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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- Geriatric Care and Nursing Homes 3
- Co-authors
- Nicola Zamboni (1 shared paper)Dimitrios Anastasiou (4 shared papers)Samuel Sossalla (1 shared paper)Thierry Pedrazzini (1 shared paper)Jaya Krishnan (1 shared paper)Wilhelm Krek (1 shared paper)Niklaus Fankhauser (1 shared paper)Ana Vukolic (1 shared paper)
- Journals
- International Journal for Population Data Science (2 papers)BMJ Quality & Safety (1 paper)The EMBO Journal (1 paper)BMJ Open (1 paper)Management Science (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Fiona Grimm
15 papers receiving 324 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 115
- Biochemistry 31
- Endocrinology, Diabetes and Metabolism 56
- Modeling and Simulation 12
- Geriatrics and Gerontology 10
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 | 131 | |
| 2 | 2019 | 105 | |
| 3 | 2018 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 7 | |
| 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 | [Dexamethasone and prednisolone use in pigeons]. | 1989 | 1 |
| 15 | 2022 | 1 |
About Fiona Grimm
Fiona Grimm is a scholar working on Cancer Research, General Health Professions, Molecular Biology, Economics and Econometrics and Biochemistry, having authored 15 papers that have together received 328 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Geriatric Care and Nursing Homes (3 papers), Healthcare Operations and Scheduling Optimization (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Diet, Metabolism, and Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Trauma and Emergency Care Studies (1 paper) and Healthcare innovation and challenges (1 paper). The work is most often cited by research in Cancer Research (115 citations), Biochemistry (31 citations), Endocrinology, Diabetes and Metabolism (56 citations), Modeling and Simulation (12 citations) and Geriatrics and Gerontology (10 citations). Fiona Grimm has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Nicola Zamboni, Dimitrios Anastasiou, Samuel Sossalla, Thierry Pedrazzini, Jaya Krishnan, Wilhelm Krek, Niklaus Fankhauser, Ana Vukolic, Manuel Hörl and Cédric Cortijo. Their work appears in journals such as International Journal for Population Data Science, BMJ Quality & Safety, The EMBO Journal, BMJ Open and Management Science.
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.