Brian D. Sykes
- Molecular Biology top 0.05%
- Spectroscopy top 0.05%
- Materials Chemistry top 1%
- Cardiology and Cardiovascular Medicine top 0.5%
- Ecology top 0.5%
- Co-authors
- David S. WishartF.M. RichardsRobert S. HodgesMonica X. LiPeter L. DaviesFrank D. SönnichsenJohn L. MarkleyWilliam E. Hull
- Topics
- Protein Structure and Dynamics (110 papers)Cardiomyopathy and Myosin Studies (91 papers)RNA and protein synthesis mechanisms (76 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Brian D. Sykes
465 papers receiving 27.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 19.2k
- Spectroscopy 4.6k
- Materials Chemistry 4.2k
- Cardiology and Cardiovascular Medicine 3.1k
- Ecology 2.4k
Countries citing papers authored by Brian D. Sykes
This map shows the geographic impact of Brian D. Sykes'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 Brian D. Sykes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Sykes more than expected).
Fields of papers citing papers by Brian D. Sykes
This network shows the impact of papers produced by Brian D. Sykes. 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 Brian D. Sykes. The network helps show where Brian D. Sykes may publish in the future.
Co-authorship network of co-authors of Brian D. Sykes
This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Sykes. A scholar is included among the top collaborators of Brian D. Sykes 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 Brian D. Sykes. Brian D. Sykes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 52 | |
| 9 | 54 | |
| 10 | 90 | |
| 11 | 49 | |
| 12 | Site I binds Ca2+ in trout cardiac troponin C | 1 |
| 13 | The Human inheritance : genes, language, and evolution | 10 |
| 14 | 66 | |
| 15 | 137 | |
| 16 | 24 | |
| 17 | 165 | |
| 18 | 8 | |
| 19 | 1H, 13C and 15N random coil NMR chemical shifts of the common amino acids. I. Investigations of nearest-neighbor effectsbreakdown → | 946 |
| 20 | 4 |
About Brian D. Sykes
Brian D. Sykes is a scholar working on Spectroscopy, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 468 papers that have together received 28.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (110 papers), Cardiomyopathy and Myosin Studies (91 papers) and RNA and protein synthesis mechanisms (76 papers). The work is most often cited by research in Molecular Biology (19.2k citations), Spectroscopy (4.6k citations) and Microbiology (1.3k citations). Brian D. Sykes has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David S. Wishart, F.M. Richards, Robert S. Hodges, Monica X. Li, Peter L. Davies, Frank D. Sönnichsen, John L. Markley, William E. Hull, Arne Holm and Stéphane M. Gagné. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.