Inez-Anne Haagen
- Immunology top 5%
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 2
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- CAR-T cell therapy research 6
- Epidemiology top 10%
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- Monoclonal and Polyclonal Antibodies Research 9
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- Chronic Lymphocytic Leukemia Research 2
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- Glycosylation and Glycoproteins Research 1
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- Healthcare cost, quality, practices 1
- Co-authors
- Frédéric AltarePeter J.C. van Breda VriesmanTjitske de BoerJaap T. van DisselPeter KabelFrank P. KroonTom H. M. OttenhoffJean‐Laurent Casanova
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- NetherlandsUnited KingdomFrance
In The Last Decade
Inez-Anne Haagen
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 612
- Infectious Diseases 307
- Oncology 219
- Epidemiology 265
- Radiology, Nuclear Medicine and Imaging 174
Countries citing papers authored by Inez-Anne Haagen
This map shows the geographic impact of Inez-Anne Haagen'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 Inez-Anne Haagen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inez-Anne Haagen more than expected).
Fields of papers citing papers by Inez-Anne Haagen
This network shows the impact of papers produced by Inez-Anne Haagen. 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 Inez-Anne Haagen. The network helps show where Inez-Anne Haagen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inez-Anne Haagen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2020 | 3 | |
| 3 | 2018 | 5 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 22 | |
| 6 | 2014 | 40 | |
| 7 | Severe Mycobacterial and Salmonella Infections in Interleukin-12 Receptor-Deficient Patientsbreakdown → | 1998 | 640 |
| 8 | 1998 | 86 | |
| 9 | 1995 | 55 | |
| 10 | 1995 | 40 | |
| 11 | 1995 | 12 | |
| 12 | 1995 | 10 | |
| 13 | 1995 | 26 | |
| 14 | 1994 | 19 | |
| 15 | 1992 | 28 | |
| 16 | 1990 | 45 |
About Inez-Anne Haagen
Inez-Anne Haagen is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Immunology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (6 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), T-cell and B-cell Immunology (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Immunology (612 citations), Infectious Diseases (307 citations) and Oncology (219 citations). Inez-Anne Haagen has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include Frédéric Altare, Peter J.C. van Breda Vriesman, Tjitske de Boer, Jaap T. van Dissel, Peter Kabel, Frank P. Kroon, Tom H. M. Ottenhoff, Jean‐Laurent Casanova, Diënne G. Elferink and Rolien de Jong. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Immunology.
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.