C. Michael Crowder

2.2k total citations
45 papers, 1.6k citations indexed

About

C. Michael Crowder is a scholar working on Aging, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, C. Michael Crowder has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aging, 23 papers in Molecular Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in C. Michael Crowder's work include Genetics, Aging, and Longevity in Model Organisms (25 papers), Mitochondrial Function and Pathology (12 papers) and Circadian rhythm and melatonin (8 papers). C. Michael Crowder is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (25 papers), Mitochondrial Function and Pathology (12 papers) and Circadian rhythm and melatonin (8 papers). C. Michael Crowder collaborates with scholars based in United States, Canada and Austria. C. Michael Crowder's co-authors include Barbara A. Scott, Michael S. Avidan, Xianrong Mao, Michael L. Nonet, Mary Ann Cheng, Alexandre A. Todorov, René Tempelhoff, Peter Nägele, John P. Merlie and Owais Saifee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

C. Michael Crowder

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Michael Crowder United States 23 807 498 396 248 205 45 1.6k
Pin Xu United States 16 435 0.5× 95 0.2× 267 0.7× 354 1.4× 193 0.9× 31 1.1k
Kristopher J. Kosmatka United States 4 588 0.7× 702 1.4× 97 0.2× 1.0k 4.1× 267 1.3× 5 2.0k
Yizhe Tang United States 12 625 0.8× 128 0.3× 122 0.3× 428 1.7× 371 1.8× 23 1.5k
Ira S. Kass United States 25 555 0.7× 100 0.2× 972 2.5× 145 0.6× 121 0.6× 70 2.0k
Christina Cruzen United States 4 577 0.7× 705 1.4× 61 0.2× 984 4.0× 269 1.3× 4 1.8k
Alessandra Stangherlin United Kingdom 15 1.3k 1.6× 155 0.3× 219 0.6× 602 2.4× 596 2.9× 21 2.1k
Natalia Podlutskaya United States 8 556 0.7× 242 0.5× 191 0.5× 661 2.7× 73 0.4× 11 1.4k
Lellean JeBailey United States 18 854 1.1× 286 0.6× 133 0.3× 962 3.9× 1.0k 5.0× 22 2.4k
Ernst‐Bernhard Kayser United States 16 901 1.1× 451 0.9× 150 0.4× 221 0.9× 108 0.5× 25 1.3k
Maria Chiara Magnone Switzerland 19 304 0.4× 80 0.2× 357 0.9× 448 1.8× 602 2.9× 31 1.5k

Countries citing papers authored by C. Michael Crowder

Since Specialization
Citations

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

Fields of papers citing papers by C. Michael Crowder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Michael Crowder

This figure shows the co-authorship network connecting the top 25 collaborators of C. Michael Crowder. A scholar is included among the top collaborators of C. Michael Crowder 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 C. Michael Crowder. C. Michael Crowder 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.
Xu, Cong, Omar A. Itani, Neal D. Mathew, et al.. (2025). Biased regulation of protein synthesis and hypoxic death by a conditional raptor mutation. Current Biology. 35(11). 2567–2582.e5.
2.
Crowder, C. Michael, et al.. (2023). Hypoxia-induced mitochondrial stress granules. Cell Death and Disease. 14(7). 448–448. 10 indexed citations
4.
Shin, Seokyung, et al.. (2021). Effect of the mitochondrial unfolded protein response on hypoxic death and mitochondrial protein aggregation. Cell Death and Disease. 12(7). 711–711. 11 indexed citations
5.
Itani, Omar A., Xuefei Zhong, Xiaoting Tang, et al.. (2020). Coordinate Regulation of Ribosome and tRNA Biogenesis Controls Hypoxic Injury and Translation. Current Biology. 31(1). 128–137.e5. 10 indexed citations
6.
Liu, Meng, et al.. (2017). A screen for protective drugs against delayed hypoxic injury. PLoS ONE. 12(4). e0176061–e0176061. 5 indexed citations
7.
Wu, Xia, Barbara A. Scott, Omar A. Itani, et al.. (2017). Ageing and hypoxia cause protein aggregation in mitochondria. Cell Death and Differentiation. 24(10). 1730–1738. 41 indexed citations
8.
Mao, Xianrong, et al.. (2016). Nicotinamide mononucleotide adenylyltransferase promotes hypoxic survival by activating the mitochondrial unfolded protein response. Cell Death and Disease. 7(2). e2113–e2113. 17 indexed citations
9.
Kim, Eugene S., et al.. (2013). Delayed innocent bystander cell death following hypoxia in Caenorhabditis elegans. Cell Death and Differentiation. 21(4). 557–567. 11 indexed citations
10.
Scott, Barbara A., Xianrong Mao, Yu Cong, et al.. (2013). Role of oxygen consumption in hypoxia protection by translation factor depletion. Journal of Experimental Biology. 216(Pt 12). 2283–92. 17 indexed citations
11.
Anderson, Lori L., Xianrong Mao, Barbara A. Scott, & C. Michael Crowder. (2009). Survival from Hypoxia in C. elegans by Inactivation of Aminoacyl-tRNA Synthetases. Science. 323(5914). 630–633. 83 indexed citations
12.
Samokhvalov, Victor, Barbara A. Scott, & C. Michael Crowder. (2008). Autophagy protects against hypoxic injury inC. elegans. Autophagy. 4(8). 1034–1041. 68 indexed citations
13.
Dasgupta, Nupur, et al.. (2007). An Evolutionarily Conserved Presynaptic Protein Is Required for Isoflurane Sensitivity in Caenorhabditis elegans . Anesthesiology. 107(6). 971–982. 23 indexed citations
14.
Dasgupta, Nupur, et al.. (2007). Hypoxic Preconditioning Requires the Apoptosis Protein CED-4 in C. elegans. Current Biology. 17(22). 1954–1959. 35 indexed citations
15.
Yuan, Alex, Celia M. Santi, Aguan Wei, et al.. (2003). The Sodium-Activated Potassium Channel Is Encoded by a Member of the Slo Gene Family. Neuron. 37(5). 765–773. 223 indexed citations
16.
Crowder, C. Michael, Emily J. Westover, Aman Kumar, Richard E. Ostlund, & Douglas F. Covey. (2001). Enantiospecificity of Cholesterol Function in Vivo. Journal of Biological Chemistry. 276(48). 44369–44372. 46 indexed citations
17.
Cheng, Mary Ann, et al.. (2001). The Effect of Prone Positioning on Intraocular Pressure in Anesthetized Patients. Anesthesiology. 95(6). 1351–1355. 144 indexed citations
18.
Crowder, C. Michael, René Tempelhoff, M. Angèle Theard, et al.. (1996). Jugular bulb temperature: comparison with brain surface and core temperatures in neurosurgical patients during mild hypothermia. Journal of neurosurgery. 85(1). 98–103. 53 indexed citations
19.
Crowder, C. Michael & John P. Merlie. (1988). Stepwise Activation of the Mouse Acetylcholine Receptor δ- and ϒ-Subunit Genes in Clonal Cell Lines. Molecular and Cellular Biology. 8(12). 5257–5267. 29 indexed citations
20.
Crowder, C. Michael & John P. Merlie. (1986). DNase I-hypersensitive sites surround the mouse acetylcholine receptor delta-subunit gene.. Proceedings of the National Academy of Sciences. 83(21). 8405–8409. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026