Jayne M. Stommel

8.3k total citations · 5 hit papers
29 papers, 6.4k citations indexed

About

Jayne M. Stommel is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jayne M. Stommel has authored 29 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jayne M. Stommel's work include Cancer-related Molecular Pathways (9 papers), DNA Repair Mechanisms (5 papers) and Cancer Mechanisms and Therapy (3 papers). Jayne M. Stommel is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), DNA Repair Mechanisms (5 papers) and Cancer Mechanisms and Therapy (3 papers). Jayne M. Stommel collaborates with scholars based in United States, Canada and Australia. Jayne M. Stommel's co-authors include Geoffrey M. Wahl, Ronald A. DePinho, Cameron Brennan, Keith L. Ligon, Lynda Chin, Alexander H. Stegh, Alec C. Kimmelman, Haoqiang Ying, Frank B. Furnari and Webster K. Cavenee and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Jayne M. Stommel

26 papers receiving 6.3k citations

Hit Papers

Malignant astrocytic glioma: genetics, biology, and paths... 1999 2026 2008 2017 2007 2011 2007 1999 2008 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Malignant astrocytic glioma: genetics, biology, and paths to treatment
    2007 1.8k citations Frank B. Furnari, Tim R. Fenton et al. Genes & Development profile →
  2. Pancreatic cancers require autophagy for tumor growth
    2011 1.2k citations Shenghong Yang, Xiaoxu Wang et al. Genes & Development profile →
  3. Coactivation of Receptor Tyrosine Kinases Affects the Response of Tumor Cells to Targeted Therapies
    2007 699 citations Jayne M. Stommel, Alec C. Kimmelman et al. Science profile →
  4. A leucine-rich nuclear export signal in the p53 tetramerization domain: regulation of subcellular localization and p53 activity by NES masking
    1999 607 citations Jayne M. Stommel The EMBO Journal profile →
  5. p53 and Pten control neural and glioma stem/progenitor cell renewal and differentiation
    2008 573 citations Hongwu Zheng, Haoqiang Ying et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayne M. Stommel United States 20 4.3k 2.3k 1.7k 1.3k 976 29 6.4k
Benjamin Purow United States 34 4.4k 1.0× 1.7k 0.7× 3.1k 1.9× 1.7k 1.3× 423 0.4× 89 6.7k
Do‐Hyun Nam South Korea 43 3.6k 0.8× 2.4k 1.0× 2.2k 1.3× 2.2k 1.7× 371 0.4× 144 7.1k
Ichiro Nakano United States 43 4.7k 1.1× 1.8k 0.8× 3.0k 1.8× 1.8k 1.5× 357 0.4× 106 7.3k
Gerald C. Chu United States 26 3.7k 0.9× 2.2k 1.0× 1.1k 0.7× 373 0.3× 613 0.6× 30 5.7k
Russell O. Pieper United States 44 3.9k 0.9× 2.1k 0.9× 1.7k 1.0× 1.9k 1.5× 516 0.5× 105 6.7k
Qing Shi China 11 4.1k 0.9× 3.7k 1.6× 2.6k 1.6× 2.5k 2.0× 269 0.3× 19 7.5k
Jeongwu Lee United States 42 5.6k 1.3× 2.8k 1.2× 3.0k 1.8× 2.6k 2.1× 273 0.3× 57 9.2k
M. James You United States 36 4.5k 1.1× 2.1k 0.9× 2.5k 1.5× 873 0.7× 337 0.3× 129 7.3k
Domenico Delia Italy 43 4.2k 1.0× 2.5k 1.1× 1.2k 0.7× 447 0.4× 379 0.4× 125 6.9k
Oliver Bögler United States 35 3.8k 0.9× 1.0k 0.4× 1.3k 0.8× 728 0.6× 499 0.5× 86 5.5k

Countries citing papers authored by Jayne M. Stommel

Since Specialization
Citations

This map shows the geographic impact of Jayne M. Stommel'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 Jayne M. Stommel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayne M. Stommel more than expected).

Fields of papers citing papers by Jayne M. Stommel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayne M. Stommel. 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 Jayne M. Stommel. The network helps show where Jayne M. Stommel may publish in the future.

