Nadja Ring
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Mauro Giacca (5 shared papers)Jing Zhao (1 shared paper)Lana Corbo (1 shared paper)Jennifer L. Stripay (1 shared paper)Priscilla Tang (1 shared paper)Tamar Tchkonia (1 shared paper)Sara J. McGowan (1 shared paper)Yi Zhu (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Cell Death and Disease (2 papers)Developmental Cell (2 papers)Cell (1 paper)Orphanet Journal of Rare Diseases (1 paper)
- Partner nations
- ItalyAustriaUnited States
In The Last Decade
Nadja Ring
19 papers receiving 1.1k citations
Nadja Ring's Hit Papers
Peers
Comparison fields: 5 of 92
- Aging 153
- Physiology 525
- Endocrine and Autonomic Systems 62
- Geriatrics and Gerontology 31
- Immunology 149
Countries citing papers authored by Nadja Ring
This map shows the geographic impact of Nadja Ring'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 Nadja Ring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Ring more than expected).
Fields of papers citing papers by Nadja Ring
This network shows the impact of papers produced by Nadja Ring. 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 Nadja Ring. The network helps show where Nadja Ring may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadja Ring, 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 | Identification of HSP90 inhibitors as a novel class of senolytics Hit paper breakdown → | 2017 | 579 |
| 2 | Guidelines for minimal information on cellular senescence experimentation in vivo Hit paper breakdown → | 2024 | 200 |
| 3 | 2015 | 57 | |
| 4 | 2019 | 50 | |
| 5 | 2022 | 46 | |
| 6 | 2021 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2023 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2019 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2026 | 1 | |
| 20 | 2025 | 0 |
About Nadja Ring
Nadja Ring is a scholar working on Aging, Physiology, Cancer Research, Rehabilitation and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Circular RNAs in diseases (2 papers), Circadian rhythm and melatonin (2 papers), Virus-based gene therapy research (2 papers), Wound Healing and Treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Aging (153 citations), Physiology (525 citations), Endocrine and Autonomic Systems (62 citations), Geriatrics and Gerontology (31 citations) and Immunology (149 citations). Nadja Ring has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Mauro Giacca, Jing Zhao, Lana Corbo, Jennifer L. Stripay, Priscilla Tang, Tamar Tchkonia, Sara J. McGowan, Yi Zhu, Heike Fuhrmann‐Stroissnigg and Akaitz Dorronsoro. Their work appears in journals such as Molecular Therapy, Cell Death and Disease, Developmental Cell, Cell and Orphanet Journal of Rare Diseases.
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.