Scott Houghtaling

675 total citations
11 papers, 544 citations indexed

About

Scott Houghtaling is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Scott Houghtaling has authored 11 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Scott Houghtaling's work include DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Scott Houghtaling is often cited by papers focused on DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Scott Houghtaling collaborates with scholars based in United States, United Kingdom and Canada. Scott Houghtaling's co-authors include Markus Grompe, Milton J. Finegold, Meenakshi Noll, M. Stephen Meyn, Stephen N. Jones, Cynthia Timmers, Toshiyasu Taniguchi, Yassmine Akkari, Alan D. D’Andrea and Steven Margossian and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Blood.

In The Last Decade

Scott Houghtaling

10 papers receiving 537 citations

Peers

Scott Houghtaling

MB

CR

ONCOL

GENET

CB

Massimo Bogliolo Spain

Kazuhiro Morishita Japan

Britta Wieland Germany

Senthilkumar Cinghu United States

Chih‐Chao Liang United Kingdom

Kazutsune Yamagata Japan

René Meyer United States

Beatrice Schuster Germany

Daniela Endt Germany

Aiko Kinomura Japan

Massimo Bogliolo Spain

Scott Houghtaling

608 ×1.3

MB

165 ×0.9

CR

122 ×1.1

ONCOL

170 ×1.8

GENET

59 ×1.1

CB

Citations per year, relative to Scott Houghtaling Scott Houghtaling (= 1×) peers Massimo Bogliolo

Countries citing papers authored by Scott Houghtaling

Since Specialization

Citations

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

Fields of papers citing papers by Scott Houghtaling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Houghtaling. 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 Scott Houghtaling. The network helps show where Scott Houghtaling may publish in the future.

Co-authorship network of co-authors of Scott Houghtaling

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

All Works

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11 of 11 papers shown

1.

Houghtaling, Scott, et al.. (2025). Inhibition of Hedgehog signaling does not mitigate polycystic kidney disease severity in a Pkd1 mutant mouse model. Journal of Cell Science. 138(20).

2.

Houghtaling, Scott, et al.. (2024). A conditional smoothened (smo) allele on an inbred C57BL/6J genetic background has a hypomorphic smo mutant phenotype. Developmental Biology. 518. 71–76. 1 indexed citations

3.

Houghtaling, Scott, Leena Kadam, James W. MacDonald, et al.. (2023). Mono(2-ethylhexyl) phthalate induces transcriptomic changes in placental cells based on concentration, fetal sex, and trophoblast cell type. Archives of Toxicology. 97(3). 831–847. 13 indexed citations

4.

Ha, Seungshin, Scott Houghtaling, Andrew E. Timms, et al.. (2022). The arginine methyltransferaseCarm1is necessary for heart development. G3 Genes Genomes Genetics. 12(8). 4 indexed citations

5.

Jiménez, Alberto José López, et al.. (2019). Loss of function of Colgalt1 disrupts collagen post-translational modification and causes musculoskeletal defects. Disease Models & Mechanisms. 12(6). 25 indexed citations

6.

Houghtaling, Scott, et al.. (2017). The SWI/SNF ATP-dependent nucleosome remodeler promotes resection initiation at a DNA double-strand break in yeast. Nucleic Acids Research. 45(10). 5887–5900. 27 indexed citations

7.

Zhang, Qing‐Shuo, Scott Houghtaling, James B. Mitchell, et al.. (2008). Tempol Protects against Oxidative Damage and Delays Epithelial Tumor Onset in Fanconi Anemia Mice. Cancer Research. 68(5). 1601–1608. 53 indexed citations

8.

Houghtaling, Scott, et al.. (2005). Fancd2 functions in a double strand break repair pathway that is distinct from non-homologous end joining. Human Molecular Genetics. 14(20). 3027–3033. 42 indexed citations

9.

Houghtaling, Scott, Laura Granville, Yassmine Akkari, et al.. (2005). Heterozygosity for p53 (Trp53 +/−) Accelerates Epithelial Tumor Formation in Fanconi Anemia Complementation Group D2 (Fancd2) Knockout Mice. Cancer Research. 65(1). 85–91. 45 indexed citations

10.

de, Rocío Montes, Paul R. Andreassen, Steven Margossian, et al.. (2004). Regulated interaction of the Fanconi anemia protein, FANCD2, with chromatin. Blood. 105(3). 1003–1009. 112 indexed citations

11.

Houghtaling, Scott, Cynthia Timmers, Meenakshi Noll, et al.. (2003). Epithelial cancer in Fanconi anemia complementation group D2 (Fancd2) knockout mice. Genes & Development. 17(16). 2021–2035. 222 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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