Eva Ellinghaus

9.7k total citations
17 papers, 711 citations indexed

About

Eva Ellinghaus is a scholar working on Immunology, Epidemiology and Genetics. According to data from OpenAlex, Eva Ellinghaus has authored 17 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Eva Ellinghaus's work include T-cell and B-cell Immunology (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (3 papers). Eva Ellinghaus is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (3 papers). Eva Ellinghaus collaborates with scholars based in Germany, United Kingdom and Norway. Eva Ellinghaus's co-authors include André Franke, Tom H. Karlsen, Wolfgang Lieb, William Cookson, Stephan Weidinger, Philip E. Stuart, Jóhann E. Guðjónsson, Elke Rodríguez, Malte Rühlemann and Dora Stölzl and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.

In The Last Decade

Eva Ellinghaus

17 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Ellinghaus Germany 13 205 176 162 148 128 17 711
Yvonne Linde Germany 9 493 2.4× 150 0.9× 30 0.2× 58 0.4× 100 0.8× 10 910
Wahiba Chaara France 13 630 3.1× 158 0.9× 123 0.8× 19 0.1× 88 0.7× 15 1.0k
Alex So United Kingdom 11 389 1.9× 110 0.6× 167 1.0× 58 0.4× 127 1.0× 14 846
José A. Campillo Spain 18 651 3.2× 130 0.7× 94 0.6× 16 0.1× 164 1.3× 80 1.0k
Milan Buc Slovakia 15 287 1.4× 114 0.6× 62 0.4× 32 0.2× 52 0.4× 44 671
Niloufar Safinia United Kingdom 14 695 3.4× 154 0.9× 71 0.4× 11 0.1× 162 1.3× 29 1.0k
Claudia Wegscheid Germany 14 641 3.1× 91 0.5× 54 0.3× 21 0.1× 68 0.5× 20 869
Natasa Isailovic Italy 14 255 1.2× 158 0.9× 45 0.3× 81 0.5× 49 0.4× 35 703
Gianpaolo Tessari Italy 17 120 0.6× 81 0.5× 72 0.4× 443 3.0× 139 1.1× 42 976
Brian Duffy United States 18 356 1.7× 154 0.9× 97 0.6× 11 0.1× 235 1.8× 41 825

Countries citing papers authored by Eva Ellinghaus

Since Specialization
Citations

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

Fields of papers citing papers by Eva Ellinghaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Ellinghaus

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

All Works

17 of 17 papers shown
1.
Ahn, Richard, Damjan Vukcevic, Allan Motyer, et al.. (2021). Large-Scale Imputation of KIR Copy Number and HLA Alleles in North American and European Psoriasis Case-Control Cohorts Reveals Association of Inhibitory KIR2DL2 With Psoriasis. Frontiers in Immunology. 12. 684326–684326. 9 indexed citations
2.
Bartram, Thies, Anja Möricke, Richard S. Houlston, et al.. (2021). Genetic Variation in ABCC4 and CFTR and Acute Pancreatitis during Treatment of Pediatric Acute Lymphoblastic Leukemia. Journal of Clinical Medicine. 10(21). 4815–4815. 2 indexed citations
3.
Bejaoui, Yosra, Mareike Witte, Mohammad Ali El-Darouti, et al.. (2019). Genome‐wide association study of psoriasis in an Egyptian population. Experimental Dermatology. 28(5). 623–627. 12 indexed citations
4.
Mallon, Dermot, Matthew Robb, Eva Ellinghaus, et al.. (2018). Predicting Humoral Alloimmunity from Differences in Donor and Recipient HLA Surface Electrostatic Potential. The Journal of Immunology. 201(12). 3780–3792. 43 indexed citations
5.
Baurecht, Hansjörg, Malte Rühlemann, Elke Rodríguez, et al.. (2018). Epidermal lipid composition, barrier integrity, and eczematous inflammation are associated with skin microbiome configuration. Journal of Allergy and Clinical Immunology. 141(5). 1668–1676.e16. 142 indexed citations
6.
Tronstad, Rune Rose, Hans-Richard Brattbakk, C. T. Stansberg, et al.. (2018). Genetic and transcriptional analysis of inflammatory bowel disease-associated pathways in patients with GUCY2C-linked familial diarrhea. Scandinavian Journal of Gastroenterology. 53(10-11). 1264–1273. 8 indexed citations
7.
Ellinghaus, Eva, David Ellinghaus, Susanna Nikolaus, et al.. (2017). Genome-wide association analysis for chronic venous disease identifies EFEMP1 and KCNH8 as susceptibility loci. Scientific Reports. 7(1). 45652–45652. 45 indexed citations
8.
Schoknecht, Tanja, Dorothee Schwinge, Stephanie Stein, et al.. (2016). CD4+ T cells from patients with primary sclerosing cholangitis exhibit reduced apoptosis and down-regulation of proapoptotic Bim in peripheral blood. Journal of Leukocyte Biology. 101(2). 589–597. 15 indexed citations
9.
Ludwig, Kerstin U., Michael Knapp, Christine F. Skibola, et al.. (2016). Nonsyndromic cleft lip with or without cleft palate and cancer: Evaluation of a possible common genetic background through the analysis of GWAS data. Genomics Data. 10. 22–29. 18 indexed citations
10.
Vukcevic, Damjan, James A. Traherne, Sigrid Næss, et al.. (2015). Imputation of KIR Types from SNP Variation Data. The American Journal of Human Genetics. 97(4). 593–607. 46 indexed citations
11.
Andreassen, Ole A., Yunpeng Wang, Wesley K. Thompson, et al.. (2015). Abundant Genetic Overlap between Blood Lipids and Immune-Mediated Diseases Indicates Shared Molecular Genetic Mechanisms. PLoS ONE. 10(4). e0123057–e0123057. 33 indexed citations
12.
Anmarkrud, Jarl Andreas, Jan Christian Kässens, Sebastian Koch, et al.. (2015). Development of a high-resolution NGS-based HLA-typing and analysis pipeline. Nucleic Acids Research. 43(11). e70–e70. 62 indexed citations
13.
Sebode, Marcial, Moritz Peiseler, Dorothee Schwinge, et al.. (2014). Reduced FOXP3+ regulatory T cells in patients with primary sclerosing cholangitis are associated with IL2RA gene polymorphisms. Journal of Hepatology. 60(5). 1010–1016. 84 indexed citations
14.
Skiecevičienė, Jurgita, Gediminas Kiudelis, Eva Ellinghaus, et al.. (2013). Replication Study of Ulcerative Colitis Risk Loci in a Lithuanian–Latvian Case–Control Sample. Inflammatory Bowel Diseases. 19(11). 2349–2355. 11 indexed citations
15.
Srivastava, Brijesh, George Mells, Heather J. Cordell, et al.. (2012). Fine mapping and replication of genetic risk loci in primary sclerosing cholangitis. Scandinavian Journal of Gastroenterology. 47(7). 820–826. 35 indexed citations
16.
Ding, Jun, Jóhann E. Guðjónsson, Liming Liang, et al.. (2010). Gene Expression in Skin and Lymphoblastoid Cells: Refined Statistical Method Reveals Extensive Overlap in cis-eQTL Signals. The American Journal of Human Genetics. 87(6). 779–789. 127 indexed citations
17.
Lorentzen, Åslaug Rudjord, Espen Melum, Eva Ellinghaus, et al.. (2010). Association to the Glypican-5 gene in multiple sclerosis. Journal of Neuroimmunology. 226(1-2). 194–197. 19 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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