Michael J. Guertin

2.1k total citations
33 papers, 1.3k citations indexed

About

Michael J. Guertin is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Michael J. Guertin has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Physiology. Recurrent topics in Michael J. Guertin's work include Genomics and Chromatin Dynamics (22 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (9 papers). Michael J. Guertin is often cited by papers focused on Genomics and Chromatin Dynamics (22 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (9 papers). Michael J. Guertin collaborates with scholars based in United States, China and United Kingdom. Michael J. Guertin's co-authors include John T. Lis, Scott A. Coonrod, Fabiana M. Duarte, Dig Bijay Mahat, André L. Martins, Xuesen Zhang, Leighton J. Core, Nicholas J. Fuda, Charles G. Danko and Adam Siepel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael J. Guertin

32 papers receiving 1.3k citations

Peers

Michael J. Guertin

GENET

IMMUN

Fabiana M. Duarte United States

John T. Lis United States

Federico Pelisch Argentina

Junling Jia China

Ariel Paulson United States

Luis M. Soares United States

Aaron C. Goldstrohm United States

Boris Adryan United Kingdom

Federico Comoglio Switzerland

Meghana Kulkarni United States

Fabiana M. Duarte United States

Michael J. Guertin

1.1k ×1.0

213 ×1.5

127 ×0.9

82 ×0.6

GENET

110 ×1.0

IMMUN

Citations per year, relative to Michael J. Guertin Michael J. Guertin (= 1×) peers Fabiana M. Duarte

Countries citing papers authored by Michael J. Guertin

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Guertin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Guertin

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

All Works

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20 of 20 papers shown

Scott, Thomas G. & Michael J. Guertin. (2025). Rapid protein degradation systems to determine gene function in vivo. Lab Animal. 54(3). 66–67.

Magnitov, Mikhail, Hans Teunissen, Kizhakke Mattada Sathyan, et al.. (2024). ZNF143 is a transcriptional regulator of nuclear-encoded mitochondrial genes that acts independently of looping and CTCF. Molecular Cell. 85(1). 24–41.e11. 5 indexed citations

Scott, Thomas G., Kizhakke Mattada Sathyan, Daniel Gioeli, & Michael J. Guertin. (2024). TRPS1 modulates chromatin accessibility to regulate estrogen receptor alpha (ER) binding and ER target gene expression in luminal breast cancer cells. PLoS Genetics. 20(2). e1011159–e1011159. 4 indexed citations

Sathyan, Kizhakke Mattada, et al.. (2024). ZNF143 binds DNA and stimulates transcription initiation to activate and repress direct target genes. Nucleic Acids Research. 53(2). 1 indexed citations

Scott, Thomas G., Adam Spencer, Arun B. Dutta, et al.. (2023). The Androgen Receptor Does Not Directly Regulate the Transcription of DNA Damage Response Genes. Molecular Cancer Research. 21(12). 1329–1341. 8 indexed citations

Dutta, Arun B., Piotr Przanowski, Lixin Wang, et al.. (2023). Kinetic networks identify TWIST2 as a key regulatory node in adipogenesis. Genome Research. 33(3). 314–331. 6 indexed citations

Hu, Shengen Shawn, Lin Liu, Wenjing Ma, et al.. (2022). Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA. Nature Communications. 13(1). 5533–5533. 4 indexed citations

Martins, André L., et al.. (2022). Correction of transposase sequence bias in ATAC-seq data with rule ensemble modeling. NAR Genomics and Bioinformatics. 5(2). lqad054–lqad054. 5 indexed citations

Weidmann, Chase A., Shekhar Saha, Piotr Przanowski, et al.. (2022). Distinct MUNC lncRNA structural domains regulate transcription of different promyogenic factors. Cell Reports. 38(7). 110361–110361. 23 indexed citations

10.

Anderson, Warren D., Fabiana M. Duarte, Mete Civelek, & Michael J. Guertin. (2020). Defining data-driven primary transcript annotations with primaryTranscriptAnnotation in R. Bioinformatics. 36(9). 2926–2928. 7 indexed citations

11.

Sathyan, Kizhakke Mattada, Brian D. McKenna, Warren D. Anderson, et al.. (2019). An improved auxin-inducible degron system preserves native protein levels and enables rapid and specific protein depletion. Genes & Development. 33(19-20). 1441–1455. 75 indexed citations

12.

Wang, Zhenjia, Mete Civelek, Clint L. Miller, et al.. (2018). BART: a transcription factor prediction tool with query gene sets or epigenomic profiles. Bioinformatics. 34(16). 2867–2869. 79 indexed citations

13.

Pincus, David, Jayamani Anandhakumar, Prathapan Thiru, et al.. (2018). Genetic and epigenetic determinants establish a continuum of Hsf1 occupancy and activity across the yeast genome. Molecular Biology of the Cell. 29(26). 3168–3182. 42 indexed citations

14.

Chiang, Colby, Yunxian Liu, Royden A. Clark, et al.. (2018). Identification of Drivers of Aneuploidy in Breast Tumors. Cell Reports. 23(9). 2758–2769. 38 indexed citations

15.

Martins, André L., Ninad M. Walavalkar, Warren D. Anderson, Chongzhi Zang, & Michael J. Guertin. (2017). Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions. Nucleic Acids Research. 46(2). e9–e9. 29 indexed citations

16.

Vihervaara, Anniina, Dig Bijay Mahat, Michael J. Guertin, et al.. (2017). Transcriptional response to stress is pre-wired by promoter and enhancer architecture. Nature Communications. 8(1). 255–255. 107 indexed citations

17.

Duarte, Fabiana M., Nicholas J. Fuda, Dig Bijay Mahat, et al.. (2016). Transcription factors GAF and HSF act at distinct regulatory steps to modulate stress-induced gene activation. Genes & Development. 30(15). 1731–1746. 89 indexed citations

18.

Fuda, Nicholas J., Michael J. Guertin, Sumeet K. Sharma, et al.. (2015). GAGA Factor Maintains Nucleosome-Free Regions and Has a Role in RNA Polymerase II Recruitment to Promoters. PLoS Genetics. 11(3). e1005108–e1005108. 78 indexed citations

19.

Guertin, Michael J., Steven J. Petesch, Katie L. Zobeck, Irene M. Min, & John T. Lis. (2010). Drosophila Heat Shock System as a General Model to Investigate Transcriptional Regulation. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 1–9. 62 indexed citations

20.

Guertin, Michael J. & John T. Lis. (2010). Chromatin Landscape Dictates HSF Binding to Target DNA Elements. PLoS Genetics. 6(9). e1001114–e1001114. 177 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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