Lauric Ferrat
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Diabetes Management and Research 10
- Genetics 10
- Diabetes and associated disorders 10
- Genetic Associations and Epidemiology 1
- Co-authors
- Richard A. Oram (11 shared papers)Beverley M. Shields (2 shared papers)Angus G. Jones (2 shared papers)Anita L. Lynam (2 shared papers)Katharine R. Owen (1 shared paper)John Dennis (1 shared paper)Marc Goodfellow (1 shared paper)John R. Terry (1 shared paper)
- Journals
- Diabetologia (3 papers)Diabetes Care (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)PLoS Computational Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Lauric Ferrat
11 papers receiving 157 citations
Peers
Comparison fields: 5 of 74
- Health Information Management 20
- Endocrinology, Diabetes and Metabolism 63
- Health Informatics 5
- Genetics 60
- Surgery 51
Countries citing papers authored by Lauric Ferrat
This map shows the geographic impact of Lauric Ferrat'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 Lauric Ferrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauric Ferrat more than expected).
Fields of papers citing papers by Lauric Ferrat
This network shows the impact of papers produced by Lauric Ferrat. 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 Lauric Ferrat. The network helps show where Lauric Ferrat may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauric Ferrat, 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 | 2020 | 78 | |
| 2 | 2022 | 35 | |
| 3 | 2018 | 16 | |
| 4 | 2020 | 14 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 |
About Lauric Ferrat
Lauric Ferrat is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Pathology and Forensic Medicine and General Health Professions, having authored 14 papers that have together received 162 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (9 papers), Healthcare Systems and Practices (1 paper), Systemic Lupus Erythematosus Research (1 paper), Patient Satisfaction in Healthcare (1 paper), Genetic Associations and Epidemiology (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Health Information Management (20 citations), Endocrinology, Diabetes and Metabolism (63 citations), Health Informatics (5 citations), Genetics (60 citations) and Surgery (51 citations). Lauric Ferrat has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Richard A. Oram, Beverley M. Shields, Angus G. Jones, Anita L. Lynam, Katharine R. Owen, John Dennis, Marc Goodfellow, John R. Terry, María J. Redondo and Seth A. Sharp. Their work appears in journals such as Diabetologia, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, PLoS Computational Biology and Nature Communications.
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.