Frank A. W. Verreck

6.7k total citations · 2 hit papers
64 papers, 5.2k citations indexed

About

Frank A. W. Verreck is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Frank A. W. Verreck has authored 64 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 29 papers in Infectious Diseases and 19 papers in Epidemiology. Recurrent topics in Frank A. W. Verreck's work include Tuberculosis Research and Epidemiology (25 papers), Immune Cell Function and Interaction (22 papers) and Immunotherapy and Immune Responses (19 papers). Frank A. W. Verreck is often cited by papers focused on Tuberculosis Research and Epidemiology (25 papers), Immune Cell Function and Interaction (22 papers) and Immunotherapy and Immune Responses (19 papers). Frank A. W. Verreck collaborates with scholars based in Netherlands, United Kingdom and United States. Frank A. W. Verreck's co-authors include Tom H. M. Ottenhoff, Tjitske de Boer, Marieke A. Hoeve, Dennis M. L. Langenberg, René de Waal Malefyt, Frits Koning, Peter A. van Veelen, Jacques Neefjes, Elizabeth K. Wansley and Elly Mesman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Frank A. W. Verreck

64 papers receiving 5.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Radiation modulates the peptide repertoire, enhances MHC class I expression, and induces successful antitumor immunotherapy

2006 1.3k citations Eric A. Reits, James W. Hodge et al. The Journal of Experimental Medicine profile →
Human IL-23-producing type 1 macrophages promote but IL-10-producing type 2 macrophages subvert immunity to (myco)bacteria

2004 796 citations Frank A. W. Verreck, Tjitske de Boer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank A. W. Verreck Netherlands	31	3.4k	1.6k	1.3k	1.1k	825	64	5.2k
Ronald L. Rabin United States	36	3.7k 1.1×	1.2k 0.8×	1.1k 0.8×	1.4k 1.3×	800 1.0×	89	5.8k
Jan Pravsgaard Christensen Denmark	42	3.9k 1.2×	1.6k 1.0×	814 0.6×	1.6k 1.4×	1.2k 1.4×	149	6.3k
Shohei Koyama Japan	34	2.8k 0.8×	1.3k 0.8×	555 0.4×	825 0.7×	1.6k 2.0×	141	5.2k
Linde Meyaard Netherlands	47	4.3k 1.3×	855 0.5×	699 0.5×	995 0.9×	1.0k 1.2×	120	6.4k
Paul Ponath United States	32	5.4k 1.6×	2.6k 1.7×	826 0.6×	584 0.5×	1.0k 1.2×	66	8.2k
Awen Gallimore United Kingdom	51	6.1k 1.8×	2.3k 1.4×	780 0.6×	1.2k 1.1×	1.4k 1.7×	122	8.1k
David G. Brooks United States	48	4.6k 1.4×	1.6k 1.0×	1.2k 1.0×	1.4k 1.3×	2.3k 2.7×	120	8.4k
Alfredo Salerno Italy	35	2.8k 0.8×	1.2k 0.7×	798 0.6×	768 0.7×	480 0.6×	90	4.2k
Julia A. Brown United States	21	4.1k 1.2×	1.6k 1.0×	836 0.6×	702 0.6×	573 0.7×	37	6.2k
Guy Gorochov France	42	4.7k 1.4×	1.5k 0.9×	623 0.5×	807 0.7×	979 1.2×	111	7.4k

Countries citing papers authored by Frank A. W. Verreck

Since Specialization

Citations

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

Fields of papers citing papers by Frank A. W. Verreck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank A. W. Verreck. 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 Frank A. W. Verreck. The network helps show where Frank A. W. Verreck may publish in the future.

