Peter Canoll

22.1k total citations · 6 hit papers
232 papers, 12.5k citations indexed

About

Peter Canoll is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Peter Canoll has authored 232 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Genetics, 84 papers in Molecular Biology and 42 papers in Cancer Research. Recurrent topics in Peter Canoll's work include Glioma Diagnosis and Treatment (118 papers), Neurogenesis and neuroplasticity mechanisms (22 papers) and Cancer, Hypoxia, and Metabolism (18 papers). Peter Canoll is often cited by papers focused on Glioma Diagnosis and Treatment (118 papers), Neurogenesis and neuroplasticity mechanisms (22 papers) and Cancer, Hypoxia, and Metabolism (18 papers). Peter Canoll collaborates with scholars based in United States, Germany and United Kingdom. Peter Canoll's co-authors include Jeffrey N. Bruce, Marcela C. Assanah, J M Musacchio, James E. Goldman, Mo Chen, Charles J. David, James L. Manley, Joseph Schlessinger, Elior Peles and Gregory D. Plowman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter Canoll

226 papers receiving 12.4k citations

Hit Papers

5 papers align trajectories

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.

Protein tyrosine kinase PYK2 involved in Ca2+-induced regulation of ion channel and MAP kinase functions

1995 1.2k citations Peter Canoll et al. profile →
HnRNP proteins controlled by c-Myc deregulate pyruvate kinase mRNA splicing in cancer

2009 916 citations Marcela C. Assanah, Peter Canoll et al. profile →
Transferrin Receptor Is a Specific Ferroptosis Marker

2020 640 citations Pavan S. Upadhyayula, Peter Canoll et al. profile →
Radiation-Induced Lipid Peroxidation Triggers Ferroptosis and Synergizes with Ferroptosis Inducers

2020 399 citations Connor J. Kinslow, Pavan S. Upadhyayula et al. profile →
How COVID-19 Affects the Brain

2021 273 citations Peter Canoll et al. profile →
Non-cell-autonomous disruption of nuclear architecture as a potential cause of COVID-19-induced anosmia

2022 168 citations Peter Canoll et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Canoll United States	59	6.2k	3.2k	2.7k	1.8k	1.6k	232	12.5k
Michel Mittelbronn Germany	54	4.5k 0.7×	2.3k 0.7×	1.7k 0.6×	1.7k 1.0×	1.1k 0.7×	299	11.0k
Robert Bachoo United States	43	7.6k 1.2×	2.8k 0.9×	3.3k 1.2×	2.1k 1.2×	778 0.5×	80	13.0k
Craig Horbinski United States	56	4.5k 0.7×	3.7k 1.2×	2.5k 0.9×	1.7k 0.9×	1.7k 1.0×	213	10.6k
Scott R. VandenBerg United States	56	4.8k 0.8×	4.5k 1.4×	2.7k 1.0×	1.7k 0.9×	1.7k 1.1×	152	11.9k
Jeffrey N. Bruce United States	61	3.8k 0.6×	4.6k 1.4×	1.6k 0.6×	2.3k 1.3×	1.6k 1.0×	316	12.6k
Karl H. Plate Germany	68	10.8k 1.7×	2.6k 0.8×	6.0k 2.2×	3.1k 1.7×	1.8k 1.1×	159	17.1k
Rolf Bjerkvig Norway	59	6.3k 1.0×	3.8k 1.2×	3.3k 1.2×	3.4k 1.9×	956 0.6×	235	12.7k
Burt Nabors United States	52	4.2k 0.7×	3.3k 1.0×	2.0k 0.7×	2.3k 1.3×	1.3k 0.8×	267	9.5k
Gabriele Schackert Germany	55	4.1k 0.7×	4.7k 1.5×	2.1k 0.8×	1.9k 1.0×	2.0k 1.3×	343	12.3k
Johannes A. Hainfellner Austria	51	6.0k 1.0×	7.5k 2.3×	3.1k 1.2×	2.4k 1.4×	3.1k 1.9×	297	14.9k

Countries citing papers authored by Peter Canoll

Since Specialization

Citations

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

Fields of papers citing papers by Peter Canoll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Canoll. 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 Peter Canoll. The network helps show where Peter Canoll may publish in the future.

Co-authorship network of co-authors of Peter Canoll

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Canoll. A scholar is included among the top collaborators of Peter Canoll 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 Peter Canoll. Peter Canoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Olsen, Timothy R., et al.. (2025). Scalable co-sequencing of RNA and DNA from individual nuclei. Nature Methods. 22(3). 477–487. 7 indexed citations

Nguyen, Trang, Consuelo Torrini, Enyuan Shang, et al.. (2024). OGDH and Bcl-xL loss causes synthetic lethality in glioblastoma. JCI Insight. 9(8). 3 indexed citations

Mela, Angeliki, Lei Liang, Pavan S. Upadhyayula, et al.. (2024). EZH2 Inhibition Sensitizes IDH1R132H-Mutant Gliomas to Histone Deacetylase Inhibitor. Cells. 13(3). 219–219. 3 indexed citations

