Sara Hägg
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.2%
- Frailty in Older Adults
Papers in
-
- Frailty in Older Adults 35
- Aging 12
- Genetics, Aging, and Longevity in Model Organisms 12
- Co-authors
- Juulia JylhäväNancy L. PedersenYunzhang WangYiqiang ZhanChandra A. ReynoldsDylan M. WilliamsPatrik K. E. MagnussonIda Karlsson
- Journals
- GeroScience (7 papers)Clinical Epigenetics (6 papers)The Journals of Gerontology Series A (6 papers)EBioMedicine (5 papers)Aging Cell (5 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Sara Hägg
125 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Aging 499
- Geriatrics and Gerontology 825
- Physiology 1.5k
- Neuropsychology and Physiological Psychology 65
- Biological Psychiatry 77
Countries citing papers authored by Sara Hägg
This map shows the geographic impact of Sara Hägg'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 Sara Hägg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Hägg more than expected).
Fields of papers citing papers by Sara Hägg
This network shows the impact of papers produced by Sara Hägg. 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 Sara Hägg. The network helps show where Sara Hägg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sara Hägg, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 9 | |
| 15 | A genome‐wide association study of the frailty index highlights brain pathways in ageing Hit paper breakdown → | 2021 | 179 |
| 16 | 2021 | 7 | |
| 17 | 2020 | 32 | |
| 18 | 2020 | 39 | |
| 19 | 2018 | 62 | |
| 20 | Longitudinal decline of leukocyte telomere length in old age and the association with sex and genetic risk | 2016 | 1 |
About Sara Hägg
Sara Hägg is a scholar working on Geriatrics and Gerontology, Aging, Physiology, Pediatrics, Perinatology and Child Health and Genetics, having authored 135 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (38 papers), Frailty in Older Adults (35 papers), Nutrition and Health in Aging (22 papers), Birth, Development, and Health (19 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers), Telomeres, Telomerase, and Senescence (17 papers), Genetic Associations and Epidemiology (17 papers) and Genetics, Aging, and Longevity in Model Organisms (12 papers). The work is most often cited by research in Aging (499 citations), Geriatrics and Gerontology (825 citations), Physiology (1.5k citations), Neuropsychology and Physiological Psychology (65 citations) and Biological Psychiatry (77 citations). Sara Hägg has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Juulia Jylhävä, Nancy L. Pedersen, Yunzhang Wang, Yiqiang Zhan, Chandra A. Reynolds, Dylan M. Williams, Patrik K. E. Magnusson, Ida Karlsson, Fang Fang and Alexander Ploner. Their work appears in journals such as GeroScience, Clinical Epigenetics, The Journals of Gerontology Series A, EBioMedicine and Aging Cell.
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.