Joanna Bons
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Mitochondrial Function and Pathology 3
- Physiology 10
- Telomeres, Telomerase, and Senescence 5
- Adipose Tissue and Metabolism 4
- Co-authors
- Birgit Schilling (31 shared papers)Jacob Rose (19 shared papers)Christine Carapito (7 shared papers)Sarah Cianférani (6 shared papers)Christina D. King (4 shared papers)H G van den Brink (1 shared paper)Ruud J.T. Smeenk (1 shared paper)Sandip Kumar Patel (4 shared papers)
- Journals
- PROTEOMICS (4 papers)Molecular & Cellular Proteomics (2 papers)Bone Research (2 papers)Aging (2 papers)Biomolecules (2 papers)
- Partner nations
- United StatesFranceChile
In The Last Decade
Joanna Bons
36 papers receiving 385 citations
Peers
Comparison fields: 5 of 84
- Geriatrics and Gerontology 26
- Biological Psychiatry 8
- Developmental Neuroscience 12
- Molecular Biology 169
- Clinical Biochemistry 16
Countries citing papers authored by Joanna Bons
This map shows the geographic impact of Joanna Bons'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 Joanna Bons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Bons more than expected).
Fields of papers citing papers by Joanna Bons
This network shows the impact of papers produced by Joanna Bons. 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 Joanna Bons. The network helps show where Joanna Bons may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanna Bons, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 35 | |
| 2 | 2023 | 32 | |
| 3 | 2020 | 23 | |
| 4 | 2023 | 23 | |
| 5 | 1986 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2024 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Joanna Bons
Joanna Bons is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 40 papers that have together received 390 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (7 papers), Telomeres, Telomerase, and Senescence (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism and Genetic Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Biological Psychiatry (8 citations), Developmental Neuroscience (12 citations), Molecular Biology (169 citations) and Clinical Biochemistry (16 citations). Joanna Bons has collaborated with scholars based in United States, France and Chile. Frequent co-authors include Birgit Schilling, Jacob Rose, Christine Carapito, Sarah Cianférani, Christina D. King, H G van den Brink, Ruud J.T. Smeenk, Sandip Kumar Patel, L Aarden and Eric Verdin. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, Bone Research, Aging and Biomolecules.
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.