Co-authorship network of co-authors of Jayne M. Stommel

This figure shows the co-authorship network connecting the top 25 collaborators of Jayne M. Stommel. A scholar is included among the top collaborators of Jayne M. Stommel 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 Jayne M. Stommel. Jayne M. Stommel 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.
Lai, Hui‐Ling, Guannan Li, Qin Yu, et al.. (2025). Rictor orchestrates β-catenin/FOXO balance by maintaining redox homeostasis during development of ovarian cancer. Oncogene. 44(23). 1820–1832.
2.
Hu, Ya‐Mei, Faming Zhao, Julie N. Graff, et al.. (2025). Elevated Tumor-Associated Androgen Receptor Activity Correlates with Poor Immune Infiltration and Immunotherapy Response across Cancer Types. Cancer Research Communications. 6(1). 17–35.
3.
Stommel, Jayne M., Jamie M. Keck, David Kilburn, et al.. (2024). Exceptional Response to Trastuzumab Deruxtecan in a Patient With Recurrent Ovarian Clear Cell Carcinoma With Human Epidermal Growth Factor Receptor 2 Expression. JCO Precision Oncology. 8(8). e2300686–e2300686. 1 indexed citations
4.
Keck, Jamie M., Brett Johnson, Jayne M. Stommel, et al.. (2023). Serial multiomic analysis in advanced breast cancer: A novel platform to inform therapeutic decisions.. Journal of Clinical Oncology. 41(16_suppl). e13001–e13001. 2 indexed citations
5.
Patel, Deven, Fahim Ahmad, Qian Sun, et al.. (2019). LXRβ controls glioblastoma cell growth, lipid balance, and immune modulation independently of ABCA1. Scientific Reports. 9(1). 15458–15458. 19 indexed citations
6.
Eke, Iris, Adeola Y. Makinde, Molykutty J. Aryankalayil, et al.. (2017). Exploiting Radiation-Induced Signaling to Increase the Susceptibility of Resistant Cancer Cells to Targeted Drugs: AKT and mTOR Inhibitors as an Example. Molecular Cancer Therapeutics. 17(2). 355–367. 26 indexed citations
7.
Porter, Joshua R., Brian E. Fisher, Laura Baranello, et al.. (2017). Global Inhibition with Specific Activation: How p53 and MYC Redistribute the Transcriptome in the DNA Double-Strand Break Response. Molecular Cell. 67(6). 1013–1025.e9. 56 indexed citations
8.
Gao, Shaojian, et al.. (2017). CRISPR/Cas9-mediated gene knockout is insensitive to target copy number but is dependent on guide RNA potency and Cas9/sgRNA threshold expression level. Nucleic Acids Research. 45(20). 12039–12053. 57 indexed citations
9.
Yang, Shenghong, Xiaoxu Wang, Gianmarco Contino, et al.. (2011). Pancreatic cancers require autophagy for tumor growth. Genes & Development. 25(7). 717–729. 1163 indexed citations breakdown →
10.
Nitta, Masayuki, David Kozono, Richard D. Kennedy, et al.. (2010). Targeting EGFR Induced Oxidative Stress by PARP1 Inhibition in Glioblastoma Therapy. PLoS ONE. 5(5). e10767–e10767. 50 indexed citations
11.
Zheng, Hongwu, Haoqiang Ying, Hai Yan, et al.. (2008). Pten and p53 Converge on c-Myc to Control Differentiation, Self-renewal, and Transformation of Normal and Neoplastic Stem Cells in Glioblastoma. Cold Spring Harbor Symposia on Quantitative Biology. 73(0). 427–437. 103 indexed citations
12.
Stommel, Jayne M., Alec C. Kimmelman, Haoqiang Ying, et al.. (2007). Coactivation of Receptor Tyrosine Kinases Affects the Response of Tumor Cells to Targeted Therapies. Science. 318(5848). 287–290. 699 indexed citations breakdown →
13.
Furnari, Frank B., Tim R. Fenton, Robert Bachoo, et al.. (2007). Malignant astrocytic glioma: genetics, biology, and paths to treatment. Genes & Development. 21(21). 2683–2710. 1804 indexed citations breakdown →
14.
Carrasco, Daniel R., Tim R. Fenton, Kumar Sukhdeo, et al.. (2006). The PTEN and INK4A/ARF tumor suppressors maintain myelolymphoid homeostasis and cooperate to constrain histiocytic sarcoma development in humans. Cancer Cell. 9(5). 379–390. 47 indexed citations
15.
Carrasco, Daniel R., Tim R. Fenton, Kumar Sukhdeo, et al.. (2006). The PTEN and INK4A/ARF tumor suppressors maintain myelolymphoid homeostasis and cooperate to constrain histiocytic sarcoma development in humans. Cancer Cell. 10(2). 171–171. 3 indexed citations
16.
Stommel, Jayne M. & Geoffrey M. Wahl. (2005). A New Twist in the Feedback Loop: Stress-Activated MDM2 Destabilization is Required for p53 Activation. Cell Cycle. 4(3). 411–417. 73 indexed citations
17.
Stommel, Jayne M. & Geoffrey M. Wahl. (2004). Accelerated MDM2 auto‐degradation induced by DNA‐damage kinases is required for p53 activation. The EMBO Journal. 23(7). 1547–1556. 309 indexed citations
18.
Jimenez, Gretchen S., et al.. (2000). A transactivation-deficient mouse model provides insights into Trp53 regulation and function. Nature Genetics. 26(1). 37–43. 172 indexed citations
19.
Stommel, Jayne M.. (1999). A leucine-rich nuclear export signal in the p53 tetramerization domain: regulation of subcellular localization and p53 activity by NES masking. The EMBO Journal. 18(6). 1660–1672. 607 indexed citations breakdown →
20.
Jimenez, Gretchen S., et al.. (1999). p53 regulation by post-translational modification and nuclear retention in response to diverse stresses. Oncogene. 18(53). 7656–7665. 155 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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