Michael Blough

2.1k total citations
21 papers, 1.1k citations indexed

About

Michael Blough is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Michael Blough has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 12 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Michael Blough's work include Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (6 papers). Michael Blough is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (6 papers). Michael Blough collaborates with scholars based in Canada, United States and Saudi Arabia. Michael Blough's co-authors include J. Gregory Cairncross, John J. Kelly, H. Artee Luchman, Jennifer A. Chan, Samuel Weiss, Owen D.M. Stechishin, Myriam M. Chaumeil, Sabrina M. Ronen, Magdalena C. Ƶlatescu and Russell O. Pieper and has published in prestigious journals such as Nature Communications, Cancer Cell and Cancer Research.

In The Last Decade

Michael Blough

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Blough Canada 17 596 582 445 231 101 21 1.1k
Joydeep Mukherjee United States 18 938 1.6× 449 0.8× 700 1.6× 207 0.9× 130 1.3× 35 1.5k
Olivier Keunen Luxembourg 13 754 1.3× 537 0.9× 744 1.7× 253 1.1× 148 1.5× 23 1.5k
Ann C. Mladek United States 20 1000 1.7× 597 1.0× 282 0.6× 473 2.0× 80 0.8× 41 1.5k
Motokazu Ito Japan 19 461 0.8× 298 0.5× 200 0.4× 200 0.9× 67 0.7× 22 943
Fatima W. Khwaja United States 7 496 0.8× 272 0.5× 440 1.0× 185 0.8× 35 0.3× 7 872
Olga Méndez Spain 12 424 0.7× 266 0.5× 363 0.8× 336 1.5× 42 0.4× 27 955
Daniel Rohle United States 4 1.0k 1.7× 824 1.4× 847 1.9× 175 0.8× 167 1.7× 5 1.7k
Jenny L. Pokorny United States 13 719 1.2× 496 0.9× 236 0.5× 405 1.8× 104 1.0× 21 1.2k
Ping‐Pin Zheng Netherlands 15 446 0.7× 241 0.4× 200 0.4× 170 0.7× 47 0.5× 29 921
David L. Gillespie United States 19 586 1.0× 368 0.6× 417 0.9× 136 0.6× 132 1.3× 28 1.2k

Countries citing papers authored by Michael Blough

Since Specialization
Citations

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

Fields of papers citing papers by Michael Blough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Blough

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Blough. A scholar is included among the top collaborators of Michael Blough 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 Michael Blough. Michael Blough 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.
Kumar, Mehul, et al.. (2023). PDGF gene expression and p53 alterations contribute to the biology of diffuse astrocytic gliomas. npj Genomic Medicine. 8(1). 6–6. 2 indexed citations
2.
Leblanc, Véronique, Diane L. Trinh, Martha Hughes, et al.. (2022). Single-cell landscapes of primary glioblastomas and matched explants and cell lines show variable retention of inter- and intratumor heterogeneity. Cancer Cell. 40(4). 379–392.e9. 80 indexed citations
3.
Maxwell, Lori, et al.. (2020). PARP inhibition suppresses the emergence of temozolomide resistance in a model system. Journal of Neuro-Oncology. 148(3). 463–472. 9 indexed citations
4.
Ahmad, Shiekh Tanveer, Alexandra Rogers, Rajiv Dixit, et al.. (2019). Capicua regulates neural stem cell proliferation and lineage specification through control of Ets factors. Nature Communications. 10(1). 2000–2000. 33 indexed citations
5.
Cairncross, J. G., et al.. (2018). 21 Inhibiting PARP-1 to restore temozolomide sensitivity and prevent resistance in glioblastoma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 45(S3). S4–S4. 1 indexed citations
6.
Chaumeil, Myriam M., Marina Radoul, Chloé Najac, et al.. (2016). Hyperpolarized 13C MR imaging detects no lactate production in mutant IDH1 gliomas: Implications for diagnosis and response monitoring. NeuroImage Clinical. 12. 180–189. 52 indexed citations
7.
Grinshtein, Natalie, Richard Marcellus, David Uehling, et al.. (2016). Small molecule epigenetic screen identifies novel EZH2 and HDAC inhibitors that target glioblastoma brain tumor-initiating cells. Oncotarget. 7(37). 59360–59376. 30 indexed citations
8.
Izquierdo-García, José Luis, Pavithra Viswanath, Pia Eriksson, et al.. (2015). IDH1 Mutation Induces Reprogramming of Pyruvate Metabolism. Cancer Research. 75(15). 2999–3009. 98 indexed citations
9.
Shen, Yaoqing, Candice C. Poon, H. Artee Luchman, et al.. (2015). Comparative genomic and genetic analysis of glioblastoma-derived brain tumor-initiating cells and their parent tumors. Neuro-Oncology. 18(3). 350–360. 30 indexed citations
10.
Maxwell, Lori, et al.. (2015). ATPS-50REVISITING CARBOPLATIN AS A THERAPY FOR GLIOBLASTOMA (GBM). Neuro-Oncology. 17(suppl 5). v29.2–v29. 1 indexed citations
11.
Spence, Tara, Christian Perotti, Patrick Sin‐Chan, et al.. (2013). A novel C19MC amplified cell line links Lin28/let-7 to mTOR signaling in embryonal tumor with multilayered rosettes. Neuro-Oncology. 16(1). 62–71. 37 indexed citations
12.
Chesnelong, Charles, Myriam M. Chaumeil, Michael Blough, et al.. (2013). Lactate dehydrogenase A silencing in IDH mutant gliomas. Neuro-Oncology. 16(5). 686–695. 144 indexed citations
13.
Stechishin, Owen D.M., H. Artee Luchman, Yibing Ruan, et al.. (2012). On-target JAK2/STAT3 inhibition slows disease progression in orthotopic xenografts of human glioblastoma brain tumor stem cells. Neuro-Oncology. 15(2). 198–207. 86 indexed citations
14.
Blough, Michael, Charles Chesnelong, Alexandra Rogers, et al.. (2012). DNA hypermethylation and 1p Loss silence NHE‐1 in oligodendroglioma. Annals of Neurology. 71(6). 845–849. 19 indexed citations
15.
Luchman, H. Artee, Nam H. Dang, Michael Blough, et al.. (2011). An in vivo patient-derived model of endogenous IDH1-mutant glioma. Neuro-Oncology. 14(2). 184–191. 134 indexed citations
16.
Kelly, John J., Michael Blough, Jennifer A. Chan, et al.. (2010). Oligodendroglioma cell lines containing t(1;19)(q10;p10). Neuro-Oncology. 12(7). 745–755. 58 indexed citations
17.
Blough, Michael, et al.. (2010). Effect of aberrant p53 function on temozolomide sensitivity of glioma cell lines and brain tumor initiating cells from glioblastoma. Journal of Neuro-Oncology. 102(1). 1–7. 73 indexed citations
18.
Blough, Michael, et al.. (2010). Sensitivity to temozolomide in brain tumor initiating cells. Neuro-Oncology. 12(7). 756–760. 52 indexed citations
19.
Blough, Michael, et al.. (2008). p53 binding to the p21 promoter is dependent on the nature of DNA damage. Cell Cycle. 7(16). 2535–2543. 49 indexed citations
20.
Blough, Michael, Magdalena C. Ƶlatescu, & J. Gregory Cairncross. (2007). O6-Methylguanine-DNA Methyltransferase Regulation by p53 in Astrocytic Cells. Cancer Research. 67(2). 580–584. 72 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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