E.W. Johns
Impact in
- Molecular Biology top 2%
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Oncology top 5%
Papers in
-
- DNA and Nucleic Acid Chemistry 18
- Glycosylation and Glycoproteins Research 17
- RNA and protein synthesis mechanisms 17
- Genomics and Chromatin Dynamics 14
- Biopolymer Synthesis and Applications 6
- Oncology 12
- Co-authors
- J. A. V. Butler (8 shared papers)D. M. P. Phillips (4 shared papers)Graham H. Goodwin (10 shared papers)Bryan John Smith (5 shared papers)John M. Walker (8 shared papers)P Simson (3 shared papers)D. J. R. Laurence (4 shared papers)C Turberville (4 shared papers)
- Journals
- Journal of Chromatography A (8 papers)FEBS Letters (8 papers)Biochemical Journal (7 papers)Nature (5 papers)Experimental Cell Research (4 papers)
- Partner nations
- United KingdomBulgariaUnited States
In The Last Decade
E.W. Johns
77 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.9k
- Oncology 517
- Microbiology 96
- Spectroscopy 268
- Genetics 427
Countries citing papers authored by E.W. Johns
This map shows the geographic impact of E.W. Johns'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.W. Johns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.W. Johns more than expected).
Fields of papers citing papers by E.W. Johns
This network shows the impact of papers produced by E.W. Johns. 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.W. Johns. The network helps show where E.W. Johns may publish in the future.
Co-authors
The 25 scholars most cited alongside E.W. Johns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The HMG chromosomal proteins | 1982 | 352 |
| 2 | 1972 | 282 | |
| 3 | 1967 | 250 | |
| 4 | 1962 | 186 | |
| 5 | 1967 | 168 | |
| 6 | 1960 | 156 | |
| 7 | 1969 | 155 | |
| 8 | 1965 | 139 | |
| 9 | 1959 | 106 | |
| 10 | 1962 | 100 | |
| 11 | 1968 | 89 | |
| 12 | 1961 | 81 | |
| 13 | 1980 | 79 | |
| 14 | 1964 | 79 | |
| 15 | 1965 | 76 | |
| 16 | 1968 | 70 | |
| 17 | 1980 | 62 | |
| 18 | 1973 | 61 | |
| 19 | 1968 | 57 | |
| 20 | 1978 | 56 |
About E.W. Johns
E.W. Johns is a scholar working on Molecular Biology, Oncology, Spectroscopy, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (18 papers), Glycosylation and Glycoproteins Research (17 papers), RNA and protein synthesis mechanisms (17 papers), Genomics and Chromatin Dynamics (14 papers), Biopolymer Synthesis and Applications (6 papers), Biotin and Related Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Oncology (517 citations), Microbiology (96 citations), Spectroscopy (268 citations) and Genetics (427 citations). E.W. Johns has collaborated with scholars based in United Kingdom, Bulgaria and United States. Frequent co-authors include J. A. V. Butler, D. M. P. Phillips, Graham H. Goodwin, Bryan John Smith, John M. Walker, P Simson, D. J. R. Laurence, C Turberville, D. A. DARCY and L.S. Hnilica. Their work appears in journals such as Journal of Chromatography A, FEBS Letters, Biochemical Journal, Nature and Experimental Cell 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.