D.K. Stammers
Impact in
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
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- Biochemical and Molecular Research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 2
- Biochemical and Molecular Research 2
-
- HIV/AIDS drug development and treatment 4
- Co-authors
- C.R. Beddell (4 shared papers)J.N. Champness (4 shared papers)David A. Matthews (1 shared paper)Bernard T. Kaufman (1 shared paper)David J. Filman (1 shared paper)Karl Volz (1 shared paper)J. Kraut (1 shared paper)J.T. Bolin (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Archives of Biochemistry and Biophysics (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
D.K. Stammers
14 papers receiving 624 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 136
- Molecular Biology 431
- Molecular Medicine 28
- Rheumatology 51
- Computational Theory and Mathematics 58
Countries citing papers authored by D.K. Stammers
This map shows the geographic impact of D.K. Stammers'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 D.K. Stammers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.K. Stammers more than expected).
Fields of papers citing papers by D.K. Stammers
This network shows the impact of papers produced by D.K. Stammers. 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 D.K. Stammers. The network helps show where D.K. Stammers may publish in the future.
Co-authors
The 25 scholars most cited alongside D.K. Stammers, 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 | 1985 | 240 | |
| 2 | 1994 | 81 | |
| 3 | 1987 | 78 | |
| 4 | 1972 | 55 | |
| 5 | 2006 | 36 | |
| 6 | 2013 | 30 | |
| 7 | 1986 | 27 | |
| 8 | 2004 | 18 | |
| 9 | 1986 | 17 | |
| 10 | 1993 | 17 | |
| 11 | 1987 | 17 | |
| 12 | 1983 | 16 | |
| 13 | 1979 | 15 | |
| 14 | 1993 | 4 |
About D.K. Stammers
D.K. Stammers is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Materials Chemistry and Organic Chemistry, having authored 14 papers that have together received 651 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Enzyme Structure and Function (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Protein Structure and Dynamics (2 papers), Hemoglobin structure and function (2 papers), Biochemical and Molecular Research (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Infectious Diseases (136 citations), Molecular Biology (431 citations), Molecular Medicine (28 citations), Rheumatology (51 citations) and Computational Theory and Mathematics (58 citations). D.K. Stammers has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include C.R. Beddell, J.N. Champness, David A. Matthews, Bernard T. Kaufman, David J. Filman, Karl Volz, J. Kraut, J.T. Bolin, Jane M. Burridge and John G. Dann. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications, Cold Spring Harbor Symposia on Quantitative Biology, Archives of Biochemistry and Biophysics and FEBS Letters.
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.