Ilka Hoof
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Virology top 5%
Papers in
- Immunology 18
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 7
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- vaccines and immunoinformatics approaches 11
- Co-authors
- Alessandro Sette (7 shared papers)Bjoern Peters (5 shared papers)Morten Nielsen (8 shared papers)Ole Lund (8 shared papers)John Sidney (5 shared papers)Søren Buus (2 shared papers)Tilmann Weber (2 shared papers)Wolfgang Wohlleben (2 shared papers)
- Journals
- Immunogenetics (7 papers)PLoS ONE (3 papers)The Journal of Immunology (3 papers)Nucleic Acids Research (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- DenmarkUnited StatesNetherlands
In The Last Decade
Ilka Hoof
37 papers receiving 2.4k citations
Ilka Hoof's Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 876
- Virology 139
- Molecular Biology 1.6k
- Immunology and Allergy 126
- Pharmacology 306
Countries citing papers authored by Ilka Hoof
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
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-authors
The 25 scholars most cited alongside Ilka Hoof, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NetMHCpan, a method for MHC class I binding prediction beyond humans Hit paper breakdown → | 2008 | 554 |
| 2 | The Immune Epitope Database 2.0 Hit paper breakdown → | 2009 | 527 |
| 3 | 2007 | 263 | |
| 4 | 2013 | 219 | |
| 5 | 2009 | 126 | |
| 6 | 2014 | 61 | |
| 7 | 2019 | 59 | |
| 8 | 2008 | 52 | |
| 9 | 2010 | 49 | |
| 10 | 2024 | 44 | |
| 11 | 2011 | 43 | |
| 12 | 2010 | 37 | |
| 13 | 2015 | 36 | |
| 14 | 2010 | 32 | |
| 15 | 2010 | 31 | |
| 16 | 2012 | 30 | |
| 17 | 2010 | 25 | |
| 18 | 2012 | 23 | |
| 19 | 2012 | 23 | |
| 20 | 2015 | 22 |
About Ilka Hoof
Ilka Hoof is a scholar working on Immunology, Molecular Biology, Virology, Immunology and Allergy and Epidemiology, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), vaccines and immunoinformatics approaches (11 papers), Immunotherapy and Immune Responses (10 papers), Allergic Rhinitis and Sensitization (7 papers), Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Immunology (876 citations), Virology (139 citations), Molecular Biology (1.6k citations), Immunology and Allergy (126 citations) and Pharmacology (306 citations). Ilka Hoof has collaborated with scholars based in Denmark, United States and Netherlands. Frequent 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. Their work appears in journals such as Immunogenetics, PLoS ONE, The Journal of Immunology, Nucleic Acids Research and PLoS Computational Biology.
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.