Diogo Barardo
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 14
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 5
- Physiology top 10%
- Telomeres, Telomerase, and Senescence 4
- Diet and metabolism studies 2
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- Epigenetics and DNA Methylation 4
- Bioinformatics and Genomic Networks 2
- Advanced biosensing and bioanalysis techniques 2
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- Chromosomal and Genetic Variations 2
- Co-authors
- João Pedro de MagalhãesDaniel ThorntonRobi TăcutuVadim E. FraifeldJingwei WangArie BudovskyDmitri TorenGilad Lehmann
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Diogo Barardo
19 papers receiving 973 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 399
- Endocrine and Autonomic Systems 80
- Biological Psychiatry 28
- Physiology 244
- Molecular Biology 487
Countries citing papers authored by Diogo Barardo
This map shows the geographic impact of Diogo Barardo'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 Diogo Barardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diogo Barardo more than expected).
Fields of papers citing papers by Diogo Barardo
This network shows the impact of papers produced by Diogo Barardo. 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 Diogo Barardo. The network helps show where Diogo Barardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diogo Barardo, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 36 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 51 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 31 | |
| 12 | 2019 | 55 | |
| 13 | 2018 | 7 | |
| 14 | 2018 | 64 | |
| 15 | Human Ageing Genomic Resources: new and updated databasesbreakdown → | 2017 | 461 |
| 16 | 2017 | 31 | |
| 17 | 2017 | 114 | |
| 18 | 2016 | 64 | |
| 19 | Systematic analysis of the gerontome reveals links between aging and age-related diseasesSystematic analysis of the gerontome reveals links between aging and age-related diseases | 2016 | 1 |
About Diogo Barardo
Diogo Barardo is a scholar working on Aging, Endocrine and Autonomic Systems and Neuropsychology and Physiological Psychology, having authored 19 papers that have together received 981 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (5 papers), Epigenetics and DNA Methylation (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers), Diet and metabolism studies (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Aging (399 citations), Endocrine and Autonomic Systems (80 citations) and Biological Psychiatry (28 citations). Diogo Barardo has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include João Pedro de Magalhães, Daniel Thornton, Robi Tăcutu, Vadim E. Fraifeld, Jingwei Wang, Arie Budovsky, Dmitri Toren, Gilad Lehmann, Emily Johnson and Thomas Craig. Their work appears in journals such as Aging, eLife, GeroScience, Nucleic Acids Research and Scientific Reports.
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.