Michael C. Schultz

2.1k total citations
43 papers, 1.8k citations indexed

About

Michael C. Schultz is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Michael C. Schultz has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Michael C. Schultz's work include Genomics and Chromatin Dynamics (26 papers), RNA Research and Splicing (11 papers) and DNA Repair Mechanisms (10 papers). Michael C. Schultz is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), RNA Research and Splicing (11 papers) and DNA Repair Mechanisms (10 papers). Michael C. Schultz collaborates with scholars based in Canada, United States and Australia. Michael C. Schultz's co-authors include Ronald H. Reeder, R H Reeder, Steven Hahn, Darren Hockman, Dean B. Zaragoza, Joseph Heitman, Michael Grunstein, Karen M. Robinson, Troy A. A. Harkness and Craig S. Pikaard and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michael C. Schultz

43 papers receiving 1.8k 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 C. Schultz Canada 22 1.7k 226 130 82 73 43 1.8k
Karen M. Arndt United States 27 2.1k 1.3× 244 1.1× 196 1.5× 112 1.4× 58 0.8× 52 2.3k
Kashif Ahmed United States 16 879 0.5× 176 0.8× 78 0.6× 143 1.7× 102 1.4× 23 1.1k
Anthony T. Annunziato United States 22 1.8k 1.0× 244 1.1× 133 1.0× 26 0.3× 73 1.0× 30 1.9k
Christophe Carles France 30 2.2k 1.3× 161 0.7× 216 1.7× 56 0.7× 51 0.7× 48 2.4k
Jeffrey Fillingham Canada 21 1.8k 1.1× 234 1.0× 95 0.7× 169 2.1× 165 2.3× 38 1.9k
Francine Creusot France 13 973 0.6× 393 1.7× 137 1.1× 96 1.2× 54 0.7× 19 1.3k
Hugo Würtele Canada 18 1.2k 0.7× 163 0.7× 131 1.0× 65 0.8× 155 2.1× 40 1.4k
Gérard Faye France 23 1.9k 1.1× 128 0.6× 138 1.1× 201 2.5× 144 2.0× 39 2.0k
Arnoud J. Kal Netherlands 15 1.1k 0.7× 130 0.6× 246 1.9× 106 1.3× 46 0.6× 19 1.4k
Sue Cotterill United Kingdom 19 1.0k 0.6× 191 0.8× 163 1.3× 173 2.1× 75 1.0× 46 1.1k

Countries citing papers authored by Michael C. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Schultz. A scholar is included among the top collaborators of Michael C. Schultz 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 C. Schultz. Michael C. Schultz 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.
Tang, Helen, et al.. (2023). Biochemical evidence that the whole compartment activity behavior of GAPDH differs between the cytoplasm and nucleus. PLoS ONE. 18(8). e0290892–e0290892. 2 indexed citations
2.
Schultz, Michael C., et al.. (2022). The Protein Interactome of a Nanoparticle Population in Whole Cytoplasm under Near‐Native Conditions: A Pilot Study. Particle & Particle Systems Characterization. 39(4). 3 indexed citations
3.
Schultz, Michael C., et al.. (2022). Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state. FASEB BioAdvances. 4(11). 709–723. 2 indexed citations
4.
Schultz, Michael C., et al.. (2016). Attenuation of transcriptional and signaling responses limits viability of ρ0Saccharomyces cerevisiae during periods of glucose deprivation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(11). 2563–2575. 2 indexed citations
5.
6.
Schultz, Michael C., et al.. (2011). SWI/SNF and Asf1 Independently Promote Derepression of the DNA Damage Response Genes under Conditions of Replication Stress. PLoS ONE. 6(6). e21633–e21633. 5 indexed citations
7.
Williams, Jessica S., et al.. (2010). Transcriptional Regulation by Asf1. Journal of Biological Chemistry. 286(9). 7082–7092. 25 indexed citations
8.
Hockman, Darren, et al.. (2010). Replication stress checkpoint signaling controls tRNA gene transcription. Nature Structural & Molecular Biology. 17(8). 976–981. 41 indexed citations
9.
Schultz, Michael C., et al.. (2010). Genome stability control by checkpoint regulation of tRNA gene transcription. Transcription. 1(3). 115–125. 12 indexed citations
10.
Reinke, Stacey N., et al.. (2009). A glycolytic burst drives glucose induction of global histone acetylation by picNuA4 and SAGA. Nucleic Acids Research. 37(12). 3969–3980. 94 indexed citations
11.
Robinson, Karen M. & Michael C. Schultz. (2005). Chromatin Assembly in a Crude Fraction From Yeast Cells. Humana Press eBooks. 313. 209–224. 1 indexed citations
12.
Schultz, Michael C., et al.. (2001). TATA Binding Protein-Associated CK2 Transduces DNA Damage Signals to the RNA Polymerase III Transcriptional Machinery. Cell. 106(5). 575–584. 111 indexed citations
13.
Schultz, Michael C., et al.. (1997). Topoisomerase Function during Replication-Independent Chromatin Assembly in Yeast. Molecular and Cellular Biology. 17(7). 3520–3526. 20 indexed citations
14.
Schultz, Michael C., et al.. (1997). Casein kinase II regulation of yeast TFIIIB is mediated by the TATA-binding protein. Genes & Development. 11(21). 2780–2789. 52 indexed citations
15.
Hockman, Darren & Michael C. Schultz. (1996). Casein Kinase II Is Required for Efficient Transcription by RNA Polymerase III. Molecular and Cellular Biology. 16(3). 892–898. 46 indexed citations
16.
Schultz, Michael C., Soo Young Choe, & Ronald H. Reeder. (1993). In Vitro Definition of the Yeast RNA Polymerase I Enhancer. Molecular and Cellular Biology. 13(5). 2644–2654. 10 indexed citations
17.
Choe, Soo Young, Michael C. Schultz, & Ronald H. Reeder. (1992). In vitrodefinition of the yeast RNA polymerase I promoter. Nucleic Acids Research. 20(2). 279–285. 45 indexed citations
18.
Schultz, Michael C. & C. P. Leblond. (1990). Nucleolar structure and synthetic activity during meiotic prophase and spermiogenesis in the rat. American Journal of Anatomy. 189(1). 1–10. 17 indexed citations
19.
Schultz, Michael C. & C. P. Leblond. (1990). Three structures associated with the nucleolus in male rat germinal cells: Round body, coiled body, and “nubecula” and general presence of round body at male meiosis. American Journal of Anatomy. 189(1). 11–23. 11 indexed citations
20.
Schultz, Michael C.. (1989). Ultrastructural study of the coiled body and a new inclusion, the “mykaryon”, in the nucleus of the adult rat sertoli cell. The Anatomical Record. 225(1). 21–25. 11 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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