E Cartwright

648 total citations
9 papers, 552 citations indexed

About

E Cartwright is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ecology. According to data from OpenAlex, E Cartwright has authored 9 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Ecology. Recurrent topics in E Cartwright's work include Molecular Biology Techniques and Applications (3 papers), RNA Research and Splicing (3 papers) and Glycosylation and Glycoproteins Research (2 papers). E Cartwright is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), RNA Research and Splicing (3 papers) and Glycosylation and Glycoproteins Research (2 papers). E Cartwright collaborates with scholars based in United Kingdom and United States. E Cartwright's co-authors include G.G. Brownlee, John M. Jarvis, César Milstein, Nina V. Fedoroff, Donald D. Brown, George G. Brownlee, Jim Miller, Nicholas Proudfoot, Nicholas J. Cowan and G. Nicholas Europe‐Finner and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

E Cartwright

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Cartwright United Kingdom 8 471 83 67 57 56 9 552
A.-M. Frischauf Germany 9 502 1.1× 44 0.5× 208 3.1× 53 0.9× 51 0.9× 11 709
Roumen Tsanev Bulgaria 16 592 1.3× 40 0.5× 108 1.6× 93 1.6× 21 0.4× 43 692
J. Antonie Maassen Netherlands 11 486 1.0× 45 0.5× 117 1.7× 25 0.4× 27 0.5× 16 548
C Goyer Canada 11 644 1.4× 29 0.3× 36 0.5× 52 0.9× 30 0.5× 11 718
Maurice J. Frenkel Australia 9 359 0.8× 70 0.8× 47 0.7× 45 0.8× 57 1.0× 12 542
Gabriella Galli Italy 7 838 1.8× 32 0.4× 122 1.8× 68 1.2× 31 0.6× 9 925
Yong Tao China 12 527 1.1× 62 0.7× 68 1.0× 49 0.9× 27 0.5× 25 644
L. D. Hodge United States 13 452 1.0× 29 0.3× 211 3.1× 41 0.7× 30 0.5× 23 598
Dale Lindsley United States 17 527 1.1× 39 0.5× 141 2.1× 57 1.0× 77 1.4× 22 618
Andreas Fuchs Germany 10 356 0.8× 29 0.3× 49 0.7× 17 0.3× 33 0.6× 19 467

Countries citing papers authored by E Cartwright

Since Specialization
Citations

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

Fields of papers citing papers by E Cartwright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Cartwright

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

All Works

9 of 9 papers shown
1.
Europe‐Finner, G. Nicholas, S Phaneuf, E Cartwright, Helen J. Mardon, & A López Bernal. (1997). Expression of human myometrial Gαs messenger ribonucleic acid transcript during pregnancy and labour: involvement of alternative splicing pathways. Journal of Molecular Endocrinology. 18(1). 15–25. 10 indexed citations
2.
Europe‐Finner, G. Nicholas, et al.. (1997). Identification of Gαs messenger ribonucleic acid splice variants in human granulosa cells. Journal of Molecular Endocrinology. 18(1). 27–35. 2 indexed citations
3.
Miller, Jim, E Cartwright, George G. Brownlee, Nina V. Fedoroff, & Donald D. Brown. (1978). The nucleotide sequence of oocyte 5S DNA in Xenopus laevis. II. The GC-rich region. Cell. 13(4). 717–725. 158 indexed citations
4.
Brownlee, G.G. & E Cartwright. (1977). Rapid gel sequencing of RNA by primed synthesis with reverse transcriptase. Journal of Molecular Biology. 114(1). 93–117. 60 indexed citations
5.
Brownlee, G.G. & E Cartwright. (1975). The nucleotide sequence of the 5S RNA of chicken embryo fibroblasts. Nucleic Acids Research. 2(12). 2279–2288. 22 indexed citations
6.
Milstein, César, G.G. Brownlee, E Cartwright, John M. Jarvis, & Nicholas Proudfoot. (1974). Sequence analysis of immunoglobulin light chain messenger RNA. Nature. 252(5482). 354–359. 101 indexed citations
7.
Brownlee, G.G., E Cartwright, Nicholas J. Cowan, John M. Jarvis, & César Milstein. (1973). Purification and Sequence of Messenger RNA for Immunoglobulin Light Chains. Nature New Biology. 244(138). 236–240. 90 indexed citations
8.
Brownlee, G.G. & E Cartwright. (1972). The nucleotide sequence of somatic 5 S RNA from Xenopus laevis. FEBS Letters. 25(1). 8–12. 71 indexed citations
9.
Brownlee, G.G. & E Cartwright. (1971). Sequence Studies on Precursor 16S Ribosomal RNA of Escherichia coli. Nature New Biology. 232(28). 50–52. 38 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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