Janet C. Saunders
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 1
- Protein purification and stability 1
- Viral Infectious Diseases and Gene Expression in Insects 1
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Alison E. Ashcroft (5 shared papers)Sheena E. Radford (6 shared papers)Rachel Mahood (4 shared papers)Lydia Young (4 shared papers)Richard Foster (3 shared papers)Charlotte Revill (3 shared papers)Ling‐Hsien Tu (2 shared papers)Daniel P. Raleigh (2 shared papers)
- Journals
- Methods (1 paper)Nature Chemistry (1 paper)Nature Chemical Biology (1 paper)Chemical Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Janet C. Saunders
6 papers receiving 437 citations
Peers
Comparison fields: 5 of 66
- Physiology 239
- Spectroscopy 87
- Biomaterials 67
- Molecular Biology 280
- Computational Theory and Mathematics 44
Countries citing papers authored by Janet C. Saunders
This map shows the geographic impact of Janet C. Saunders'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 Janet C. Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet C. Saunders more than expected).
Fields of papers citing papers by Janet C. Saunders
This network shows the impact of papers produced by Janet C. Saunders. 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 Janet C. Saunders. The network helps show where Janet C. Saunders may publish in the future.
Co-authors
The 24 scholars most cited alongside Janet C. Saunders, 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 | 2014 | 238 | |
| 2 | 2015 | 71 | |
| 3 | 2015 | 51 | |
| 4 | 2015 | 51 | |
| 5 | 2020 | 27 | |
| 6 | 2023 | 3 | |
| 7 | 2025 | 0 |
About Janet C. Saunders
Janet C. Saunders is a scholar working on Molecular Biology, Physiology, Spectroscopy, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 441 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Protein Structure and Dynamics (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (1 paper), Ion-surface interactions and analysis (1 paper), Protein purification and stability (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Physiology (239 citations), Spectroscopy (87 citations), Biomaterials (67 citations), Molecular Biology (280 citations) and Computational Theory and Mathematics (44 citations). Janet C. Saunders has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Alison E. Ashcroft, Sheena E. Radford, Rachel Mahood, Lydia Young, Richard Foster, Charlotte Revill, Ling‐Hsien Tu, Daniel P. Raleigh, David J. Brockwell and Matthew P. Jackson. Their work appears in journals such as Methods, Nature Chemistry, Nature Chemical Biology, Chemical 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.