Ilka Hoof

8.4k total citations · 2 hit papers
37 papers, 2.4k citations indexed

About

Ilka Hoof is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Ilka Hoof has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 18 papers in Molecular Biology and 9 papers in Immunology and Allergy. Recurrent topics in Ilka Hoof's work include T-cell and B-cell Immunology (16 papers), vaccines and immunoinformatics approaches (12 papers) and Immunotherapy and Immune Responses (10 papers). Ilka Hoof is often cited by papers focused on T-cell and B-cell Immunology (16 papers), vaccines and immunoinformatics approaches (12 papers) and Immunotherapy and Immune Responses (10 papers). Ilka Hoof collaborates with scholars based in Denmark, United States and Netherlands. Ilka Hoof's co-authors include Alessandro Sette, Bjoern Peters, Morten Nielsen, Ole Lund, John Sidney, Søren Buus, Tilmann Weber, Wolfgang Wohlleben, Christian Rausch and Daniel H. Huson and has published in prestigious journals such as Nucleic Acids Research, Blood and The Journal of Immunology.

In The Last Decade

Ilka Hoof

37 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NetMHCpan, a method for MHC class I binding prediction beyond humans

2008 546 citations Ilka Hoof, Bjoern Peters et al. Immunogenetics profile →
The Immune Epitope Database 2.0

2009 527 citations Randi Vita, Laura Zarebski et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilka Hoof Denmark	20	1.6k	997	432	316	244	37	2.4k
Catherine Grillot‐Courvalin France	28	987 0.6×	566 0.6×	165 0.4×	205 0.6×	206 0.8×	51	2.5k
Leonard Moise United States	33	1.5k 0.9×	1.1k 1.1×	774 1.8×	32 0.1×	543 2.2×	99	2.7k
George J. Leslie United States	20	599 0.4×	1.2k 1.2×	216 0.5×	96 0.3×	485 2.0×	27	2.5k
Joe Chiba Japan	28	882 0.5×	880 0.9×	483 1.1×	35 0.1×	856 3.5×	113	2.6k
Linda Gritz United States	23	1.2k 0.8×	1.1k 1.1×	142 0.3×	63 0.2×	308 1.3×	34	2.4k
Mark J. Cayabyab United States	18	579 0.4×	1.6k 1.6×	200 0.5×	119 0.4×	281 1.2×	31	2.5k
Richard J. Pleass United Kingdom	28	1.1k 0.7×	1.2k 1.2×	908 2.1×	21 0.1×	219 0.9×	79	2.7k
Ugo D’Oro Italy	31	1.1k 0.7×	1.6k 1.6×	248 0.6×	23 0.1×	722 3.0×	56	2.9k
Guy T. Layton United Kingdom	22	561 0.3×	794 0.8×	173 0.4×	34 0.1×	321 1.3×	50	1.7k
Hartmut J. Ehrlich Austria	31	485 0.3×	653 0.7×	152 0.4×	80 0.3×	798 3.3×	113	2.9k

Countries citing papers authored by Ilka Hoof

Since Specialization

Citations

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

Fields of papers citing papers by Ilka Hoof

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilka Hoof

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

All Works

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20 of 20 papers shown

Koenig, Joshua F. E., Niels Peter Hell Knudsen, Allyssa Phelps, et al.. (2024). Type 2–polarized memory B cells hold allergen-specific IgE memory. Science Translational Medicine. 16(733). eadi0944–eadi0944. 36 indexed citations

Hoof, Ilka, Klaus Bønnelykke, Thomas Stranzl, et al.. (2023). Genetic and T2 biomarkers linked to the efficacy of HDM sublingual immunotherapy in asthma. Thorax. 79(4). 332–339. 7 indexed citations

Hu, Tu, Tanja Todberg, David Ewald, et al.. (2022). Assessment of Spatial and Temporal Variation in the Skin Transcriptome of Atopic Dermatitis by Use of 1.5 mm Minipunch Biopsies. Journal of Investigative Dermatology. 143(4). 612–620.e6. 13 indexed citations

Hu, Tu, Tanja Todberg, Daniel Andersen, et al.. (2022). Profiling the Atopic Dermatitis Epidermal Transcriptome by Tape Stripping and BRB-seq. International Journal of Molecular Sciences. 23(11). 6140–6140. 2 indexed citations

