Ed Grabczyk

1.7k total citations
23 papers, 1.5k citations indexed

About

Ed Grabczyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Ed Grabczyk has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Ed Grabczyk's work include Genetic Neurodegenerative Diseases (11 papers), DNA Repair Mechanisms (9 papers) and Mitochondrial Function and Pathology (7 papers). Ed Grabczyk is often cited by papers focused on Genetic Neurodegenerative Diseases (11 papers), DNA Repair Mechanisms (9 papers) and Mitochondrial Function and Pathology (7 papers). Ed Grabczyk collaborates with scholars based in United States. Ed Grabczyk's co-authors include Mark C. Fishman, Howard J. Federoff, Mimi C. Sammarco, Karen Usdin, Scott Ditch, Shi‐Chung Ng, Suzanne M. de la Monte, Robert L. Nussbaum, Ali Entezam and Tapas Saha and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Ed Grabczyk

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Grabczyk United States 18 1.2k 739 372 157 97 23 1.5k
Filip A. Konopacki United Kingdom 15 681 0.6× 430 0.6× 142 0.4× 173 1.1× 61 0.6× 17 1.1k
Laura Croci Italy 20 808 0.7× 365 0.5× 183 0.5× 140 0.9× 59 0.6× 33 1.4k
Marcin Rylski Poland 15 735 0.6× 370 0.5× 138 0.4× 134 0.9× 81 0.8× 29 1.3k
Simone M. Smits Netherlands 15 622 0.5× 796 1.1× 127 0.3× 63 0.4× 59 0.6× 26 1.1k
Magdalena Dziembowska Poland 17 604 0.5× 272 0.4× 302 0.8× 92 0.6× 189 1.9× 33 1.1k
Yongcheol Cho South Korea 18 1.1k 0.9× 890 1.2× 343 0.9× 249 1.6× 196 2.0× 34 1.8k
Marie-Catherine Tiveron France 17 906 0.8× 538 0.7× 204 0.5× 203 1.3× 72 0.7× 28 1.6k
John Neidhardt Germany 29 2.1k 1.8× 592 0.8× 572 1.5× 268 1.7× 35 0.4× 63 2.4k
Christian Proepper Germany 14 591 0.5× 286 0.4× 201 0.5× 163 1.0× 127 1.3× 21 878
Marie Mangelsdorf Australia 18 1.1k 0.9× 275 0.4× 950 2.6× 52 0.3× 138 1.4× 24 1.6k

Countries citing papers authored by Ed Grabczyk

Since Specialization
Citations

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

Fields of papers citing papers by Ed Grabczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Grabczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Grabczyk. A scholar is included among the top collaborators of Ed Grabczyk 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 Ed Grabczyk. Ed Grabczyk 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.
Roy, Jennie C. L., Antonia Vitalo, Marina Kovalenko, et al.. (2021). Somatic CAG expansion in Huntington's disease is dependent on the MLH3 endonuclease domain, which can be excluded via splice redirection. Nucleic Acids Research. 49(7). 3907–3918. 19 indexed citations
2.
3.
Ditch, Scott, et al.. (2012). DNA Mismatch Repair Complex MutSβ Promotes GAA·TTC Repeat Expansion in Human Cells. Journal of Biological Chemistry. 287(35). 29958–29967. 56 indexed citations
4.
Sammarco, Mimi C., et al.. (2010). Transposon Tn7 Preferentially Inserts into GAA•TTC Triplet Repeats under Conditions Conducive to Y•R•Y Triplex Formation. PLoS ONE. 5(6). e11121–e11121. 3 indexed citations
5.
Ditch, Scott, Mimi C. Sammarco, Ayan Banerjee, & Ed Grabczyk. (2009). Progressive GAA·TTC Repeat Expansion in Human Cell Lines. PLoS Genetics. 5(10). e1000704–e1000704. 52 indexed citations
6.
Banerjee, Ayan, Mimi C. Sammarco, Scott Ditch, Jeffrey Wang, & Ed Grabczyk. (2009). A Novel Tandem Reporter Quantifies RNA Polymerase II Termination in Mammalian Cells. PLoS ONE. 4(7). e6193–e6193. 26 indexed citations
7.
Banerjee, Ayan, Mimi C. Sammarco, Scott Ditch, & Ed Grabczyk. (2009). A dual reporter approach to quantify defects in messenger RNA processing. Analytical Biochemistry. 395(2). 237–243. 3 indexed citations
8.
Sammarco, Mimi C., Scott Ditch, A Banerjee, & Ed Grabczyk. (2008). Ferritin L and H subunits are differentially regulated on a post‐transcriptional level. The FASEB Journal. 22(S1). 1 indexed citations
9.
Entezam, Ali, Bonnie M. Orrison, Tapas Saha, et al.. (2007). Regional FMRP deficits and large repeat expansions into the full mutation range in a new Fragile X premutation mouse model. Gene. 395(1-2). 125–134. 148 indexed citations
10.
Sammarco, Mimi C., et al.. (2007). Ferritin L and H Subunits Are Differentially Regulated on a Post-transcriptional Level. Journal of Biological Chemistry. 283(8). 4578–4587. 76 indexed citations
11.
Grabczyk, Ed, et al.. (2007). A persistent RNA{middle dot}DNA hybrid formed by transcription of the Friedreich ataxia triplet repeat in live bacteria, and by T7 RNAP in vitro. Nucleic Acids Research. 35(16). 5351–5359. 131 indexed citations
12.
Sammarco, Mimi C. & Ed Grabczyk. (2005). A series of bidirectional tetracycline-inducible promoters provides coordinated protein expression. Analytical Biochemistry. 346(2). 210–216. 17 indexed citations
13.
Grabczyk, Ed, Daman Kumari, & Karen Usdin. (2001). Fragile X syndrome and Friedreich’s ataxia: two different paradigms for repeat induced transcript insufficiency. Brain Research Bulletin. 56(3-4). 367–373. 17 indexed citations
14.
15.
Grabczyk, Ed. (2000). Alleviating transcript insufficiency caused by Friedreich's ataxia triplet repeats. Nucleic Acids Research. 28(24). 4930–4937. 56 indexed citations
16.
Usdin, Karen & Ed Grabczyk. (2000). DNA repeat expansions and human disease. Cellular and Molecular Life Sciences. 57(6). 914–931. 84 indexed citations
17.
Lavedan, Christian, Ed Grabczyk, Karen Usdin, & Robert L. Nussbaum. (1998). Long Uninterrupted CGG Repeats within the First Exon of the Human FMR1 Gene Are Not Intrinsically Unstable in Transgenic Mice. Genomics. 50(2). 229–240. 48 indexed citations
18.
Grabczyk, Ed & Mark C. Fishman. (1995). A Long Purine-Pyrimidine Homopolymer Acts as a Transcriptional Diode. Journal of Biological Chemistry. 270(4). 1791–1797. 62 indexed citations
19.
Grabczyk, Ed, Mauricio X. Zuber, Howard J. Federoff, et al.. (1990). Cloning and Characterization of the Rat Gene Encoding GAP‐43. European Journal of Neuroscience. 2(10). 822–827. 38 indexed citations
20.
Monte, Suzanne M. de la, Howard J. Federoff, Shi‐Chung Ng, Ed Grabczyk, & Mark C. Fishman. (1989). GAP-43 gene expression during development: persistence in a distinctive set of neurons in the mature central nervous system. Developmental Brain Research. 46(2). 161–168. 172 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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