Ingrid Plajzer-Frick

9.9k total citations · 2 hit papers
19 papers, 3.2k citations indexed

About

Ingrid Plajzer-Frick is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ingrid Plajzer-Frick has authored 19 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Ingrid Plajzer-Frick's work include Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (6 papers). Ingrid Plajzer-Frick is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (6 papers). Ingrid Plajzer-Frick collaborates with scholars based in United States, United Kingdom and Switzerland. Ingrid Plajzer-Frick's co-authors include Edward M. Rubin, Veena Afzal, L Pennacchio, Axel Visel, Jennifer A. Akiyama, Amy Holt, Malak Shoukry, Marcelo A. Nóbrega, Yiwen Zhu and Shyam Prabhakar and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ingrid Plajzer-Frick

19 papers receiving 3.1k citations

Hit Papers

In vivo enhancer analysis of human conserved non-coding s... 2006 2026 2012 2019 2006 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Plajzer-Frick United States 16 2.8k 925 424 274 170 19 3.2k
Hideyuki Tanabe Japan 24 1.8k 0.7× 507 0.5× 481 1.1× 322 1.2× 241 1.4× 63 2.4k
Wilbur R. Harrison United States 25 1.5k 0.5× 1.1k 1.2× 293 0.7× 161 0.6× 122 0.7× 49 2.7k
John Cobb United States 21 1.4k 0.5× 533 0.6× 274 0.6× 191 0.7× 93 0.5× 36 1.9k
Vincenzo Zappavigna Italy 31 2.4k 0.9× 706 0.8× 106 0.3× 190 0.7× 131 0.8× 49 2.8k
Terence D. Capellini United States 25 1.0k 0.4× 503 0.5× 88 0.2× 167 0.6× 97 0.6× 65 1.9k
Hiroshi Tarui Japan 24 1.5k 0.6× 540 0.6× 497 1.2× 268 1.0× 66 0.4× 36 2.1k
Chris Wylie United States 34 3.4k 1.2× 1.1k 1.2× 194 0.5× 152 0.6× 184 1.1× 58 4.3k
Shoa L. Clarke United States 8 2.6k 0.9× 575 0.6× 189 0.4× 448 1.6× 197 1.2× 12 3.1k
Craig B. Lowe United States 13 3.6k 1.3× 873 0.9× 826 1.9× 552 2.0× 230 1.4× 22 4.3k
Catherine Guenther United States 17 804 0.3× 465 0.5× 131 0.3× 113 0.4× 76 0.4× 19 1.3k

Countries citing papers authored by Ingrid Plajzer-Frick

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Plajzer-Frick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid Plajzer-Frick. 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 Ingrid Plajzer-Frick. The network helps show where Ingrid Plajzer-Frick may publish in the future.

Co-authorship network of co-authors of Ingrid Plajzer-Frick

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

All Works

19 of 19 papers shown
1.
Kosicki, Michael, Dianne Laboy Cintrón, Max Schubach, et al.. (2025). Massively parallel reporter assays and mouse transgenic assays provide correlated and complementary information about neuronal enhancer activity. Nature Communications. 16(1). 4786–4786. 4 indexed citations
2.
Kosicki, Michael, Vivian Hecht, Anusri Pampari, et al.. (2025). In vivo mapping of mutagenesis sensitivity of human enhancers. Nature. 643(8072). 839–846. 2 indexed citations
3.
Osterwalder, Marco, Stella Tran, Riana D. Hunter, et al.. (2021). Characterization of Mammalian In Vivo Enhancers Using Mouse Transgenesis and CRISPR Genome Editing. Methods in molecular biology. 2403. 147–186. 17 indexed citations
4.
He, Peng, Brian A. Williams, Diane Trout, et al.. (2020). The changing mouse embryo transcriptome at whole tissue and single-cell resolution. Nature. 583(7818). 760–767. 97 indexed citations
5.
Osterwalder, Marco, Iros Barozzi, Virginie Tissières, et al.. (2018). Enhancer redundancy provides phenotypic robustness in mammalian development. Nature. 554(7691). 239–243. 407 indexed citations breakdown →
6.
Monti, Remo, Iros Barozzi, Marco Osterwalder, et al.. (2017). Limb-Enhancer Genie: An accessible resource of accurate enhancer predictions in the developing limb. PLoS Computational Biology. 13(8). e1005720–e1005720. 18 indexed citations
7.
Kvon, Evgeny Z., Olga K. Kamneva, Uirá Souto Melo, et al.. (2016). Progressive Loss of Function in a Limb Enhancer during Snake Evolution. Cell. 167(3). 633–642.e11. 202 indexed citations
8.
Dickel, Diane E., Yiwen Zhu, Alex S. Nord, et al.. (2014). Function-based identification of mammalian enhancers using site-specific integration. Nature Methods. 11(5). 566–571. 62 indexed citations
9.
Attanasio, Catia, Alex S. Nord, Yiwen Zhu, et al.. (2014). Tissue-specific SMARCA4 binding at active and repressed regulatory elements during embryogenesis. Genome Research. 24(6). 920–929. 50 indexed citations
10.
Attanasio, Catia, Alex S. Nord, Yiwen Zhu, et al.. (2013). Fine Tuning of Craniofacial Morphology by Distant-Acting Enhancers. Science. 342(6157). 1241006–1241006. 170 indexed citations
11.
Nord, Alex S., Matthew J. Blow, Catia Attanasio, et al.. (2013). Rapid and Pervasive Changes in Genome-wide Enhancer Usage during Mammalian Development. Cell. 155(7). 1521–1531. 253 indexed citations
12.
May, Dalit, Matthew J. Blow, Tommy Kaplan, et al.. (2011). Large-scale discovery of enhancers from human heart tissue. Nature Genetics. 44(1). 89–93. 202 indexed citations
13.
Prabhakar, Shyam, Axel Visel, Jennifer A. Akiyama, et al.. (2009). Response to Comment on "Human-Specific Gain of Function in a Developmental Enhancer". Science. 323(5915). 714–714. 15 indexed citations
14.
Prabhakar, Shyam, Axel Visel, Jennifer A. Akiyama, et al.. (2008). Human-Specific Gain of Function in a Developmental Enhancer. Science. 321(5894). 1346–1350. 246 indexed citations
15.
Pennacchio, L, Nadav Ahituv, Alan M Moses, et al.. (2006). In vivo enhancer analysis of human conserved non-coding sequences. Nature. 444(7118). 499–502. 860 indexed citations breakdown →
16.
Loots, Gabriela G., Michaela Kneissel, H. J. Keller, et al.. (2005). Genomic deletion of a long-range bone enhancer misregulates sclerostin in Van Buchem disease. Genome Research. 15(7). 928–935. 333 indexed citations
17.
Poulin, Francis, Marcelo A. Nóbrega, Ingrid Plajzer-Frick, et al.. (2005). In vivo characterization of a vertebrate ultraconserved enhancer. Genomics. 85(6). 774–781. 59 indexed citations
18.
Nóbrega, Marcelo A., Yiwen Zhu, Ingrid Plajzer-Frick, Veena Afzal, & Edward M. Rubin. (2004). Megabase deletions of gene deserts result in viable mice. Nature. 431(7011). 988–993. 137 indexed citations
19.
Akiyama, Jennifer A., Stanislav Volik, Ingrid Plajzer-Frick, et al.. (1999). Characterization of the Mouse Collectin Gene Locus. American Journal of Respiratory Cell and Molecular Biology. 21(2). 193–199. 17 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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