Peter Eerligh

720 total citations
19 papers, 576 citations indexed

About

Peter Eerligh is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peter Eerligh has authored 19 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Immunology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peter Eerligh's work include Diabetes and associated disorders (14 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (7 papers). Peter Eerligh is often cited by papers focused on Diabetes and associated disorders (14 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (7 papers). Peter Eerligh collaborates with scholars based in Netherlands, United Kingdom and Germany. Peter Eerligh's co-authors include Bart O. Roep, Bobby P. C. Koeleman, Alexandra Zhernakova, Cisca Wijmenga, Pilar Barrera, Arno R. van der Slik, G.J. Bruining, M. J. Giphart, T. Huizinga and Javier Martı́n and has published in prestigious journals such as Diabetes, Journal of General Virology and Human Genetics.

In The Last Decade

Peter Eerligh

19 papers receiving 565 citations

Peers

Countries citing papers authored by Peter Eerligh

Since Specialization

Citations

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

Fields of papers citing papers by Peter Eerligh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Eerligh

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

All Works

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19 of 19 papers shown

#	Title	Journal	Authors	Indexed citations
1	Functional consequences of HLA-DQ8 homozygosity versus heterozygosity for islet autoimmunity in type 1 diabetes	Genes and Immunity	Peter Eerligh, Menno van Lummel et al.	39
2	No extreme genetic risk for type 1 diabetes among DR3/4‐DQ8 siblings sharing both extended HLA haplotypes with their diabetic proband	Tissue Antigens	Peter Eerligh, Bobby P. C. Koeleman et al.	1
3	Association analysis of myosin IXB and type 1 diabetes	Human Immunology	Stephan P. Persengiev, Bobby P. C. Koeleman et al.	10
4	Sequence variation within the major histocompatibility complex subregion centromeric of HLA class II in type 1 diabetes	Tissue Antigens	Arno R. van der Slik, Peter Eerligh et al.	3
5	MICA marks additional risk factors for Type 1 diabetes on extended HLA haplotypes: An association and meta-analysis	Molecular Immunology	Behrooz Z. Alizadeh, Peter Eerligh et al.	20
6	Genetic variants of RANTES are associated with serum RANTES level and protection for type 1 diabetes	Genes and Immunity	Alexandra Zhernakova, B. Z. Alizadeh et al.	49
7	Su.38. Association of Interferon-γ and Interleukin 10 Genotypes and Serum Levels with Clinical Remission in Type 1 Diabetes	Clinical Immunology	Behrooz Z. Alizadeh, Peter Eerligh et al.	3
8	Association of interferon-γ and interleukin 10 genotypes and serum levels with partial clinical remission in type 1 diabetes	Clinical & Experimental Immunology	B. Z. Alizadeh, Pejman Hanifi-Moghaddam et al.	31
9	Analysis of a Functional BTNL2 Polymorphism in Type 1 Diabetes, Rheumatoid Arthritis, and Systemic Lupus Erythematosus	Human Immunology	Gisela Orozco, Peter Eerligh et al.	58
10	Differential association of the PTPN22 coding variant with autoimmune diseases in a Dutch population	Genes and Immunity	Alexandra Zhernakova, Peter Eerligh et al.	90
11	CTLA4 is differentially associated with autoimmune diseases in the Dutch population	Human Genetics	Alexandra Zhernakova, Peter Eerligh et al.	58
12	Elevated Levels of Mannose-Binding Lectin at Clinical Manifestation of Type 1 Diabetes in Juveniles	Diabetes	Lee H. Bouwman, Peter Eerligh et al.	48
13	CTLA4 is differently associated with autoimmune diseases in the Dutch population	Human Genetics	Alexandra Zhernakova, Peter Eerligh et al.	2
14	Functional genetic polymorphisms in cytokines and metabolic genes as additional genetic markers for susceptibility to develop type 1 diabetes	Genes and Immunity	Peter Eerligh, Bobby P. C. Koeleman et al.	35
15	Insulin‐like growth factor 1 promoter polymorphism influences insulin gene variable number of tandem repeat‐associated risk for juvenile onset type 1 diabetes	Tissue Antigens	Peter Eerligh, Bart O. Roep et al.	5
16	Analysis of hepatitis C virus/classical swine fever virus chimeric 5′NTRs: sequences within the hepatitis C virus IRES are required for viral RNA replication	Journal of General Virology	Chantal Reusken, Tim J. Dalebout et al.	30
17	The telomeric part of the HLA region predisposes to rheumatoid arthritis independently of the class II loci	Human Immunology	Eric Zanelli, Gavin C. Jones et al.	55
18	Localization of central MHC genes influencing type I diabetes	Human Immunology	Karey Cheong, Richard J. N. Allcock et al.	34
19	Subtyping for TNFa microsatellite sequence variation	Immunogenetics	Arno R. van der Slik, Danielle C. Shing et al.	5

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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