Mair E. A. Churchill

8.3k total citations
96 papers, 6.7k citations indexed

About

Mair E. A. Churchill is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Mair E. A. Churchill has authored 96 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 22 papers in Genetics and 9 papers in Oncology. Recurrent topics in Mair E. A. Churchill's work include RNA and protein synthesis mechanisms (29 papers), Genomics and Chromatin Dynamics (29 papers) and DNA and Nucleic Acid Chemistry (20 papers). Mair E. A. Churchill is often cited by papers focused on RNA and protein synthesis mechanisms (29 papers), Genomics and Chromatin Dynamics (29 papers) and DNA and Nucleic Acid Chemistry (20 papers). Mair E. A. Churchill collaborates with scholars based in United States, United Kingdom and Japan. Mair E. A. Churchill's co-authors include Thomas D. Tullius, Andrew Travers, Jessica K. Tyler, Hugh M. Robertson, David J. Lampe, Christopher S. Malarkey, Ling‐Ling Chen, Daria Mochly‐Rosen, Sarbjit S. Ner and Masashi Suzuki and has published in prestigious journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Mair E. A. Churchill

95 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mair E. A. Churchill United States 47 5.4k 1.1k 738 399 327 96 6.7k
Fabian Glaser Israel 34 4.6k 0.8× 707 0.6× 479 0.6× 529 1.3× 311 1.0× 76 6.2k
Marco Biasini Switzerland 8 4.7k 0.9× 630 0.6× 863 1.2× 346 0.9× 395 1.2× 10 7.2k
Ambrish Roy United States 17 5.2k 1.0× 658 0.6× 758 1.0× 430 1.1× 358 1.1× 21 7.5k
Kyle W. Cunningham United States 36 4.1k 0.8× 641 0.6× 1.6k 2.2× 161 0.4× 299 0.9× 58 5.3k
David Drew Sweden 37 4.2k 0.8× 1.4k 1.2× 400 0.5× 414 1.0× 784 2.4× 77 5.7k
Maurice Bessman United States 43 4.9k 0.9× 1.0k 0.9× 501 0.7× 615 1.5× 493 1.5× 109 6.4k
Dirk Wolters Germany 32 6.3k 1.2× 377 0.3× 553 0.7× 237 0.6× 624 1.9× 66 9.5k
Yoshitaka Moriwaki Japan 13 3.7k 0.7× 615 0.6× 649 0.9× 494 1.2× 239 0.7× 32 5.5k
Maojun Yang China 36 4.8k 0.9× 390 0.4× 605 0.8× 130 0.3× 432 1.3× 96 6.8k
Lei Li China 42 3.5k 0.6× 667 0.6× 847 1.1× 421 1.1× 270 0.8× 194 5.1k

Countries citing papers authored by Mair E. A. Churchill

Since Specialization
Citations

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

Fields of papers citing papers by Mair E. A. Churchill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mair E. A. Churchill. 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 Mair E. A. Churchill. The network helps show where Mair E. A. Churchill may publish in the future.

