S.J. Gamblin
Impact in
- Molecular Biology top 0.2%
- Epigenetics and DNA Methylation
- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- Metabolism, Diabetes, and Cancer
- Cancer-related gene regulation
- Protein Structure and Dynamics
- Infectious Diseases top 0.5%
Papers in
-
- Protein Structure and Dynamics 16
- RNA and protein synthesis mechanisms 15
- Epigenetics and DNA Methylation 13
- Metabolism, Diabetes, and Cancer 9
-
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- J.J. SkehelStephen R. MartinP.A. WalkerStephen J. SmerdonBing XiaoL.F. HaireKatrin RittingerStephen C. Harrison
- Journals
- Nature (18 papers)Proceedings of the National Academy of Sciences (10 papers)Journal of Molecular Biology (7 papers)Nature Communications (6 papers)Nature Structural & Molecular Biology (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
S.J. Gamblin
95 papers receiving 16.6k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 11.8k
- Infectious Diseases 2.3k
- Epidemiology 4.1k
- Molecular Medicine 470
- Cell Biology 1.2k
Countries citing papers authored by S.J. Gamblin
This map shows the geographic impact of S.J. Gamblin'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 S.J. Gamblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. Gamblin more than expected).
Fields of papers citing papers by S.J. Gamblin
This network shows the impact of papers produced by S.J. Gamblin. 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 S.J. Gamblin. The network helps show where S.J. Gamblin may publish in the future.
Co-authors
The 25 scholars most cited alongside S.J. Gamblin, 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 | 2024 | 13 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 32 | |
| 4 | 2022 | 50 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 43 | |
| 7 | 2021 | 102 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 65 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 325 | |
| 12 | Receptor binding and priming of the spike protein of SARS-CoV-2 for membrane fusion Hit paper breakdown → | 2020 | 514 |
| 13 | 2019 | 81 | |
| 14 | 2015 | 204 | |
| 15 | 2013 | 253 | |
| 16 | Structural basis of AMPK regulation by small molecule activators Hit paper breakdown → | 2013 | 428 |
| 17 | 2012 | 224 | |
| 18 | 2010 | 449 | |
| 19 | 2003 | 129 | |
| 20 | 1997 | 96 |
About S.J. Gamblin
S.J. Gamblin is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Molecular Medicine, having authored 97 papers that have together received 16.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (16 papers), RNA and protein synthesis mechanisms (15 papers), Epigenetics and DNA Methylation (13 papers), Metabolism, Diabetes, and Cancer (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Molecular Biology (11.8k citations), Infectious Diseases (2.3k citations), Epidemiology (4.1k citations), Molecular Medicine (470 citations) and Cell Biology (1.2k citations). S.J. Gamblin has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include J.J. Skehel, Stephen R. Martin, P.A. Walker, Stephen J. Smerdon, Bing Xiao, L.F. Haire, Katrin Rittinger, Stephen C. Harrison, David Carling and J. Wilson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Nature Communications and Nature Structural & Molecular Biology.
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.