ovsyannikova, Stephen B. Kritchevsky, Nicolas Musi, Anoop M. Nambiar, Nathan K. LeBrasseur, Michał M. Masternak, Rodolfo M. Pascual and Jamie N. Justice. Their work appears in journals such as EBioMedicine, Aging, Scientific Reports, PLoS Biology and Clinical Nutrition.
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.