Michael Grzybowski

675 total citations
22 papers, 438 citations indexed

About

Michael Grzybowski is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Michael Grzybowski has authored 22 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Physiology. Recurrent topics in Michael Grzybowski's work include Adipose Tissue and Metabolism (3 papers), Skin and Cellular Biology Research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Michael Grzybowski is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Skin and Cellular Biology Research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Michael Grzybowski collaborates with scholars based in United States, United Kingdom and China. Michael Grzybowski's co-authors include Aron M. Geurts, Oleg Palygin, Andy Weyer, Ashley M. Cowie, Thiago Arzua, Francie Moehring, Cheryl L. Stucky, Alexander Staruschenko, Tengis S. Pavlov and Gregory Blass and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael Grzybowski

18 papers receiving 434 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 Grzybowski United States 9 178 106 61 57 56 22 438
Jonathan Neumann United States 9 447 2.5× 54 0.5× 14 0.2× 58 1.0× 70 1.3× 14 650
Kai‐Feng Shen China 13 199 1.1× 297 2.8× 11 0.2× 34 0.6× 142 2.5× 31 618
Michelle Boone Netherlands 9 525 2.9× 80 0.8× 50 0.8× 49 0.9× 19 0.3× 11 705
Daniel Butlen France 16 394 2.2× 92 0.9× 56 0.9× 30 0.5× 103 1.8× 33 799
Deepa Joshi Canada 12 161 0.9× 40 0.4× 14 0.2× 50 0.9× 90 1.6× 23 437
Ming‐Ming Wu China 15 282 1.6× 63 0.6× 9 0.1× 16 0.3× 98 1.8× 32 471
Marcello Polesel Switzerland 11 111 0.6× 46 0.4× 84 1.4× 35 0.6× 36 0.6× 12 442
Xiao‐Qing Dai Canada 16 433 2.4× 72 0.7× 13 0.2× 362 6.4× 86 1.5× 24 751
François Wuarin Switzerland 11 520 2.9× 65 0.6× 85 1.4× 49 0.9× 259 4.6× 11 716
Lukáš Varga Slovakia 11 140 0.8× 217 2.0× 9 0.1× 24 0.4× 20 0.4× 34 448

Countries citing papers authored by Michael Grzybowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Grzybowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Grzybowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Grzybowski. A scholar is included among the top collaborators of Michael Grzybowski 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 Grzybowski. Michael Grzybowski 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.
Liu, Yong, Rajan Pandey, Qiongzi Qiu, et al.. (2025). Chromatin interaction maps of human arterioles reveal mechanisms for the genetic regulation of blood pressure. Nature Communications. 16(1). 6577–6577.
2.
Xue, Hong, Manoj K. Mishra, Yong Liu, et al.. (2025). Physiological role and mechanisms of action for a long noncoding haplotype region. Cell Reports. 44(6). 115805–115805. 1 indexed citations
3.
Fitzpatrick, M.L., Michael Grzybowski, Aron M. Geurts, et al.. (2024). Chronic stress from adolescence to adulthood increases adiposity and anxiety in rats with decreased expression of Krtcap3. Frontiers in Genetics. 14. 1247232–1247232.
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Hurley, Matthew M., Michael Grzybowski, Aron M. Geurts, et al.. (2023). Genetic Disruption of System xc-Mediated Glutamate Release from Astrocytes Increases Negative-Outcome Behaviors While Preserving Basic Brain Function in Rat. Journal of Neuroscience. 43(13). 2349–2361. 2 indexed citations
7.
Grzybowski, Michael, et al.. (2023). Changes in environmental stress over COVID-19 pandemic likely contributed to failure to replicate adiposity phenotype associated with Krtcap3. Physiological Genomics. 55(10). 452–467. 2 indexed citations
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Crouse, Wesley L., Gregory R. Keele, Katie Holl, et al.. (2022). Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats. Diabetes. 72(1). 135–148. 7 indexed citations
10.
Hoffman, Matthew, Akiko Takizawa, Eric S. Jensen, et al.. (2022). Btg2 mutation induces renal injury and impairs blood pressure control in female rats. Physiological Genomics. 54(7). 231–241. 3 indexed citations
11.
Deal, Aaron, et al.. (2022). Keratinocyte-associated protein 3 plays a role in body weight and adiposity with differential effects in males and females. Frontiers in Genetics. 13. 942574–942574. 6 indexed citations
12.
Kastner, David B., et al.. (2020). Robust and replicable measurement for prepulse inhibition of the acoustic startle response. Molecular Psychiatry. 26(6). 1909–1927. 21 indexed citations
13.
Chen, Yi‐Guang, et al.. (2020). UBASH3A deficiency accelerates type 1 diabetes development and enhances salivary gland inflammation in NOD mice. Scientific Reports. 10(1). 12019–12019. 13 indexed citations
14.
Grzybowski, Michael, et al.. (2019). Water quality and physical hydrogeology of the Amarapura township, Mandalay, Myanmar. Hydrogeology Journal. 27(4). 1497–1513. 7 indexed citations
15.
Moehring, Francie, Ashley M. Cowie, Andy Weyer, et al.. (2018). Keratinocytes mediate innocuous and noxious touch via ATP-P2X4 signaling. eLife. 7. 140 indexed citations
16.
Ilatovskaya, Daria V., Gregory Blass, Oleg Palygin, et al.. (2018). A NOX4/TRPC6 Pathway in Podocyte Calcium Regulation and Renal Damage in Diabetic Kidney Disease. Journal of the American Society of Nephrology. 29(7). 1917–1927. 109 indexed citations
17.
McDermott‐Roe, Chris, Michael Grzybowski, Maribel Marquez, et al.. (2017). Efficient Precision Genome Editing in iPSCs via Genetic Co-targeting with Selection. Stem Cell Reports. 8(3). 491–499. 25 indexed citations
18.
Endres, Bradley T., Jessica Priestley, Oleg Palygin, et al.. (2014). Mutation of Plekha7 attenuates salt-sensitive hypertension in the rat. Proceedings of the National Academy of Sciences. 111(35). 12817–12822. 47 indexed citations
19.
Xicola, Rosa M., Thuy‐Phuong Nguyen, Brian J. Doyle, et al.. (2009). 198 CpG-Island Methylator Phenotype (CIMP) and Alterations in RAS-Raf Signaling in Hereditary Non-Polyposis Colorectal Cancers Without Mismatch Repair Deficiency (MSS HNPCC). Gastroenterology. 136(5). A–37. 1 indexed citations
20.
Grzybowski, Michael, Osvaldo J. Sepulveda‐Villet, Carol A. Stepien, et al.. (2009). Genetic Variation of 17 Wild Yellow Perch Populations from the Midwest and East Coast Analyzed via Microsatellites. Transactions of the American Fisheries Society. 139(1). 270–287. 18 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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