E Cartwright
Impact in
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- RNA Research and Splicing 3
- Molecular Biology Techniques and Applications 3
- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
-
- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- G.G. Brownlee (6 shared papers)John M. Jarvis (2 shared papers)César Milstein (2 shared papers)Donald D. Brown (1 shared paper)Jim Miller (1 shared paper)George G. Brownlee (1 shared paper)Nina V. Fedoroff (1 shared paper)Nicholas J. Proudfoot (1 shared paper)
- Journals
- Journal of Molecular Endocrinology (2 papers)FEBS Letters (1 paper)Journal of Molecular Biology (1 paper)Nature (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
E Cartwright
9 papers receiving 491 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 505
- Radiology, Nuclear Medicine and Imaging 91
- Immunology 57
- Genetics 70
- Immunology and Allergy 14
Countries citing papers authored by E Cartwright
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
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-authors
The 13 scholars most cited alongside E Cartwright, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 164 | |
| 2 | 1974 | 114 | |
| 3 | 1973 | 101 | |
| 4 | 1972 | 79 | |
| 5 | 1977 | 63 | |
| 6 | 1971 | 44 | |
| 7 | 1975 | 24 | |
| 8 | 1997 | 10 | |
| 9 | 1997 | 2 |
About E Cartwright
E Cartwright is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Cancer Research and Oncology, having authored 9 papers that have together received 601 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Molecular Biology Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Animal Genetics and Reproduction (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Molecular Biology (505 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Immunology (57 citations), Genetics (70 citations) and Immunology and Allergy (14 citations). E Cartwright has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include G.G. Brownlee, John M. Jarvis, César Milstein, Donald D. Brown, Jim Miller, George G. Brownlee, Nina V. Fedoroff, Nicholas J. Proudfoot, Nicholas Justin Cowan and Sylvain Phaneuf. Their work appears in journals such as Journal of Molecular Endocrinology, FEBS Letters, Journal of Molecular Biology, Nature and Nucleic Acids Research.
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.