Mikael Chéramy

809 total citations
11 papers, 608 citations indexed

About

Mikael Chéramy is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mikael Chéramy has authored 11 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mikael Chéramy's work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (10 papers) and Diabetes Management and Research (6 papers). Mikael Chéramy is often cited by papers focused on Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (10 papers) and Diabetes Management and Research (6 papers). Mikael Chéramy collaborates with scholars based in Sweden, United States and France. Mikael Chéramy's co-authors include Johnny Ludvigsson, Rosaura Casas, Stina Axelsson, Mikael Pihl, Jan Åman, Eva Örtqvist, Gun Forsander, Maria Hjorth, Sten A. Ivarsson and Calle Johansson and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Diabetes Care.

In The Last Decade

Mikael Chéramy

11 papers receiving 587 citations

Peers

Countries citing papers authored by Mikael Chéramy

Since Specialization

Citations

This map shows the geographic impact of Mikael Chéramy'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 Mikael Chéramy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikael Chéramy more than expected).

Fields of papers citing papers by Mikael Chéramy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikael Chéramy. 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 Mikael Chéramy. The network helps show where Mikael Chéramy may publish in the future.

Co-authorship network of co-authors of Mikael Chéramy

This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Chéramy. A scholar is included among the top collaborators of Mikael Chéramy 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 Mikael Chéramy. Mikael Chéramy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	GAD-specific T cells are induced by GAD-alum treatment in Type-1 diabetes patients 2017 ·Clinical Immunology ·Mikael Pihl, Hugo Barcenilla, Stina Axelsson, Mikael Chéramy, (unknown), I. Johansson, Johnny Ludvigsson, Rosaura Casas	14
2	Effect of simultaneous vaccination with H1N1 and GAD-alum on GAD65-induced immune response 2017 ·Diabetologia ·(unknown), Mikael Chéramy, Stina Axelsson, (unknown), Johnny Ludvigsson, Rosaura Casas	9
3	GAD‐treatment of children and adolescents with recent‐onset type 1 diabetes preserves residual insulin secretion after 30 months 2013 ·Diabetes/Metabolism Research and Reviews ·Johnny Ludvigsson, Mikael Chéramy, Stina Axelsson, Mikael Pihl, (unknown), Rosaura Casas	34
4	Cellular and Humoral Immune Responses in Type 1 Diabetic Patients Participating in a Phase III GAD-alum Intervention Trial 2013 ·Diabetes Care ·Stina Axelsson, Mikael Chéramy, (unknown), Mikael Pihl, Johnny Ludvigsson, Rosaura Casas	28
5	Regulatory T cell phenotype and function 4 years after GAD–alum treatment in children with type 1 diabetes 2013 ·Clinical & Experimental Immunology ·(unknown), (unknown), Stina Axelsson, Mikael Chéramy, Martin Hjorth, Roberto Mallone, Johnny Ludvigsson, Rosaura Casas	12
6	Characteristics ofin-vitrophenotypes of glutamic acid decarboxylase 65 autoantibodies in high-titre individuals 2012 ·Clinical & Experimental Immunology ·Mikael Chéramy, Christiane S. Hampe, Johnny Ludvigsson, Rosaura Casas	14
7	Long-Lasting Immune Responses 4 Years after GAD-Alum Treatment in Children with Type 1 Diabetes 2011 ·PLoS ONE ·Stina Axelsson, Mikael Chéramy, Maria Hjorth, Mikael Pihl, (unknown), Emanuela Martinuzzi, Roberto Mallone, Johnny Ludvigsson, Rosaura Casas	34
8	GAD autoantibody epitope pattern after GAD-alum treatment in children and adolescents with type 1 diabetes 2011 ·Pediatric Diabetes ·(unknown), Mikael Chéramy, Rosaura Casas, Johnny Ludvigsson, Christiane S. Hampe	4
9	Extended evaluation of the safety and efficacy of GAD treatment of children and adolescents with recent-onset type 1 diabetes: a randomised controlled trial 2010 ·Diabetologia ·Johnny Ludvigsson, Martin Hjorth, Mikael Chéramy, Stina Axelsson, (unknown), Gun Forsander, (unknown), Bo E. Samuelsson, Tammara Wood, Jan Åman, Eva Örtqvist, Rosaura Casas	53
10	GAD-alum treatment in patients with type 1 diabetes and the subsequent effect on GADA IgG subclass distribution, GAD65 enzyme activity and humoral response 2010 ·Clinical Immunology ·Mikael Chéramy, (unknown), I. Johansson, Johnny Ludvigsson, Christiane S. Hampe, Rosaura Casas	33
11	GAD Treatment and Insulin Secretion in Recent-Onset Type 1 Diabetes 2008 ·New England Journal of Medicine ·Johnny Ludvigsson, Maria Faresjö, Maria Hjorth, Stina Axelsson, Mikael Chéramy, Mikael Pihl, Outi Vaarala, Gun Forsander, Sten A. Ivarsson, Calle Johansson, (unknown), (unknown), Jan Åman, Eva Örtqvist, (unknown), Rosaura Casas	373

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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