Jim Selfridge

6.5k total citations · 1 hit paper
42 papers, 4.8k citations indexed

About

Jim Selfridge is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Jim Selfridge has authored 42 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 22 papers in Genetics and 10 papers in Cognitive Neuroscience. Recurrent topics in Jim Selfridge's work include Genetics and Neurodevelopmental Disorders (17 papers), Epigenetics and DNA Methylation (12 papers) and DNA Repair Mechanisms (11 papers). Jim Selfridge is often cited by papers focused on Genetics and Neurodevelopmental Disorders (17 papers), Epigenetics and DNA Methylation (12 papers) and DNA Repair Mechanisms (11 papers). Jim Selfridge collaborates with scholars based in United Kingdom, United States and Egypt. Jim Selfridge's co-authors include Adrian Bird, Jacky Guy, Stuart Cobb, David W. Melton, Jian Gan, Hélène Cheval, Jim McWhir, Shoshana Squires, David J. Harrison and Cara Merusi and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Jim Selfridge

41 papers receiving 4.7k citations

Hit Papers

Reversal of Neurological Defects in a Mouse Model of Rett... 2007 2026 2013 2019 2007 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
Jim Selfridge United Kingdom 30 3.9k 2.4k 1.1k 343 285 42 4.8k
Dag H. Yasui United States 32 2.4k 0.6× 1.9k 0.8× 792 0.7× 225 0.7× 141 0.5× 46 3.5k
Michael E. Talkowski United States 32 2.7k 0.7× 1.9k 0.8× 489 0.5× 323 0.9× 249 0.9× 100 4.3k
Karen Brøndum‐Nielsen Denmark 34 2.3k 0.6× 2.0k 0.8× 514 0.5× 137 0.4× 168 0.6× 137 4.1k
Laurence Colleaux France 41 3.3k 0.9× 2.3k 0.9× 504 0.5× 379 1.1× 149 0.5× 93 5.1k
Santhosh Girirajan United States 34 2.5k 0.6× 3.4k 1.4× 1.0k 1.0× 251 0.7× 90 0.3× 82 5.0k
Ignatia B. Van den Veyver United States 30 3.4k 0.9× 4.7k 1.9× 1.9k 1.8× 223 0.7× 94 0.3× 105 6.7k
Skirmantas Kriaučionis United Kingdom 23 4.2k 1.1× 1.8k 0.7× 490 0.5× 386 1.1× 122 0.4× 37 4.8k
Nicoletta Landsberger Italy 30 4.4k 1.1× 2.9k 1.2× 762 0.7× 278 0.8× 245 0.9× 73 5.6k
Jacky Guy United Kingdom 27 4.3k 1.1× 3.9k 1.6× 1.9k 1.8× 231 0.7× 114 0.4× 33 5.7k
André Hanauer France 35 4.0k 1.0× 2.5k 1.0× 657 0.6× 278 0.8× 412 1.4× 86 5.5k

Countries citing papers authored by Jim Selfridge

Since Specialization
Citations

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

Fields of papers citing papers by Jim Selfridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Selfridge

