Heidi Scrable

5.8k total citations · 1 hit paper
51 papers, 4.6k citations indexed

About

Heidi Scrable is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Heidi Scrable has authored 51 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Heidi Scrable's work include Cancer-related Molecular Pathways (15 papers), Epigenetics and DNA Methylation (12 papers) and Sarcoma Diagnosis and Treatment (6 papers). Heidi Scrable is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), Epigenetics and DNA Methylation (12 papers) and Sarcoma Diagnosis and Treatment (6 papers). Heidi Scrable collaborates with scholars based in United States, Canada and Belgium. Heidi Scrable's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Heidi Scrable

50 papers receiving 4.5k citations

Hit Papers

Fat tissue, aging, and cellular senescence 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heidi Scrable United States 31 2.3k 1.1k 1.0k 629 607 51 4.6k
Donal MacGrogan United States 30 2.1k 0.9× 564 0.5× 456 0.5× 699 1.1× 439 0.7× 45 3.9k
Robert A. Screaton Canada 33 3.9k 1.7× 745 0.7× 955 0.9× 257 0.4× 527 0.9× 57 6.3k
Madeleine E. Lemieux United States 33 4.3k 1.8× 1.2k 1.2× 1.1k 1.1× 299 0.5× 746 1.2× 67 7.3k
Carlo Gaetano Italy 50 4.1k 1.8× 755 0.7× 544 0.5× 279 0.4× 255 0.4× 149 6.1k
Michela Palmieri United States 30 2.5k 1.1× 1.4k 1.3× 765 0.8× 214 0.3× 2.5k 4.1× 53 6.1k
Jan Törnell Sweden 36 3.6k 1.5× 1.3k 1.2× 575 0.6× 611 1.0× 431 0.7× 81 6.9k
Pascale Cervera France 26 1.4k 0.6× 1.1k 1.0× 369 0.4× 281 0.4× 315 0.5× 69 3.8k
Antonella Farsetti Italy 38 2.1k 0.9× 642 0.6× 514 0.5× 344 0.5× 221 0.4× 99 4.1k
Ander Matheu Spain 36 2.7k 1.2× 776 0.7× 776 0.8× 192 0.3× 270 0.4× 97 4.2k
Christopher Cardozo United States 39 3.0k 1.3× 1.0k 1.0× 584 0.6× 195 0.3× 432 0.7× 153 5.0k

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-authorship network of co-authors of Heidi Scrable

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Scrable. A scholar is included among the top collaborators of Heidi Scrable based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heidi Scrable. Heidi Scrable is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Podratz, Jewel L., et al.. (2017). Mechano growth factor, a splice variant of IGF-1, promotes neurogenesis in the aging mouse brain. Molecular Brain. 10(1). 23–23. 12 indexed citations
2.
Takahashi, Rie, Svetomir N. Markovic, & Heidi Scrable. (2013). Dominant Effects of Δ40p53 on p53 Function and Melanoma Cell Fate. Journal of Investigative Dermatology. 134(3). 791–800. 30 indexed citations
3.
Gambino, Valentina, Valentina Dall’Olio, Loris Bernard, et al.. (2013). Oxidative stress activates a specific p53 transcriptional response that regulates cellular senescence and aging. Aging Cell. 12(3). 435–445. 125 indexed citations
4.
Stevenson, Mark, Robert Carlisle, Benjamin Davies, et al.. (2013). Development of a Positive-readout Mouse Model of siRNA Pharmacodynamics. Molecular Therapy — Nucleic Acids. 2. e133–e133. 8 indexed citations
5.
Jung, Dae Young, Hwi Jin Ko, Helena Ong, et al.. (2012). Glucose Tolerance in Mice is Linked to the Dose of the p53 Transactivation Domain. Endocrine Research. 38(3). 139–150. 23 indexed citations
6.
Tchkonia, Tamar, Dean E. Morbeck, Thomas von Zglinicki, et al.. (2010). Fat tissue, aging, and cellular senescence. Aging Cell. 9(5). 667–684. 814 indexed citations breakdown →
7.
Pehar, Mariana, Kenneth J. O’Riordan, Matthew E. Andrzejewski, et al.. (2010). Altered longevity‐assurance activity of p53:p44 in the mouse causes memory loss, neurodegeneration and premature death. Aging Cell. 9(2). 174–190. 70 indexed citations
8.
Sasaki, Tsutomu, Bernhard Maier, M. Chruszcz, et al.. (2008). Phosphorylation Regulates SIRT1 Function. PLoS ONE. 3(12). e4020–e4020. 236 indexed citations
9.
Ungewitter, Erica & Heidi Scrable. (2008). Antagonistic pleiotropy and p53. Mechanisms of Ageing and Development. 130(1-2). 10–17. 55 indexed citations
10.
Kipnis, Jonathan, Noel Derecki, Chunhui Yang, & Heidi Scrable. (2008). Immunity and cognition: what do age-related dementia, HIV-dementia and ‘chemo-brain’ have in common?. Trends in Immunology. 29(10). 455–463. 66 indexed citations
11.
Iizuka, Masayoshi, et al.. (2007). Hbo1 Links p53-Dependent Stress Signaling to DNA Replication Licensing. Molecular and Cellular Biology. 28(1). 140–153. 52 indexed citations
12.
Sasaki, Tsutomu, Bernhard Maier, Andrzej Bartke, & Heidi Scrable. (2006). Progressive loss of SIRT1 with cell cycle withdrawal. Aging Cell. 5(5). 413–422. 187 indexed citations
13.
Costantini, Claudio, Heidi Scrable, & Luigi Puglielli. (2006). An aging pathway controls the TrkA to p75NTR receptor switch and amyloid β‐peptide generation. The EMBO Journal. 25(9). 1997–2006. 108 indexed citations
14.
Scrable, Heidi, Tsutomu Sasaki, & Bernhard Maier. (2005). ΔNp53 or p44: priming the p53 pump. The International Journal of Biochemistry & Cell Biology. 37(5). 913–919. 27 indexed citations
15.
Scrable, Heidi. (2002). Say when: reversible control of gene expression in the mouse by lac. Seminars in Cell and Developmental Biology. 13(2). 109–119. 11 indexed citations
16.
Scrable, Heidi & Peter J. Stambrook. (1999). A genetic program for deletion of foreign DNA from the mammalian genome. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 429(2). 225–237. 25 indexed citations
17.
Henry, Isabelle, Veronica van Heyningen, Anne Puech, et al.. (1993). Reassessment of breakpoints in chromosome 11p15. Cytogenetic and Genome Research. 62(1). 52–53. 3 indexed citations
18.
Daston, Maryellen M., Heidi Scrable, Michael L. Nordlund, et al.. (1992). The protein product of the neurofibromatosis type 1 gene is expressed at highest abundance in neurons, Schwann cells, and oligodendrocytes. Neuron. 8(3). 415–428. 240 indexed citations
19.
Scrable, Heidi, Carmen Sapienza, & Webster K. Cavenee. (1990). Genetic and Epigenetic Losses of Heterozygosity in Cancer Predisposition and Progression. Advances in cancer research. 54. 25–62. 64 indexed citations
20.
Scrable, Heidi, David P. Witte, Hiroyuki Shimada, et al.. (1989). Molecular differential pathology of rhabdomyosarcoma. Genes Chromosomes and Cancer. 1(1). 23–35. 170 indexed citations

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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