Carol E. Bansbach

1.2k total citations
9 papers, 953 citations indexed

About

Carol E. Bansbach is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Carol E. Bansbach has authored 9 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in Carol E. Bansbach's work include DNA Repair Mechanisms (8 papers), Genomics and Chromatin Dynamics (5 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Carol E. Bansbach is often cited by papers focused on DNA Repair Mechanisms (8 papers), Genomics and Chromatin Dynamics (5 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Carol E. Bansbach collaborates with scholars based in United States, Canada and Australia. Carol E. Bansbach's co-authors include David Cortez, Rémy Betous, Gloria G. Glick, Courtney A. Lovejoy, Bianca M. Sirbu, Sung Yun Jung, Jun Qin, Brandt F. Eichman, Aaron C. Mason and Robert P. Rambo 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

Carol E. Bansbach

9 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol E. Bansbach United States 8 900 315 149 142 136 9 953
Velibor Savic United Kingdom 9 1.2k 1.3× 363 1.2× 155 1.0× 203 1.4× 100 0.7× 15 1.2k
Gargi Ghosal United States 16 1.1k 1.2× 250 0.8× 195 1.3× 134 0.9× 151 1.1× 22 1.2k
Lan N. Truong United States 14 1.1k 1.3× 371 1.2× 175 1.2× 141 1.0× 143 1.1× 16 1.2k
Courtney A. Lovejoy United States 10 806 0.9× 255 0.8× 108 0.7× 108 0.8× 101 0.7× 14 891
Nozomi Sugimoto Japan 15 957 1.1× 297 0.9× 111 0.7× 181 1.3× 104 0.8× 25 1.0k
Meagan Munro Canada 7 1.3k 1.4× 582 1.8× 170 1.1× 131 0.9× 148 1.1× 8 1.4k
Hervé Técher France 10 944 1.0× 335 1.1× 123 0.8× 158 1.1× 121 0.9× 13 1.0k
Morgane Macheret Switzerland 5 846 0.9× 261 0.8× 147 1.0× 169 1.2× 114 0.8× 6 936
Rémy Betous France 15 1.3k 1.4× 386 1.2× 232 1.6× 167 1.2× 186 1.4× 19 1.3k
Arne Nedergaard Kousholt Denmark 13 850 0.9× 372 1.2× 104 0.7× 102 0.7× 144 1.1× 15 934

Countries citing papers authored by Carol E. Bansbach

Since Specialization
Citations

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

Fields of papers citing papers by Carol E. Bansbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol E. Bansbach. 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 Carol E. Bansbach. The network helps show where Carol E. Bansbach may publish in the future.

Co-authorship network of co-authors of Carol E. Bansbach

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

All Works

9 of 9 papers shown
1.
Bansbach, Carol E., et al.. (2013). Phosphorylation of a C-terminal auto-inhibitory domain increases SMARCAL1 activity. Nucleic Acids Research. 42(2). 918–925. 12 indexed citations
2.
Couch, Frank B., Carol E. Bansbach, Robert Driscoll, et al.. (2013). ATR phosphorylates SMARCAL1 to prevent replication fork collapse. Genes & Development. 27(14). 1610–1623. 321 indexed citations
3.
Betous, Rémy, Aaron C. Mason, Robert P. Rambo, et al.. (2012). SMARCAL1 catalyzes fork regression and Holliday junction migration to maintain genome stability during DNA replication. Genes & Development. 26(2). 151–162. 236 indexed citations
4.
Bansbach, Carol E. & David Cortez. (2011). Defining genome maintenance pathways using functional genomic approaches. Critical Reviews in Biochemistry and Molecular Biology. 46(4). 327–341. 5 indexed citations
5.
Nam, Edward A., Runxiang Zhao, Gloria G. Glick, et al.. (2011). Thr-1989 Phosphorylation Is a Marker of Active Ataxia Telangiectasia-mutated and Rad3-related (ATR) Kinase. Journal of Biological Chemistry. 286(33). 28707–28714. 95 indexed citations
6.
Bansbach, Carol E., Cornelius F. Boerkoel, & David Cortez. (2010). SMARCAL1 and replication stress: An explanation for SIOD?. Nucleus. 1(3). 245–248. 33 indexed citations
7.
Bansbach, Carol E., Cornelius F. Boerkoel, & David Cortez. (2010). SMARCAL1 and replication stress. Nucleus. 1(3). 245–248. 9 indexed citations
8.
Bansbach, Carol E., Rémy Betous, Courtney A. Lovejoy, Gloria G. Glick, & David Cortez. (2009). The annealing helicase SMARCAL1 maintains genome integrity at stalled replication forks. Genes & Development. 23(20). 2405–2414. 197 indexed citations
9.
Lovejoy, Courtney A., Xin Xu, Carol E. Bansbach, et al.. (2009). Functional genomic screens identify CINP as a genome maintenance protein. Proceedings of the National Academy of Sciences. 106(46). 19304–19309. 45 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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