Bart M. G. Smits

2.5k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Bart M. G. Smits is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Bart M. G. Smits has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Bart M. G. Smits's work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Bart M. G. Smits is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Bart M. G. Smits collaborates with scholars based in Netherlands, United States and Germany. Bart M. G. Smits's co-authors include Michael N. Gould, Jill D. Haag, Anna I. Rissman, Christina Kendziorski, Ning Leng, John A. Dawson, Ron Stewart, James A. Thomson, Victor Ruotti and Edwin Cuppen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Bart M. G. Smits

25 papers receiving 1.7k citations

Hit Papers

EBSeq: an empirical Bayes hierarchical model for inferenc... 2013 2026 2017 2021 2013 250 500 750

Peers

Bart M. G. Smits
Kim D. Finley United States
Karen L. Thijssen Netherlands
Tom E. Porter United States
Elizabeth C. Bryda United States
Kalle Kilk Estonia
Duncan H. L. Robertson United Kingdom
Bart M. G. Smits
Citations per year, relative to Bart M. G. Smits Bart M. G. Smits (= 1×) peers Bernard Lakaye

Countries citing papers authored by Bart M. G. Smits

Since Specialization
Citations

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

Fields of papers citing papers by Bart M. G. Smits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart M. G. Smits. 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 Bart M. G. Smits. The network helps show where Bart M. G. Smits may publish in the future.

Co-authorship network of co-authors of Bart M. G. Smits

This figure shows the co-authorship network connecting the top 25 collaborators of Bart M. G. Smits. A scholar is included among the top collaborators of Bart M. G. Smits 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 Bart M. G. Smits. Bart M. G. Smits 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.
Ding, Lina, Nicholas W. Harper, Kunihiko Hinohara, et al.. (2019). Deletion of Cdkn1b in ACI rats leads to increased proliferation and pregnancy-associated changes in the mammary gland due to perturbed systemic endocrine environment. PLoS Genetics. 15(3). e1008002–e1008002. 6 indexed citations
2.
Garrett‐Mayer, Elizabeth, Anna I. Rissman, Stephen T. Guest, et al.. (2018). Deletion of the murine ortholog of the 8q24 gene desert has anti-cancer effects in transgenic mammary cancer models. BMC Cancer. 18(1). 1233–1233. 7 indexed citations
3.
Henning, Amanda N., Jill D. Haag, Bart M. G. Smits, & Michael N. Gould. (2016). The Non-coding Mammary Carcinoma Susceptibility Locus, Mcs5c, Regulates Pappa Expression via Age-Specific Chromatin Folding and Allele-Dependent DNA Methylation. PLoS Genetics. 12(8). e1006261–e1006261. 10 indexed citations
4.
Smits, Bart M. G., Jill D. Haag, Anna I. Rissman, et al.. (2013). The Gene Desert Mammary Carcinoma Susceptibility Locus Mcs1a Regulates Nr2f1 Modifying Mammary Epithelial Cell Differentiation and Proliferation. PLoS Genetics. 9(6). e1003549–e1003549. 18 indexed citations
5.
Leng, Ning, John A. Dawson, James A. Thomson, et al.. (2013). EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics. 29(8). 1035–1043. 938 indexed citations breakdown →
6.
Smits, Bart M. G., et al.. (2011). An insulator loop resides between the synthetically interacting elements of the human/rat conserved breast cancer susceptibility locus MCS5A/Mcs5a. Nucleic Acids Research. 40(1). 132–147. 13 indexed citations
7.
Sharma, Deepak, et al.. (2011). Quantification of Epithelial Cell Differentiation in Mammary Glands and Carcinomas from DMBA- and MNU-Exposed Rats. PLoS ONE. 6(10). e26145–e26145. 21 indexed citations
8.
Smits, Bart M. G., Stephanie Schubert, Heike Nave, et al.. (2011). A Mutation in Myo15 Leads to Usher-Like Symptoms in LEW/Ztm-ci2 Rats. PLoS ONE. 6(3). e15669–e15669. 6 indexed citations
9.
Smits, Bart M. G., Deepak Sharma, Stephan Woditschka, et al.. (2011). The non-protein coding breast cancer susceptibility locus Mcs5a acts in a non-mammary cell-autonomous fashion through the immune system and modulates T-cell homeostasis and functions. Breast Cancer Research. 13(4). R81–R81. 21 indexed citations
10.
Boxtel, Ruben van, Michael N. Gould, Edwin Cuppen, & Bart M. G. Smits. (2009). ENU Mutagenesis to Generate Genetically Modified Rat Models. Methods in molecular biology. 597. 151–167. 26 indexed citations
11.
Boxtel, Ruben van, Pim W. Toonen, Mark Verheul, et al.. (2008). Lack of DNA mismatch repair protein MSH6 in the rat results in hereditary non-polyposis colorectal cancer-like tumorigenesis. Carcinogenesis. 29(6). 1290–1297. 16 indexed citations
12.
Homberg, Judith R., Berend Olivier, Bart M. G. Smits, et al.. (2007). Characterization of the serotonin transporter knockout rat: A selective change in the functioning of the serotonergic system. Neuroscience. 146(4). 1662–1676. 186 indexed citations
13.
Smits, Bart M. G., Michelle S. Cotroneo, Jill D. Haag, & Michael N. Gould. (2007). Genetically Engineered Rat Models for Breast Cancer. Breast Disease. 28(1). 53–61. 17 indexed citations
14.
Smits, Bart M. G., José van de Belt, Mark Verheul, et al.. (2006). Generation of gene knockouts and mutant models in the laboratory rat by ENU-driven target-selected mutagenesis. Pharmacogenetics and Genomics. 16(3). 159–169. 140 indexed citations
15.
Smits, Bart M. G. & Edwin Cuppen. (2006). Rat genetics: the next episode. Trends in Genetics. 22(4). 232–240. 13 indexed citations
16.
Guryev, Victor, Bart M. G. Smits, José van de Belt, et al.. (2006). Haplotype Block Structure Is Conserved across Mammals. PLoS Genetics. 2(7). e121–e121. 57 indexed citations
17.
Smits, Bart M. G., et al.. (2005). Efficient single nucleotide polymorphism discovery in laboratory rat strains using wild rat-derived SNP candidates. BMC Genomics. 6(1). 170–170. 14 indexed citations
18.
Smits, Bart M. G., Bert F.M. van Zutphen, Ronald H.A. Plasterk, & Edwin Cuppen. (2004). Genetic Variation in Coding Regions Between and Within Commonly Used Inbred Rat Strains. Genome Research. 14(7). 1285–1290. 34 indexed citations
19.
Smits, Bart M. G., Ursula M. D’Souza, Eugène Berezikov, Edwin Cuppen, & Frans Sluyter. (2004). Identifying polymorphisms in the Rattus norvegicus D3 dopamine receptor gene and regulatory region. Genes Brain & Behavior. 3(3). 138–148. 4 indexed citations
20.
Smits, Bart M. G., et al.. (2003). Target-selected mutagenesis of the rat. Genomics. 83(2). 332–334. 59 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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