Peter K. Gregersen

1.5k total citations
8 papers, 442 citations indexed

About

Peter K. Gregersen is a scholar working on Rheumatology, Genetics and Immunology. According to data from OpenAlex, Peter K. Gregersen has authored 8 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Rheumatology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Peter K. Gregersen's work include Immunodeficiency and Autoimmune Disorders (2 papers), Genomics and Rare Diseases (1 paper) and Genetic Associations and Epidemiology (1 paper). Peter K. Gregersen is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (2 papers), Genomics and Rare Diseases (1 paper) and Genetic Associations and Epidemiology (1 paper). Peter K. Gregersen collaborates with scholars based in United States, Sweden and United Kingdom. Peter K. Gregersen's co-authors include Ward Ortmann, Timothy W. Behrens, Jill Novitzke, Steven R. Ytterberg, Ann M. Reed, Jason W. Bauer, Karl J. Espe, Emily C. Baechler, Leonid Padyukov and Marialbert Acosta‐Herrera and has published in prestigious journals such as The American Journal of Human Genetics, Annals of the Rheumatic Diseases and PLoS Genetics.

In The Last Decade

Peter K. Gregersen

8 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter K. Gregersen United States	7	189	176	162	87	83	8	442
H. Ehrfeld Germany	7	163 0.9×	309 1.8×	215 1.3×	162 1.9×	34 0.4×	14	517
Elizabeth M. Dugan United States	12	90 0.5×	310 1.8×	218 1.3×	47 0.5×	50 0.6×	21	467
Eva Lindroos Sweden	9	170 0.9×	382 2.2×	123 0.8×	180 2.1×	25 0.3×	12	525
Katy Newton United Kingdom	7	224 1.2×	147 0.8×	129 0.8×	93 1.1×	31 0.4×	10	418
Tamara O. Fedczyna United States	6	99 0.5×	245 1.4×	172 1.1×	75 0.9×	29 0.3×	7	323
Jean‐Baptiste Vulsteke Belgium	10	81 0.4×	229 1.3×	112 0.7×	57 0.7×	16 0.2×	20	319
Cassie Parks United States	5	96 0.5×	372 2.1×	168 1.0×	91 1.0×	32 0.4×	6	406
Damien Amelin France	5	84 0.4×	372 2.1×	149 0.9×	134 1.5×	19 0.2×	9	433
John M. Barnard Canada	17	293 1.6×	69 0.4×	88 0.5×	106 1.2×	347 4.2×	24	729
Yeon Su Lee South Korea	5	470 2.5×	48 0.3×	65 0.4×	127 1.5×	403 4.9×	10	946

Countries citing papers authored by Peter K. Gregersen

Since Specialization

Citations

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

Fields of papers citing papers by Peter K. Gregersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter K. Gregersen

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

All Works

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8 of 8 papers shown

Acosta‐Herrera, Marialbert, Martin Kerick, Cisca Wijmenga, et al.. (2018). Genome-wide meta-analysis reveals shared new loci in systemic seropositive rheumatic diseases. Annals of the Rheumatic Diseases. 78(3). 311–319. 71 indexed citations

Seldin, Michael F., Omar K. Alkhairy, Annette T. Lee, et al.. (2015). Genome-Wide Association Study of Late-Onset Myasthenia Gravis: Confirmation of TNFRSF11A and Identification of ZBTB10 and Three Distinct HLA Associations. Molecular Medicine. 21(1). 769–781. 48 indexed citations

Veal, Colin, et al.. (2013). A 129-kb Deletion on Chromosome 12 Confers Substantial Protection Against Rheumatoid Arthritis, Implicating the GeneSLC2A3. Human Mutation. 35(2). 248–256. 18 indexed citations

Ferreira, Ricardo C., Qiang Pan‐Hammarström, Robert Graham, et al.. (2012). High-Density SNP Mapping of the HLA Region Identifies Multiple Independent Susceptibility Loci Associated with Selective IgA Deficiency. PLoS Genetics. 8(1). e1002476–e1002476. 43 indexed citations

Wu, Chih‐Chieh, Sanjay Shete, Wei V. Chen, et al.. (2009). Detection of disease-associated deletions in case–control studies using SNP genotypes with application to rheumatoid arthritis. Human Genetics. 126(2). 303–315. 8 indexed citations

Seielstad, Mark, Leonid Padyukov, Xiayi Ke, et al.. (2008). OR.103. Combined Analysis of Three Genome-wide Scans Reveals Additional Loci Associated with Rheumatoid Arthritis. Clinical Immunology. 127. S41–S41. 1 indexed citations

Baechler, Emily C., Jason W. Bauer, Ward Ortmann, et al.. (2007). An Interferon Signature in the Peripheral Blood of Dermatomyositis Patients is Associated with Disease Activity. Molecular Medicine. 13(1-2). 59–68. 232 indexed citations

Gregersen, Peter K.. (1998). Instant Recognition: The Genetics of Pitch Perception. The American Journal of Human Genetics. 62(2). 221–223. 21 indexed citations

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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