H. Donner

2.0k total citations
29 papers, 1.7k citations indexed

About

H. Donner is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, H. Donner has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 16 papers in Immunology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in H. Donner's work include Diabetes and associated disorders (22 papers), T-cell and B-cell Immunology (13 papers) and Immune Cell Function and Interaction (7 papers). H. Donner is often cited by papers focused on Diabetes and associated disorders (22 papers), T-cell and B-cell Immunology (13 papers) and Immune Cell Function and Interaction (7 papers). H. Donner collaborates with scholars based in Germany, Canada and Netherlands. H. Donner's co-authors include Klaus Badenhoop, K. H. Usadel, J. Braun, Paul G. Walfish, Thorsten Siegmund, Harald Rau, R. Finke, Christian Seidl, Jürgen Herwig and K. H. Usadel and has published in prestigious journals such as Cell, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

H. Donner

29 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Donner Germany 16 1.1k 781 535 256 230 29 1.7k
J. Braun Germany 12 714 0.7× 481 0.6× 351 0.7× 166 0.6× 194 0.8× 16 1.1k
Jason D. Cooper United Kingdom 11 1.6k 1.5× 932 1.2× 503 0.9× 630 2.5× 186 0.8× 13 2.6k
Jennie H. M. Yang United Kingdom 15 838 0.8× 603 0.8× 296 0.6× 439 1.7× 182 0.8× 20 1.6k
Arno R. van der Slik Netherlands 26 547 0.5× 1.3k 1.6× 270 0.5× 412 1.6× 142 0.6× 47 2.0k
Yaron Tomer United States 21 910 0.8× 596 0.8× 887 1.7× 104 0.4× 168 0.7× 27 1.7k
Hanne E. Akselsen Norway 20 703 0.6× 533 0.7× 368 0.7× 375 1.5× 37 0.2× 28 1.2k
I Deschamps France 22 1.6k 1.4× 613 0.8× 698 1.3× 941 3.7× 53 0.2× 53 2.0k
Petra Björses Finland 13 997 0.9× 808 1.0× 1.3k 2.5× 161 0.6× 55 0.2× 14 2.0k
Johanna Aaltonen Finland 11 831 0.8× 682 0.9× 931 1.7× 137 0.5× 44 0.2× 15 2.2k
Pierina Richiusa Italy 17 252 0.2× 340 0.4× 461 0.9× 214 0.8× 78 0.3× 44 1.3k

Countries citing papers authored by H. Donner

Since Specialization
Citations

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

Fields of papers citing papers by H. Donner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Donner