Co-authorship network of co-authors of Frank A. W. Verreck

This figure shows the co-authorship network connecting the top 25 collaborators of Frank A. W. Verreck. A scholar is included among the top collaborators of Frank A. W. Verreck 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 Frank A. W. Verreck. Frank A. W. Verreck 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

Niewold, Paula, Marieke E. Ijsselsteijn, Karin Dijkman, et al.. (2025). NK cell-macrophage interactions in granulomas correlate with limited tuberculosis pathology. PLoS Pathogens. 21(8). e1012980–e1012980. 1 indexed citations

Satti, Iman, Andrew White, Karin Dijkman, et al.. (2024). Mtb-Specific HLA-E-Restricted T Cells Are Induced during Mtb Infection but Not after BCG Administration in Non-Human Primates and Humans. Vaccines. 12(10). 1129–1129. 2 indexed citations

Niewold, Paula, Yi Cai, Delia Goletti, et al.. (2023). Identification of circulating monocytes as producers of tuberculosis disease biomarker C1q. Scientific Reports. 13(1). 11617–11617. 5 indexed citations

Niewold, Paula, Marieke E. Ijsselsteijn, Frank A. W. Verreck, Tom H. M. Ottenhoff, & Simone A. Joosten. (2022). An imaging mass cytometry immunophenotyping panel for non-human primate tissues. Frontiers in Immunology. 13. 915157–915157. 3 indexed citations

Dijkman, Karin, Nacho Aguiló, Charelle Boot, et al.. (2021). Pulmonary MTBVAC vaccination induces immune signatures previously correlated with prevention of tuberculosis infection. Cell Reports Medicine. 2(1). 100187–100187. 33 indexed citations

Dijkman, Karin, Rosalie Lubbers, Tom H. M. Ottenhoff, et al.. (2020). Systemic and pulmonary C1q as biomarker of progressive disease in experimental non-human primate tuberculosis. Scientific Reports. 10(1). 6290–6290. 15 indexed citations

Dijkman, Karin, Claudia C. Sombroek, Richard A. W. Vervenne, et al.. (2019). Prevention of tuberculosis infection and disease by local BCG in repeatedly exposed rhesus macaques. Nature Medicine. 25(2). 255–262. 194 indexed citations

Lugo‐Villarino, Geanncarlo, Luciana Balboa, Claire Lastrucci, et al.. (2018). The C-Type Lectin Receptor DC-SIGN Has an Anti-Inflammatory Role in Human M(IL-4) Macrophages in Response to Mycobacterium tuberculosis. Frontiers in Immunology. 9. 1123–1123. 52 indexed citations

Lubbers, Rosalie, Jayne S. Sutherland, Delia Goletti, et al.. (2018). Complement Component C1q as Serum Biomarker to Detect Active Tuberculosis. Frontiers in Immunology. 9. 2427–2427. 46 indexed citations

10.

Hart, Bert A. ‘t, Willy Bogers, Krista G. Haanstra, Frank A. W. Verreck, & Clemens H. M. Kocken. (2015). The translational value of non-human primates in preclinical research on infection and immunopathology. European Journal of Pharmacology. 759. 69–83. 21 indexed citations

11.

Lastrucci, Claire, Alan Bénard, Luciana Balboa, et al.. (2015). Tuberculosis is associated with expansion of a motile, permissive and immunomodulatory CD16+ monocyte population via the IL-10/STAT3 axis. Cell Research. 25(12). 1333–1351. 91 indexed citations

12.

Reits, Eric A., James W. Hodge, Carla Herberts, et al.. (2006). Radiation modulates the peptide repertoire, enhances MHC class I expression, and induces successful antitumor immunotherapy. The Journal of Experimental Medicine. 203(5). 1259–1271. 1346 indexed citations breakdown →

13.

Hoeve, Marieke A., Nigel D. L. Savage, Tjitske de Boer, et al.. (2006). Divergent effects of IL‐12 and IL‐23 on the production of IL‐17 by human T cells. European Journal of Immunology. 36(3). 661–670. 200 indexed citations

14.

Reits, Eric A., James W. Hodge, Carla Herberts, et al.. (2006). Radiation modulates the peptide repertoire, enhances MHC class I expression, and induces successful antitumor immunotherapy. The Journal of Cell Biology. 173(4). i6–i6. 65 indexed citations

15.

Muntasell, Aura, