Lauric Ferrat

446 total citations
14 papers, 162 citations indexed

About

Lauric Ferrat is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Lauric Ferrat has authored 14 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Genetics and 9 papers in Surgery. Recurrent topics in Lauric Ferrat's work include Diabetes and associated disorders (10 papers), Diabetes Management and Research (10 papers) and Pancreatic function and diabetes (9 papers). Lauric Ferrat is often cited by papers focused on Diabetes and associated disorders (10 papers), Diabetes Management and Research (10 papers) and Pancreatic function and diabetes (9 papers). Lauric Ferrat collaborates with scholars based in United Kingdom, United States and Switzerland. Lauric Ferrat's co-authors include Richard A. Oram, Angus G. Jones, Anita L. Lynam, Beverley M. Shields, Katharine R. Owen, John Dennis, John R. Terry, Marc Goodfellow, María J. Redondo and Seth A. Sharp and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Lauric Ferrat

11 papers receiving 157 citations

Peers

Countries citing papers authored by Lauric Ferrat

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lauric Ferrat

This figure shows the co-authorship network connecting the top 25 collaborators of Lauric Ferrat. A scholar is included among the top collaborators of Lauric Ferrat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lauric Ferrat. Lauric Ferrat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Development of a Patient-Level Multi-objective Optimisation Model for Screening Strategies for Childhood Type 1 Diabetes 2026 ·PharmacoEconomics ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jonathan E. Fieldsend, Lauric Ferrat	0
2	Contrasting Adult and Pediatric Populations in a Cohort of At-Risk Relatives in The T1D TrialNet Pathway to Prevention Study 2025 ·Diabetes Care ·(unknown), Lauric Ferrat, Nicholas J. Thomas, (unknown), Diane K. Wherrett, Jennifer L. Sherr, John M. Wentworth, María J. Redondo, (unknown), Jamie L. Felton, (unknown), Jay M. Sosenko, (unknown), Richard A. Oram, Emily K. Sims	1
3	IA-2A positivity increases risk of progression within and across established stages of type 1 diabetes 2025 ·Diabetologia ·Emily K. Sims, David Cuthbertson, Lauric Ferrat, Emanuele Bosi, Carmella Evans‐Molina, Linda A. DiMeglio, Brandon M. Nathan, Heba M. Ismail, Laura M. Jacobsen, María J. Redondo, Richard A. Oram, Jay M. Sosenko	2
4	Type 1 diabetes prediction in autoantibody-positive individuals: performance, time and money matter 2025 ·Diabetologia ·Lauric Ferrat, (unknown), Andrea K. Steck, Hemang Parikh, (unknown), Suna Önengüt-Gümüşcü, Peter A. Gottlieb, Taylor M. Triolo, Stephen S. Rich, Jeffrey P. Krischer, R. Brett McQueen, Richard A. Oram, María J. Redondo, (unknown)	0
5	Genetic Risk and Transition Through Preclinical Stages of Type 1 Diabetes 2025 ·The Journal of Clinical Endocrinology & Metabolism ·Andrea K. Steck, Hemang Parikh, Taylor M. Triolo, Lauric Ferrat, (unknown), Peter A. Gottlieb, Richard A. Oram, Suna Önengüt-Gümüşcü, Jeffrey P. Krischer, Stephen S. Rich, María J. Redondo	0
6	Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis 2024 ·Nature Communications ·(unknown), (unknown), Jiang Li, Lauric Ferrat, Uyenlinh L. Mirshahi, H. Shanker Rao, Axel Petzold, Jessica Tyrrell, Harry Green, Michael N. Weedon, Andrea Ganna, (unknown), David J. Carey, (unknown), Richard A. Oram, Tasanee Braithwaite	5
7	Identification of type 1 diabetes risk phenotypes using an outcome-guided clustering analysis 2024 ·Diabetologia ·(unknown), Lauric Ferrat, Richard A. Oram, Hemang Parikh, Andrea K. Steck, Jeffrey P. Krischer, María J. Redondo, (unknown)	4
8	Genetic Associations With C-peptide Levels Before Type 1 Diabetes Diagnosis in At-risk Relatives 2024 ·The Journal of Clinical Endocrinology & Metabolism ·Taylor M. Triolo, Hemang Parikh, Mustafa Tosur, Lauric Ferrat, (unknown), Peter A. Gottlieb, Richard A. Oram, Suna Önengüt-Gümüşcü, Jeffrey P. Krischer, Stephen S. Rich, Andrea K. Steck, María J. Redondo	4
9	Utility of Diabetes Type–Specific Genetic Risk Scores for the Classification of Diabetes Type Among Multiethnic Youth 2022 ·Diabetes Care ·Richard A. Oram, Seth A. Sharp, Catherine Pihoker, Lauric Ferrat, Giuseppina Imperatore, Adrienne H. Williams, María J. Redondo, Lynne E. Wagenknecht, Lawrence M. Dolan, Jean M. Lawrence, Michael N. Weedon, Ralph B. D’Agostino, William Hagopian, Jasmin Divers, Dana Dabelea	35
10	Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults 2020 ·SHILAP Revista de lepidopterología ·Anita L. Lynam, John Dennis, Katharine R. Owen, Richard A. Oram, Angus G. Jones, Beverley M. Shields, Lauric Ferrat	78
11	Histological validation of a type 1 diabetes clinical diagnostic model for classification of diabetes 2020 ·Diabetic Medicine ·Alice L. J. Carr, Daniel J. Perry, Anita L. Lynam, Srikar Chamala, Christine S. Flaxman, Seth A. Sharp, Lauric Ferrat, Angus G. Jones, Maria Beery, Laura M. Jacobsen, Clive Wasserfall, Martha Campbell‐Thompson, Irina Kusmartseva, Amanda L. Posgai, Desmond Schatz, Mark A. Atkinson, Todd M. Brusko, Sarah J. Richardson, Beverley M. Shields, Richard A. Oram	14
12	82-OR: A T1D Genetic Risk Score Combined with Clinical Features and Autoantibodies Enables Accurate Diabetes Classification in a Racial/Ethnically Diverse Population: The Search for Diabetes in Youth Study 2019 ·Diabetes ·Richard A. Oram, Seth A. Sharp, Catherine Pihoker, Lauric Ferrat, Giuseppina Imperatore, Sharon Saydah, Adrienne H. Williams, Lynne E. Wagenknecht, Jean M. Lawrence, Michael N. Weedon, Ralph B. D’Agostino, William Hagopian, Jasmin Divers, Dana Dabelea	1
13	Maillage territorial des établissements de santé : apport des modèles issus de la théorie des graphes 2018 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Nolwenn Le Meur, Lauric Ferrat, Fei Gao, (unknown), (unknown)	2
14	Classifying dynamic transitions in high dimensional neural mass models: A random forest approach 2018 ·PLoS Computational Biology ·Lauric Ferrat, Marc Goodfellow, John R. Terry	16

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.

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