Fiona Grimm
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Amino Acid Enzymes and Metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 5
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- Metabolism, Diabetes, and Cancer 1
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Dimitrios Anastasiou (4 shared papers)Thierry Pedrazzini (1 shared paper)Melis Kayikci (1 shared paper)Ana Vukolic (1 shared paper)Jaya Krishnan (1 shared paper)Samuel Sossalla (1 shared paper)Cédric Cortijo (1 shared paper)Alexandre Sarre (1 shared paper)
- Journals
- International Journal for Population Data Science (2 papers)Nature Computational Science (1 paper)Nature Chemical Biology (1 paper)Nature (1 paper)BMJ Open (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Fiona Grimm
15 papers receiving 328 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 106
- Biochemistry 32
- Endocrinology, Diabetes and Metabolism 56
- Molecular Biology 165
- Modeling and Simulation 8
Countries citing papers authored by Fiona Grimm
This map shows the geographic impact of Fiona Grimm'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 Fiona Grimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Grimm more than expected).
Fields of papers citing papers by Fiona Grimm
This network shows the impact of papers produced by Fiona Grimm. 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 Fiona Grimm. The network helps show where Fiona Grimm may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona Grimm, 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 | 2015 | 133 | |
| 2 | 2019 | 104 | |
| 3 | 2018 | 21 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 6 | |
| 9 | Adult social care and COVID-19 after the first wave: assessing the policy response in England | 2021 | 5 |
| 10 | 2016 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2022 | 1 | |
| 15 | [Dexamethasone and prednisolone use in pigeons]. | 1989 | 1 |
About Fiona Grimm
Fiona Grimm is a scholar working on Cancer Research, Molecular Biology, General Health Professions, Economics and Econometrics and Biochemistry, having authored 15 papers that have together received 332 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Social Policy and Reform Studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Cancer Research (106 citations), Biochemistry (32 citations), Endocrinology, Diabetes and Metabolism (56 citations), Molecular Biology (165 citations) and Modeling and Simulation (8 citations). Fiona Grimm has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Dimitrios Anastasiou, Thierry Pedrazzini, Melis Kayikci, Ana Vukolic, Jaya Krishnan, Samuel Sossalla, Cédric Cortijo, Alexandre Sarre, Wilhelm Krek and Manuel Hörl. Their work appears in journals such as International Journal for Population Data Science, Nature Computational Science, Nature Chemical Biology, Nature and BMJ Open.
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.