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Selfridge. A scholar is included among the top collaborators of Jim Selfridge 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 Jim Selfridge. Jim Selfridge 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.
Quante, Timo, Konstantina Skourti-Stathaki, Justyna Cholewa-Waclaw, et al.. (2021). SALL4 controls cell fate in response to DNA base composition. Molecular Cell. 81(4). 845–858.e8. 27 indexed citations
2.
Tillotson, Rebekah, Justyna Cholewa-Waclaw, John Connelly, et al.. (2021). Neuronal non-CG methylation is an essential target for MeCP2 function. Molecular Cell. 81(6). 1260–1275.e12. 29 indexed citations
3.
Lyst, Matthew J., Robert Ekiert, Jacky Guy, et al.. (2018). Affinity for DNA Contributes to NLS Independent Nuclear Localization of MeCP2. Cell Reports. 24(9). 2213–2220. 30 indexed citations
4.
Lagger, Sabine, John Connelly, Gabriele Schweikert, et al.. (2017). MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain. PLoS Genetics. 13(5). e1006793–e1006793. 101 indexed citations
5.
Guy, Jacky, Jim Selfridge, K.E. Tanner, et al.. (2016). Exclusive expression of MeCP2 in the nervous system distinguishes between brain and peripheral Rett syndrome-like phenotypes. Human Molecular Genetics. 25(20). ddw269–ddw269. 51 indexed citations
6.
Selfridge, Jim, Sabine Lagger, John Connelly, et al.. (2015). The molecular basis of variable phenotypic severity among common missense mutations causing Rett syndrome. Human Molecular Genetics. 25(3). 558–570. 72 indexed citations
7.
Lyst, Matthew J., Robert Ekiert, Daniel H. Ebert, et al.. (2013). Rett syndrome mutations abolish the interaction of MeCP2 with the NCoR/SMRT co-repressor. Nature Neuroscience. 16(7). 898–902. 288 indexed citations
8.
McLeod, Faye, et al.. (2012). Reduced seizure threshold and altered network oscillatory properties in a mouse model of Rett syndrome. Neuroscience. 231. 195–205. 44 indexed citations
9.
Cheval, Hélène, Jacky Guy, Cara Merusi, et al.. (2012). Postnatal inactivation reveals enhanced requirement for MeCP2 at distinct age windows. Human Molecular Genetics. 21(17). 3806–3814. 71 indexed citations
10.
Robinson, Lianne, Jacky Guy, Leanne C. McKay, et al.. (2012). Morphological and functional reversal of phenotypes in a mouse model of Rett syndrome. Brain. 135(9). 2699–2710. 108 indexed citations
11.
Lowry, Paul Benjamin, et al.. (2011). Why do Healthcare Organizations Choose to Violate Information Technology Privacy Regulations? Proposing the Selective Information Privacy Violations in Healthcare Organizations Model (SIPVHOM). SSRN Electronic Journal. 11(138). 1 indexed citations
12.
Kunz, C, Jim Selfridge, Teresa Lettieri, et al.. (2011). Embryonic lethal phenotype reveals a function of TDG in maintaining epigenetic stability. Nature. 470(7334). 419–423. 292 indexed citations
13.
Song, Liang, Andrew Winter, Jim Selfridge, & David W. Melton. (2010). A novel transcript for DNA repair gene Ercc1 in mouse skin. Transgenic Research. 20(1). 109–122. 3 indexed citations
14.
Selfridge, Jim, Liang Song, David G. Brownstein, & David W. Melton. (2010). Mice with DNA repair gene Ercc1 deficiency in a neural crest lineage are a model for late-onset Hirschsprung disease. DNA repair. 9(6). 653–660. 14 indexed citations
15.
Kunz, C, Frauke Focke, Yusuke Saito, et al.. (2009). Base Excision by Thymine DNA Glycosylase Mediates DNA-Directed Cytotoxicity of 5-Fluorouracil. PLoS Biology. 7(4). e1000091–e1000091. 97 indexed citations
16.
Guy, Jacky, Jian Gan, Jim Selfridge, Stuart Cobb, & Adrian Bird. (2007). Reversal of Neurological Defects in a Mouse Model of Rett Syndrome. Science. 315(5815). 1143–1147. 874 indexed citations breakdown →
18.
Nuber, Ulrike A., Skirmantas Kriaučionis, Tim Roloff, et al.. (2005). Up-regulation of glucocorticoid-regulated genes in a mouse model of Rett syndrome. Human Molecular Genetics. 14(15). 2247–2256. 150 indexed citations
19.
Moore, Richard C., James Hope, Patricia McBride, et al.. (1998). Mice with gene targetted prion protein alterations show that Prnp, Sine and Prni are congruent. Nature Genetics. 18(2). 118–125. 151 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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