Co-authorship network of co-authors of Mair E. A. Churchill

This figure shows the co-authorship network connecting the top 25 collaborators of Mair E. A. Churchill. A scholar is included among the top collaborators of Mair E. A. Churchill 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 Mair E. A. Churchill. Mair E. A. Churchill 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.
2.
Taslimi, Amir, et al.. (2022). Reprogramming the Cleavage Specificity of Botulinum Neurotoxin Serotype B1. ACS Synthetic Biology. 11(10). 3318–3329. 3 indexed citations
3.
Dostal, Vishantie & Mair E. A. Churchill. (2019). Cytosine methylation of mitochondrial DNA at CpG sequences impacts transcription factor A DNA binding and transcription. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(5). 598–607. 34 indexed citations
4.
Hill, Ryan C., et al.. (2018). Mechanism of agonism and antagonism of the Pseudomonas aeruginosa quorum sensing regulator QscR with non‐native ligands. Molecular Microbiology. 108(3). 240–257. 38 indexed citations
5.
Sauer, Paul, Yajie Gu, Wallace H. Liu, et al.. (2018). Mechanistic insights into histone deposition and nucleosome assembly by the chromatin assembly factor-1. Nucleic Acids Research. 46(19). 9907–9917. 60 indexed citations
6.
Duex, Jason E., Garrett M. Dancik, Richard D. Paucek, et al.. (2017). Functional Impact of Chromatin Remodeling Gene Mutations and Predictive Signature for Therapeutic Response in Bladder Cancer. Molecular Cancer Research. 16(1). 69–77. 32 indexed citations
7.
Liu, Wallace H., Sarah C. Roemer, Yeyun Zhou, et al.. (2016). The Cac1 subunit of histone chaperone CAF-1 organizes CAF-1-H3/H4 architecture and tetramerizes histones. eLife. 5. 49 indexed citations
8.
Malarkey, Christopher S., et al.. (2016). Mechanism of Mitochondrial Transcription Factor A Attenuation of CpG-Induced Antibody Production. PLoS ONE. 11(6). e0157157–e0157157. 1 indexed citations
9.
Malarkey, Christopher S., Claudia Lionetti, Stefania Deceglie, et al.. (2016). The sea urchin mitochondrial transcription factor A binds and bends DNA efficiently despite its unusually short C-terminal tail. Mitochondrion. 29. 1–6. 4 indexed citations
10.
Fitzsimmons, Liam F., et al.. (2013). Pseudomonas aeruginosa AlgR Phosphorylation Modulates Rhamnolipid Production and Motility. Journal of Bacteriology. 195(24). 5499–5515. 41 indexed citations
11.
Chavez-Tomar, Myrriah, et al.. (2012). The conformational flexibility of the C-terminus of histone H4 promotes histone octamer and nucleosome stability and yeast viability. Epigenetics & Chromatin. 5(1). 5–5. 18 indexed citations
12.
Churchill, Mair E. A., et al.. (2011). The activity of the histone chaperone yeast Asf1 in the assembly and disassembly of histone H3/H4–DNA complexes. Nucleic Acids Research. 39(13). 5449–5458. 49 indexed citations
13.
Tizzano, Marco, Brian D. Gulbransen, Aurélie Vandenbeuch, et al.. (2010). Nasal chemosensory cells use bitter taste signaling to detect irritants and bacterial signals. Proceedings of the National Academy of Sciences. 107(7). 3210–3215. 329 indexed citations
14.
Nix, Jay C., et al.. (2009). Structural analysis and DNA binding of the HMG domains of the human mitochondrial transcription factor A. Nucleic Acids Research. 37(10). 3153–3164. 79 indexed citations
15.
Adkins, Melissa W., et al.. (2006). Structural Basis for the Histone Chaperone Activity of Asf1. Cell. 127(3). 495–508. 362 indexed citations
16.
Murphy, F.V. & Mair E. A. Churchill. (2000). Nonsequence-specific DNA recognition: a structural perspective. Structure. 8(4). R83–R89. 125 indexed citations
17.
Churchill, Mair E. A.. (1996). Nucleic acids and molecular biology volume 9. Chemistry & Biology. 3(9). 729–730. 2 indexed citations
18.
Jones, David N. M., Graeme L. Shaw, Mair E. A. Churchill, et al.. (1994). The solution structure and dynamics of the DNA-binding domain of HMG-D from Drosophila melanogaster. Structure. 2(7). 609–627. 93 indexed citations
19.
Churchill, Mair E. A. & Andrew Travers. (1991). Protein motifs that recognize structural features of DNA. Trends in Biochemical Sciences. 16(3). 92–97. 171 indexed citations
20.
Tullius, Thomas D., et al.. (1987). [33] Hydroxyl radical footprinting: A high-resolution method for mapping protein-DNA contacts. Methods in enzymology on CD-ROM/Methods in enzymology. 155. 537–558. 274 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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