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

All Works

20 of 20 papers shown
1.
Polyzos, Nikolaos P., Ellen Anckaert, Panagiotis Drakopoulos, et al.. (2020). EStradiol and PRogesterone in In vitro ferTilization (ESPRIT): a multicenter study evaluating third- versus second-generation estradiol and progesterone immunoassays. Journal of Endocrinological Investigation. 43(9). 1239–1248. 4 indexed citations
2.
Badenhoop, Klaus, H. Donner, J. Braun, et al.. (2009). Genetic markers in diagnosis and prediction of relapse in Graves’ disease*. Experimental and Clinical Endocrinology & Diabetes. 104(S 04). 98–100. 12 indexed citations
3.
Braun, J., et al.. (2009). No association between the ΔF508 cystic fibrosis mutation and type 2 diabetes mellitus. Experimental and Clinical Endocrinology & Diabetes. 107(8). 568–569. 2 indexed citations
4.
Badenhoop, Klaus, et al.. (2009). Genetic susceptibility to type 1 diabetes: clinical and molecular heterogeneity of IDDM1 and IDDM12 in a german population. Experimental and Clinical Endocrinology & Diabetes. 107(S 03). S89–S92. 1 indexed citations
5.
Donner, H., Christian Seidl, Harald Rau, et al.. (2002). Unbalanced amounts of HLA‐DQA1 allele mRNA: DQA1*03 shows high and DQA1*0501 low amounts of mRNA in heterozygous individuals. European Journal of Immunogenetics. 29(4). 321–330. 8 indexed citations
8.
Donner, H., Christian Seidl, Bart Van Der Auwera, et al.. (2000). HLA‐DRB1*04 and susceptibility to type 1 diabetes mellitus in a German/Belgian family and German case‐control study. Tissue Antigens. 55(3). 271–274. 21 indexed citations
9.
Donner, H., Ralf R. Tönjes, Bart Van Der Auwera, et al.. (1999). The Presence or Absence of a Retroviral Long Terminal Repeat Influences the Genetic Risk for Type 1 Diabetes Conferred by Human Leukocyte Antigen DQ Haplotypes. The Journal of Clinical Endocrinology & Metabolism. 84(4). 1404–1408. 13 indexed citations
10.
Donner, H., Ralf R. Tönjes, Ronald E. Bontrop, et al.. (1999). Intronic sequence motifs of HLA‐DQB1 are shared between humans, apes and old world monkeys, but a retroviral LTR element (DQLTR3) is human specific. Tissue Antigens. 53(6). 551–558. 13 indexed citations
11.
Seidl, Christian, H. Donner, Eduard K. Petershofen, et al.. (1999). An endogenous retroviral long terminal repeat at the HLA-DQB1 gene locus confers susceptibility to rheumatoid arthritis. Human Immunology. 60(1). 63–68. 37 indexed citations
12.
Siegmund, Thorsten, H. Donner, J. Braun, K. H. Usadel, & Klaus Badenhoop. (1999). HLA‐DMA and HLA‐DMB alleles in German patients with type 1 diabetes mellitus. Tissue Antigens. 54(3). 291–294. 17 indexed citations
13.
Löwer, Roswitha, Ralf R. Tönjes, Klaus Böller, et al.. (1998). Development of Insulin-Dependent Diabetes Mellitus Does Not Depend on Specific Expression of the Human Endogenous Retrovirus HERV-K. Cell. 95(1). 11–14. 45 indexed citations
14.
Seidl, Christian, H. Donner, Bernard A. Fischer, et al.. (1998). CTLA4 codon 17 dimorphism in patients with rheumatoid arthritis. Tissue Antigens. 51(1). 62–66. 107 indexed citations
15.
Siegmund, Thorsten, K.-H. Usadel, H. Donner, et al.. (1998). Interferon-γ Gene Microsatellite Polymorphisms in Patients with Graves' Disease. Thyroid. 8(11). 1013–1017. 51 indexed citations
16.
Braun, J., H. Donner, Thorsten Siegmund, et al.. (1998). CTLA‐4 promoter variants in patients with Graves' disease and Hashimoto's thyroiditis. Tissue Antigens. 51(5). 563–566. 119 indexed citations
17.
Rau, Harald, H. Donner, K. H. Usadel, & Klaus Badenhoop. (1997). Polymorphisms of tumor necrosis factor receptor 2 are not associated with insulin‐dependent diabetes mellitus or Graves' disease. Tissue Antigens. 49(5). 535–536. 8 indexed citations
18.
Donner, H., Harald Rau, Paul G. Walfish, et al.. (1997). CTLA4 Alanine-17 Confers Genetic Susceptibility to Graves’ Disease and to Type 1 Diabetes Mellitus1. The Journal of Clinical Endocrinology & Metabolism. 82(1). 143–146. 339 indexed citations
19.
Rau, Harald, Alain Nicolay, K. H. Usadel, et al.. (1997). Polymorphisms of TAP 1 and TAP2 genes in Graves' disease. Tissue Antigens. 49(1). 16–22. 38 indexed citations
20.
Badenhoop, Klaus, Ralf R. Tönjes, Harald Rau, et al.. (1996). Endogenous retroviral long terminal repeats of the HLA-DQ region are associated with susceptibility to insulin-dependent diabetes mellitus. Human Immunology. 50(2). 103–110. 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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