Kinslow, Connor J., Soumyajit Roy, Fábio M. Iwamoto, et al.. (2024). The IDH paradox: Meta-analysis of alkylating chemotherapy in IDH-wild type and -mutant lower grade gliomas. Neuro-Oncology. 26(10). 1839–1849. 1 indexed citations

Liu, Zhouzerui, Angeliki Mela, Michael Argenziano, et al.. (2023). Single-cell analysis of 5-aminolevulinic acid intraoperative labeling specificity for glioblastoma. Journal of neurosurgery. 140(4). 968–978. 13 indexed citations

Kenchappa, Rajappa S., Natanael Zarco, Athanassios Dovas, et al.. (2023). DDDR-15. RESISTANCE TO TARGETED ANTI-MITOTICS IN GLIOBLASTOMA IS DRIVEN BY STAT3 ACTIVATION AND THERAPY INDUCED SENESCENCE. Neuro-Oncology. 25(Supplement_5). v108–v108. 1 indexed citations

Gill, Brian, Alexander Goldberg, Edward M. Merricks, et al.. (2022). Single unit analysis and wide-field imaging reveal alterations in excitatory and inhibitory neurons in glioma. Brain. 145(10). 3666–3680. 10 indexed citations

Gallaher, Jill, Andrea Hawkins‐Daarud, Russell C. Rockne, et al.. (2020). From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response. PLoS Computational Biology. 16(2). e1007672–e1007672. 29 indexed citations

Kenchappa, Rajappa S., Vandana Rai, James F. Crish, et al.. (2019). Myosin IIA suppresses glioblastoma development in a mechanically sensitive manner. Proceedings of the National Academy of Sciences. 116(31). 15550–15559. 43 indexed citations

10.

Zhang, Yiru, Trang Nguyen, Enyuan Shang, et al.. (2019). MET Inhibition Elicits PGC1α-Dependent Metabolic Reprogramming in Glioblastoma. Cancer Research. 80(1). 30–43. 44 indexed citations

11.

Levitin, Hanna Mendes, Jinzhou Yuan, Yim Ling Cheng, et al.. (2019). De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization. Molecular Systems Biology. 15(2). e8557–e8557. 43 indexed citations

12.

Dunn, Ian F., Ziming Du, Mehdi Touat, et al.. (2018). Mismatch Repair Deficiency in High-Grade Meningioma: A Rare but Recurrent Event Associated With Dramatic Immune Activation and Clinical Response to PD-1 Blockade. JCO Precision Oncology. 2018(2). 1–12. 51 indexed citations

13.

Zhang, Yiru, Chiaki Tsuge Ishida, Wataru Ishida, et al.. (2018). Combined HDAC and Bromodomain Protein Inhibition Reprograms Tumor Cell Metabolism and Elicits Synthetic Lethality in Glioblastoma. Clinical Cancer Research. 24(16). 3941–3954. 37 indexed citations

14.

Karpel‐Massler, Georg, Chiaki Tsuge Ishida, Elena Bianchetti, et al.. (2017). Inhibition of Mitochondrial Matrix Chaperones and Antiapoptotic Bcl-2 Family Proteins Empower Antitumor Therapeutic Responses. Cancer Research. 77(13). 3513–3526. 62 indexed citations

15.

Karpel‐Massler, Georg, Basil A. Horst, Chang Shu, et al.. (2016). A Synthetic Cell-Penetrating Dominant-Negative ATF5 Peptide Exerts Anticancer Activity against a Broad Spectrum of Treatment-Resistant Cancers. Clinical Cancer Research. 22(18). 4698–4711. 63 indexed citations

16.

Liang, Lei, Katrina K. Bakken, Peter A. Sims, et al.. (2016). Quantitative Phosphoproteomics Reveals Wee1 Kinase as a Therapeutic Target in a Model of Proneural Glioblastoma. Molecular Cancer Therapeutics. 15(6). 1332–1343. 30 indexed citations

17.

Klingler, Stefan, Baofeng Guo, Jun Yao, et al.. (2015). Development of Resistance to EGFR-Targeted Therapy in Malignant Glioma Can Occur through EGFR-Dependent and -Independent Mechanisms. Cancer Research. 75(10). 2109–2119. 29 indexed citations

18.

Pareja, Fresia, David MacLeod, Chang Shu, et al.. (2014). PI3K and Bcl-2 Inhibition Primes Glioblastoma Cells to Apoptosis through Downregulation of Mcl-1 and Phospho-BAD. Molecular Cancer Research. 12(7). 987–1001. 72 indexed citations

19.

Sonabend, Adam M., Mukesh Bansal, Paolo Guarnieri, et al.. (2014). The Transcriptional Regulatory Network of Proneural Glioma Determines the Genetic Alterations Selected during Tumor Progression. Cancer Research. 74(5). 1440–1451. 41 indexed citations

20.

Lopez, Kim A., Marcela C. Assanah, Katy Linskey, et al.. (2011). Convection-Enhanced Delivery of Topotecan into a PDGF-Driven Model of Glioblastoma Prolongs Survival and Ablates Both Tumor-Initiating Cells and Recruited Glial Progenitors. Cancer Research. 71(11). 3963–3971. 31 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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