Matthew W. Strobeck

1.4k total citations
17 papers, 1.1k citations indexed

About

Matthew W. Strobeck is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Matthew W. Strobeck has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Matthew W. Strobeck's work include Chromatin Remodeling and Cancer (7 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Mechanisms and Therapy (5 papers). Matthew W. Strobeck is often cited by papers focused on Chromatin Remodeling and Cancer (7 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Mechanisms and Therapy (5 papers). Matthew W. Strobeck collaborates with scholars based in United States, Switzerland and France. Matthew W. Strobeck's co-authors include Erik S. Knudsen, Bernard E. Weissman, Anne F. Fribourg, Karen E. Knudsen, David Reisman, Bryan L. Betz, Marc F. DeCristofaro, Anthony N. Imbalzano, Larry S. Sherman and Ranjaka W. Gunawardena and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Reviews Drug Discovery.

In The Last Decade

Matthew W. Strobeck

17 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
Matthew W. Strobeck United States 14 911 403 342 158 93 17 1.1k
Min Sun Shin South Korea 15 639 0.7× 262 0.7× 302 0.9× 108 0.7× 189 2.0× 17 1.0k
Mamunur Rashid United Kingdom 14 491 0.5× 74 0.2× 248 0.7× 116 0.7× 220 2.4× 19 817
Latha Shivakumar United States 8 1.1k 1.2× 119 0.3× 251 0.7× 63 0.4× 194 2.1× 25 1.3k
Elisabetta Calabrese Italy 13 508 0.6× 131 0.3× 399 1.2× 185 1.2× 50 0.5× 37 1.0k
Honglin Song United Kingdom 24 904 1.0× 272 0.7× 441 1.3× 72 0.5× 315 3.4× 41 1.6k
G. S. Falchook United States 13 516 0.6× 176 0.4× 411 1.2× 94 0.6× 86 0.9× 31 753
Takafumi Koyama Japan 19 293 0.3× 103 0.3× 447 1.3× 136 0.9× 144 1.5× 87 871
G von Minckwitz Germany 15 259 0.3× 162 0.4× 604 1.8× 59 0.4× 460 4.9× 48 1.0k
Jay Yang United States 18 810 0.9× 84 0.2× 281 0.8× 85 0.5× 156 1.7× 103 1.3k
Silvia J. Serrano‐Gómez Colombia 12 494 0.5× 74 0.2× 349 1.0× 64 0.4× 327 3.5× 21 913

Countries citing papers authored by Matthew W. Strobeck

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Strobeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew W. Strobeck. 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 Matthew W. Strobeck. The network helps show where Matthew W. Strobeck may publish in the future.

Co-authorship network of co-authors of Matthew W. Strobeck

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

All Works

17 of 17 papers shown
1.
Rosson, Gary B., Matthew W. Strobeck, Jianguang Chen, et al.. (2011). Identification of a core member of the SWI/SNF complex, BAF155/SMARCC1, as a human tumor suppressor gene. Epigenetics. 6(12). 1444–1453. 41 indexed citations
2.
Strobeck, Matthew W.. (2007). Multiple myeloma therapies. Nature Reviews Drug Discovery. 6(3). 181–182. 15 indexed citations
3.
Berndt, Ernst R., et al.. (2006). Opportunities for Improving the Drug Development Process: Results from a Survey of Industry and the FDA. RePEc: Research Papers in Economics. 6. 91–121. 3 indexed citations
4.
Philipson, Tomas, et al.. (2005). Assessing the Safety and Efficacy of the FDA: The Case of the Prescription Drug User Fee Acts. National Bureau of Economic Research. 7 indexed citations
5.
Berndt, Ernst R., et al.. (2005). Industry funding of the FDA: effects of PDUFA on approval times and withdrawal rates. Nature Reviews Drug Discovery. 4(7). 545–554. 63 indexed citations
6.
Berndt, Ernst R., et al.. (2004). Assessing the Impacts of the Prescription Drug User Fee Acts (PDUFA) on the FDA Approval Process. Forum for Health Economics & Policy. 8(1). 3 indexed citations
7.
Strobeck, Matthew W., David Reisman, Ranjaka W. Gunawardena, et al.. (2002). Compensation of BRG-1 Function by Brm. Journal of Biological Chemistry. 277(7). 4782–4789. 100 indexed citations
8.
Reisman, David, Matthew W. Strobeck, Bryan L. Betz, et al.. (2002). Concomitant down-regulation of BRM and BRG1 in human tumor cell lines: differential effects on RB-mediated growth arrest vs CD44 expression. Oncogene. 21(8). 1196–1207. 132 indexed citations
9.
Lan, Zhengdao, Zvjezdana Sever-Chroneos, Matthew W. Strobeck, et al.. (2002). DNA Damage Invokes Mismatch Repair-dependent Cyclin D1 Attenuation and Retinoblastoma Signaling Pathways to Inhibit CDK2. Journal of Biological Chemistry. 277(10). 8372–8381. 41 indexed citations
10.
Betz, Bryan L., Matthew W. Strobeck, David Reisman, Erik S. Knudsen, & Bernard E. Weissman. (2002). Re-expression of hSNF5/INI1/BAF47 in pediatric tumor cells leads to G1arrest associated with induction of p16ink4a and activation of RB. Oncogene. 21(34). 5193–5203. 162 indexed citations
11.
Markey, Michael, Steven P. Angus, Matthew W. Strobeck, et al.. (2002). Unbiased analysis of RB-mediated transcriptional repression identifies novel targets and distinctions from E2F action.. PubMed. 62(22). 6587–97. 99 indexed citations
12.
Strobeck, Matthew W., Marc F. DeCristofaro, Fatima Banine, et al.. (2001). The BRG-1 Subunit of the SWI/SNF Complex Regulates CD44 Expression. Journal of Biological Chemistry. 276(12). 9273–9278. 75 indexed citations
13.
Fribourg, Anne F., et al.. (2000). Differential requirements for ras and the retinoblastoma tumor suppressor protein in the androgen dependence of prostatic adenocarcinoma cells.. PubMed. 11(7). 361–72. 34 indexed citations
14.
Strobeck, Matthew W., Karen E. Knudsen, Anne F. Fribourg, et al.. (2000). BRG-1 is required for RB-mediated cell cycle arrest. Proceedings of the National Academy of Sciences. 97(14). 7748–7753. 203 indexed citations
15.
Strobeck, Matthew W., Anne F. Fribourg, Alvaro Puga, & Erik S. Knudsen. (2000). Restoration of retinoblastoma mediated signaling to Cdk2 results in cell cycle arrest. Oncogene. 19(15). 1857–1867. 67 indexed citations
16.
Strobeck, Matthew W., Masaru Okuda, Hiroshi Yamaguchi, Arnold Schwartz, & Kenji Fukasawa. (1999). Morphological Transformation Induced by Activation of the Mitogen-activated Protein Kinase Pathway Requires Suppression of the T-type Ca2+ Channel. Journal of Biological Chemistry. 274(22). 15694–15700. 16 indexed citations
17.
Knudsen, Karen E., et al.. (1999). Cyclin A Is a Functional Target of Retinoblastoma Tumor Suppressor Protein-mediated Cell Cycle Arrest. Journal of Biological Chemistry. 274(39). 27632–27641. 65 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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