T G Sherratt

518 total citations
10 papers, 422 citations indexed

About

T G Sherratt is a scholar working on Molecular Biology, Biomaterials and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, T G Sherratt has authored 10 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in T G Sherratt's work include Muscle Physiology and Disorders (6 papers), Silk-based biomaterials and applications (3 papers) and CRISPR and Genetic Engineering (2 papers). T G Sherratt is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Silk-based biomaterials and applications (3 papers) and CRISPR and Genetic Engineering (2 papers). T G Sherratt collaborates with scholars based in United Kingdom, Italy and United States. T G Sherratt's co-authors include Peter N. Strong, Tom Vulliamy, Victor Dubowitz, Caroline A. Sewry, Maria Cristina Morelli, Christine J. Harrison, João B. Relvas, Diana J. Watt, Jill Moss and J. Karasiński and has published in prestigious journals such as Biochemical Journal, Journal of Cell Science and Journal of Medical Genetics.

In The Last Decade

T G Sherratt

9 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T G Sherratt United Kingdom 8 373 98 94 78 55 10 422
Marybeth Camboni United States 11 406 1.1× 102 1.0× 166 1.8× 54 0.7× 95 1.7× 14 478
Penny L Harding Australia 6 513 1.4× 64 0.7× 168 1.8× 104 1.3× 84 1.5× 7 589
Patrizia Barzaghi Switzerland 8 555 1.5× 79 0.8× 76 0.8× 51 0.7× 90 1.6× 9 653
Karen Farmer United States 6 383 1.0× 62 0.6× 64 0.7× 65 0.8× 38 0.7× 8 423
J.E. Morgan United Kingdom 6 324 0.9× 52 0.5× 96 1.0× 77 1.0× 42 0.8× 17 388
Kim Shontz United States 5 374 1.0× 86 0.9× 133 1.4× 80 1.0× 73 1.3× 11 445
Ramón Rı́os Spain 8 423 1.1× 78 0.8× 80 0.9× 90 1.2× 132 2.4× 15 519
Robert E. Welikson United States 14 385 1.0× 146 1.5× 113 1.2× 34 0.4× 27 0.5× 18 487
AK Lampe United Kingdom 6 310 0.8× 55 0.6× 113 1.2× 62 0.8× 24 0.4× 8 453
Julian N. Ramos United States 9 366 1.0× 65 0.7× 167 1.8× 40 0.5× 58 1.1× 10 401

Countries citing papers authored by T G Sherratt

Since Specialization
Citations

This map shows the geographic impact of T G Sherratt'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 T G Sherratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T G Sherratt more than expected).

Fields of papers citing papers by T G Sherratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T G Sherratt. 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 T G Sherratt. The network helps show where T G Sherratt may publish in the future.

Co-authorship network of co-authors of T G Sherratt

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

All Works

10 of 10 papers shown
1.
Barro, Paul De, T G Sherratt, S. D. Wratten, & Norman Maclean. (2013). DNA fingerprinting of cereal aphids using (GATA)4. European Journal of Entomology. 91(1). 109–114.
2.
Morelli, Maria Cristina, T G Sherratt, Cecilia Trabanelli, et al.. (1997). Characterization of a 4-Mb region at chromosome 6q21 harboring a replicative senescence gene.. Institutional Research Information System University of Ferrara (University of Ferrara). 57(19). 4153–7. 16 indexed citations
4.
Sherratt, T G, Lesley Iwanejko, Cecilia Trabanelli, et al.. (1996). Physical Analysis of Part of Band 6q21 Harboring a Putative Tumor Suppressor Gene and a Putative Senescence Gene. DNA sequence. 7(1). 43–45. 1 indexed citations
5.
Karasiński, J., João B. Relvas, Jill Moss, et al.. (1995). Dermal fibroblasts convert to a myogenic lineage in mdx mouse muscle. Journal of Cell Science. 108(1). 207–214. 69 indexed citations
6.
Muntoni, Francesco, Paola Gobbi, Caroline A. Sewry, et al.. (1994). Deletions in the 5' region of dystrophin and resulting phenotypes.. Journal of Medical Genetics. 31(11). 843–847. 66 indexed citations
7.
Sherratt, T G, Tom Vulliamy, Victor Dubowitz, Caroline A. Sewry, & Peter N. Strong. (1993). Exon skipping and translation in patients with frameshift deletions in the dystrophin gene.. PubMed. 53(5). 1007–15. 86 indexed citations
8.
Sewry, Caroline A., Angela Clerk, T G Sherratt, et al.. (1993). Manifesting carriers of Xp21 muscular dystrophy; Lack of correlation between dystrophin expression and clinical weakness. Neuromuscular Disorders. 3(2). 141–148. 26 indexed citations
9.
Gangopadhyay, Suman B., T G Sherratt, J Z Heckmatt, et al.. (1992). Dystrophin in frameshift deletion patients with Becker muscular dystrophy.. PubMed. 51(3). 562–70. 64 indexed citations
10.
Sherratt, T G, Tom Vulliamy, & Peter N. Strong. (1992). Evolutionary conservation of the dystrophin central rod domain. Biochemical Journal. 287(3). 755–759. 52 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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