Erik Hooijberg
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Epidemiology top 10%
- Co-authors
- Janneke J. RuizendaalChris J.L.M. MeijerTanja D. de GruijlHergen SpitsEsther W. M. KueterHetty J. BontkesRik J. ScheperDuco Kramer
- Topics
- Immunotherapy and Immune Responses (55 papers)CAR-T cell therapy research (35 papers)Immune Cell Function and Interaction (26 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Erik Hooijberg
95 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Immunology 2.0k
- Oncology 1.4k
- Molecular Biology 1.1k
- Genetics 348
- Epidemiology 291
Countries citing papers authored by Erik Hooijberg
This map shows the geographic impact of Erik Hooijberg'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 Erik Hooijberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Hooijberg more than expected).
Fields of papers citing papers by Erik Hooijberg
This network shows the impact of papers produced by Erik Hooijberg. 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 Erik Hooijberg. The network helps show where Erik Hooijberg may publish in the future.
Co-authorship network of co-authors of Erik Hooijberg
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Hooijberg. A scholar is included among the top collaborators of Erik Hooijberg 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 Erik Hooijberg. Erik Hooijberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 18 | |
| 6 | 19 | |
| 7 | 31 | |
| 8 | 9 | |
| 9 | 75 | |
| 10 | 54 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 46 | |
| 14 | 46 | |
| 15 | 16 | |
| 16 | In vitro priming of tumor-specific cytotoxic T lymphocytes from healthy donors using allogeneic dendritic cells derived from the MUTZ-3 cell line (NMDC) | 1 |
| 17 | 51 | |
| 18 | 112 | |
| 19 | 35 | |
| 20 | 144 |
About Erik Hooijberg
Erik Hooijberg is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine, having authored 95 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (55 papers), CAR-T cell therapy research (35 papers) and Immune Cell Function and Interaction (26 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.4k citations) and Molecular Biology (1.1k citations). Erik Hooijberg has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Janneke J. Ruizendaal, Chris J.L.M. Meijer, Tanja D. de Gruijl, Hergen Spits, Esther W. M. Kueter, Hetty J. Bontkes, Rik J. Scheper, Duco Kramer, Saskia J. Santegoets and Nuno Clode. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
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.