Suzanne Ford
Impact in
-
- Aging and Gerontology Research
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism and Genetic Disorders 12
-
- Diet and metabolism studies 7
- Co-authors
- Shelia R. Cotten (1 shared paper)Graeme Ford (1 shared paper)Taben M. Hale (1 shared paper)Anita MacDonald (14 shared papers)Mike O’Driscoll (7 shared papers)Lynn K. Barrett (1 shared paper)Peggy Ward‐Smith (1 shared paper)Emma Vardy (1 shared paper)
- Journals
- Nutrients (8 papers)Forensic Science International (1 paper)The Journals of Gerontology Series B (1 paper)Molecular Genetics and Metabolism (1 paper)Journal of Inherited Metabolic Disease (1 paper)
- Partner nations
- United KingdomTürkiyeUnited States
In The Last Decade
Suzanne Ford
18 papers receiving 571 citations
Suzanne Ford's Hit Papers
Peers
Comparison fields: 5 of 90
- Neuropsychology and Physiological Psychology 52
- Clinical Biochemistry 174
- Demography 241
- Health 98
- Physiology 87
Countries citing papers authored by Suzanne Ford
This map shows the geographic impact of Suzanne Ford'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 Suzanne Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Ford more than expected).
Fields of papers citing papers by Suzanne Ford
This network shows the impact of papers produced by Suzanne Ford. 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 Suzanne Ford. The network helps show where Suzanne Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Ford, 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 | Internet Use and Depression Among Retired Older Adults in the United States: A Longitudinal Analysis Hit paper breakdown → | 2014 | 335 |
| 2 | 2018 | 98 | |
| 3 | 2019 | 28 | |
| 4 | A bed management strategy for overcrowding in the emergency department. | 2012 | 23 |
| 5 | 2021 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2018 | 12 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2005 | 5 | |
| 15 | 2001 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 1 |
About Suzanne Ford
Suzanne Ford is a scholar working on Clinical Biochemistry, Physiology, Molecular Biology, Nutrition and Dietetics and Pharmacology, having authored 18 papers that have together received 585 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Diet and metabolism studies (7 papers), Mitochondrial Function and Pathology (4 papers), Folate and B Vitamins Research (1 paper), Genomics and Rare Diseases (1 paper), Patient Satisfaction in Healthcare (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (52 citations), Clinical Biochemistry (174 citations), Demography (241 citations), Health (98 citations) and Physiology (87 citations). Suzanne Ford has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Shelia R. Cotten, Graeme Ford, Taben M. Hale, Anita MacDonald, Mike O’Driscoll, Lynn K. Barrett, Peggy Ward‐Smith, Emma Vardy, Denise Hofman and Alex Pinto. Their work appears in journals such as Nutrients, Forensic Science International, The Journals of Gerontology Series B, Molecular Genetics and Metabolism and Journal of Inherited Metabolic Disease.
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.