Robert N. Plasschaert

655 total citations
7 papers, 449 citations indexed

About

Robert N. Plasschaert is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Robert N. Plasschaert has authored 7 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Neurology. Recurrent topics in Robert N. Plasschaert's work include Genetic Syndromes and Imprinting (2 papers), Epigenetics and DNA Methylation (2 papers) and Genomics and Chromatin Dynamics (2 papers). Robert N. Plasschaert is often cited by papers focused on Genetic Syndromes and Imprinting (2 papers), Epigenetics and DNA Methylation (2 papers) and Genomics and Chromatin Dynamics (2 papers). Robert N. Plasschaert collaborates with scholars based in United States, Netherlands and Puerto Rico. Robert N. Plasschaert's co-authors include Marisa S. Bartolomei, Paul M. Lieberman, Zhong Deng, Ramana V. Davuluri, Nicholas Stong, Zhuo Wang, Harold Riethman, Fang Lü, Yisel Rivera-Molina and Qiyi Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Robert N. Plasschaert

7 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert N. Plasschaert United States 6 343 163 91 66 57 7 449
Mintie Pu United States 7 659 1.9× 129 0.8× 51 0.6× 26 0.4× 54 0.9× 10 750
П. М. Пономаренко Russia 16 324 0.9× 198 1.2× 43 0.5× 26 0.4× 42 0.7× 49 541
Л. К. Савинкова Russia 16 349 1.0× 209 1.3× 41 0.5× 27 0.4× 45 0.8× 50 557
Anna Shestakova United States 9 329 1.0× 90 0.6× 112 1.2× 13 0.2× 41 0.7× 17 536
Cindy Aknin France 9 426 1.2× 293 1.8× 14 0.2× 137 2.1× 35 0.6× 13 578
Heather K. Evans United States 10 239 0.7× 202 1.2× 24 0.3× 65 1.0× 15 0.3× 13 340
Nada Kubikova United Kingdom 6 399 1.2× 100 0.6× 27 0.3× 50 0.8× 15 0.3× 10 464
Anne‐Marie Birot France 10 406 1.2× 79 0.5× 75 0.8× 8 0.1× 37 0.6× 14 554
O Hanscombe United Kingdom 9 757 2.2× 342 2.1× 39 0.4× 33 0.5× 27 0.5× 10 860
Pauline A. Fujita United States 5 432 1.3× 103 0.6× 21 0.2× 16 0.2× 18 0.3× 5 537

Countries citing papers authored by Robert N. Plasschaert

Since Specialization
Citations

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

Fields of papers citing papers by Robert N. Plasschaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert N. Plasschaert. 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 Robert N. Plasschaert. The network helps show where Robert N. Plasschaert may publish in the future.

Co-authorship network of co-authors of Robert N. Plasschaert

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

All Works

7 of 7 papers shown
1.
Plasschaert, Robert N., Mark P. DeAndrade, Aimin Yan, et al.. (2022). High-throughput analysis of hematopoietic stem cell engraftment after intravenous and intracerebroventricular dosing. Molecular Therapy. 30(10). 3209–3225. 9 indexed citations
2.
Lü, Fang, Robert N. Plasschaert, Zhong Deng, et al.. (2014). CTCF Binding to the First Intron of the Major Immediate Early (MIE) Gene of Human Cytomegalovirus (HCMV) Negatively Regulates MIE Gene Expression and HCMV Replication. Journal of Virology. 88(13). 7389–7401. 46 indexed citations
3.
Plasschaert, Robert N., Sébastien Vigneau, Italo Tempera, et al.. (2014). CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation. Nucleic Acids Research. 42(11). 7487–7487. 3 indexed citations
4.
Plasschaert, Robert N. & Marisa S. Bartolomei. (2014). Genomic imprinting in development, growth, behavior and stem cells. Development. 141(9). 1805–1813. 155 indexed citations
5.
Plasschaert, Robert N. & Marisa S. Bartolomei. (2014). Tissue-specific regulation and function of Grb10 during growth and neuronal commitment. Proceedings of the National Academy of Sciences. 112(22). 6841–6847. 46 indexed citations
6.
Plasschaert, Robert N., Sébastien Vigneau, Italo Tempera, et al.. (2013). CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation. Nucleic Acids Research. 42(2). 774–789. 50 indexed citations
7.
Deng, Zhong, Zhuo Wang, Nicholas Stong, et al.. (2012). A role for CTCF and cohesin in subtelomere chromatin organization, TERRA transcription, and telomere end protection. The EMBO Journal. 31(21). 4165–4178. 140 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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