Heidi Scrable

51 papers receiving 4.7k citations

Heidi Scrable's Hit Papers

Fat tissue, aging, and cellular senescence 2010 · 854 citations
8540+5+10Years since publication250500750

Peers

Heidi Scrable
Comparison fields: 5 of 123
  • Aging 279
  • Geriatrics and Gerontology 343
  • Physiology 1.0k
  • Oncology 1.0k
  • Developmental Neuroscience 144
Replace Ander Matheu with:
Ander Matheu Spain
Carlo Gaetano Italy
Donal MacGrogan United States
Ji-Hye Paik United States
Tuong Huynh United States
Michela Palmieri United States
Christine Miller United States
Ergün Sahin United States
Antonella Farsetti Italy
Robert A. Screaton Canada
Heidi Scrable relative to Ander Matheu Spain Ander Matheu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heidi Scrable

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Heidi Scrable Line = papers co-authored together Heidi Scrable links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fat tissue, aging, and cellular senescence
Hit paper breakdown →
2010854
2 2004470
3 1992261
4 1990252
5 2008249
6 1987239
7 1989226
8 2006200
9 1989186
10 2005142
11 2013130
12 2001128
13 2006115
14 1997114
15
Muscle-specific gene expression in rhabdomyosarcomas and stages of human fetal skeletal muscle development.
1991102
16 199293
17 201084
18 201076
19 200872
20 199067

About Heidi Scrable

Heidi Scrable is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Epigenetics and DNA Methylation (12 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (5 papers), Tumors and Oncological Cases (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Aging (279 citations), Geriatrics and Gerontology (343 citations), Physiology (1.0k citations), Oncology (1.0k citations) and Developmental Neuroscience (144 citations). Heidi Scrable has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Webster K. Cavenee, Bernhard Maier, Dean E. Morbeck, Joseph Lustgarten, James L. Kirkland, Michael D. Jensen, Sundeep Khosla, Jan van Deursen, Thomas von Zglinicki and Tamar Tchkonia. 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 Molecular Imaging.

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.

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