Heidi Scrable
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
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- Neurogenesis and neuroplasticity mechanisms 6
- Co-authors
- Webster K. CaveneeBernhard MaierJoseph LustgartenTamar TchkoniaMichael D. JensenJan van DeursenDean E. MorbeckJames L. Kirkland
- Journals
- Aging Cell (5 papers)Proceedings of the National Academy of Sciences (4 papers)Genes & Development (3 papers)Mutation research. Fundamental and molecular mechanisms of mutagenesis (2 papers)Biology of Reproduction (2 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Heidi Scrable
50 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Aging 278
- Geriatrics and Gerontology 346
- Physiology 1.1k
- Oncology 1.0k
- Developmental Neuroscience 143
Countries citing papers authored by Heidi Scrable
This map shows the geographic impact of Heidi Scrable'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 Heidi Scrable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Scrable more than expected).
Fields of papers citing papers by Heidi Scrable
This network shows the impact of papers produced by Heidi Scrable. 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 Heidi Scrable. The network helps show where Heidi Scrable may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heidi Scrable, 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 | 2017 | 12 | |
| 2 | 2013 | 30 | |
| 3 | 2013 | 125 | |
| 4 | 2013 | 8 | |
| 5 | 2012 | 23 | |
| 6 | Fat tissue, aging, and cellular senescence Hit paper breakdown → | 2010 | 814 |
| 7 | 2010 | 70 | |
| 8 | 2008 | 236 | |
| 9 | 2008 | 55 | |
| 10 | 2008 | 66 | |
| 11 | 2007 | 52 | |
| 12 | 2006 | 187 | |
| 13 | 2006 | 108 | |
| 14 | 2005 | 27 | |
| 15 | 2002 | 11 | |
| 16 | 1999 | 25 | |
| 17 | 1993 | 3 | |
| 18 | 1992 | 240 | |
| 19 | 1990 | 64 | |
| 20 | 1989 | 170 |
About Heidi Scrable
Heidi Scrable is a scholar working on Aging, Developmental Neuroscience, Cancer Research, Oncology and Geriatrics and Gerontology, having authored 51 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), Epigenetics and DNA Methylation (12 papers), Sarcoma Diagnosis and Treatment (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Cancer Genomics and Diagnostics (5 papers), Tumors and Oncological Cases (5 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Aging (278 citations), Geriatrics and Gerontology (346 citations), Physiology (1.1k citations), Oncology (1.0k citations) and Developmental Neuroscience (143 citations). Heidi Scrable has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Webster K. Cavenee, Bernhard Maier, Joseph Lustgarten, Tamar Tchkonia, Michael D. Jensen, Jan van Deursen, Dean E. Morbeck, James L. Kirkland, Sundeep Khosla and Thomas von Zglinicki. Their work appears in journals such as Aging Cell, Proceedings of the National Academy of Sciences, Genes & Development, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Biology of Reproduction.
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.