Monsalve, Rafaél I., Ruth Gutiérrez, Ilka Hoof, & M. Lombardero. (2020). Purification and molecular characterization of phospholipase, antigen 5 and hyaluronidases from the venom of the Asian hornet (Vespa velutina). PLoS ONE. 15(1). e0225672–e0225672. 18 indexed citations

Hoof, Ilka, Véronique Schulten, Janice A. Layhadi, et al.. (2019). Allergen-specific IgG+ memory B cells are temporally linked to IgE memory responses. Journal of Allergy and Clinical Immunology. 146(1). 180–191. 56 indexed citations

Schellens, Ingrid M. M., Ilka Hoof, Hugo D. Meiring, et al.. (2015). Comprehensive Analysis of the Naturally Processed Peptide Repertoire: Differences between HLA-A and B in the Immunopeptidome. PLoS ONE. 10(9). e0136417–e0136417. 35 indexed citations

Rönnerblad, Michelle, Robin Andersson, Tor Olofsson, et al.. (2014). Analysis of the DNA methylome and transcriptome in granulopoiesis reveals timed changes and dynamic enhancer methylation. Blood. 123(17). e79–e89. 60 indexed citations

Ntini, Evgenia, Aino I. Järvelin, Jette Bornholdt, et al.. (2013). Polyadenylation site–induced decay of upstream transcripts enforces promoter directionality. Nature Structural & Molecular Biology. 20(8). 923–928. 216 indexed citations

10.

Jessen, Leon Eyrich, Ilka Hoof, Ole Lund, & Morten Nielsen. (2013). SigniSite: Identification of residue-level genotype-phenotype correlations in protein multiple sequence alignments. Nucleic Acids Research. 41(W1). W286–W291. 16 indexed citations

11.

Keşmir, Can, et al.. (2012). Protective HLA Molecules Determine Infection Outcome by Preferential Presentation of Peptides From Conserved Hepatitis C Proteins. Immunology. 137. 483–483. 1 indexed citations

12.

Sette, Alessandro, John Sidney, Scott Southwood, et al.. (2012). A shared MHC supertype motif emerges by convergent evolution in macaques and mice, but is totally absent in human MHC molecules. Immunogenetics. 64(6). 421–434. 7 indexed citations

13.

Doxiadis, Gaby G. M., Ilka Hoof, Nanine de Groot, & Ronald E. Bontrop. (2012). Evolution of HLA-DRB Genes. Molecular Biology and Evolution. 29(12). 3843–3853. 22 indexed citations

14.

Hoof, Ilka, et al.. (2011). HLA class I allele promiscuity revisited. Immunogenetics. 63(11). 691–701. 43 indexed citations

15.

Southwood, Scott, Ilka Hoof, Richard Rudersdorf, et al.. (2010). The most common Chinese rhesus macaque MHC class I molecule shares peptide binding repertoire with the HLA-B7 supertype. Immunogenetics. 62(7). 451–464. 25 indexed citations

16.

Lundegaard, Claus, Ilka Hoof, Ole Lund, & Morten Nielsen. (2010). State of the art and challenges in sequence based T-cell epitope prediction. PubMed. 6(Suppl 2). S3–S3. 49 indexed citations

17.

Vita, Randi, Laura Zarebski, Jason Greenbaum, et al.. (2009). The Immune Epitope Database 2.0. Nucleic Acids Research. 38(suppl_1). D854–D862. 527 indexed citations breakdown →

18.

Rapin, Nicolas, Ilka Hoof, Ole Lund, & Morten Nielsen. (2008). MHC motif viewer. Immunogenetics. 60(12). 759–765. 52 indexed citations

19.

Hoof, Ilka, Can Keşmir, Ole Lund, & Morten Nielsen. (2008). Humans with chimpanzee-like major histocompatibility complex-specificities control HIV-1 infection. AIDS. 22(11). 1299–1303. 6 indexed citations

20.

Rausch, Christian, Ilka Hoof, Tilmann Weber, Wolfgang Wohlleben, & Daniel H. Huson. (2007). Phylogenetic analysis of condensation domains in NRPS sheds light on their functional evolution. BMC Evolutionary Biology. 7(1). 78–78. 260 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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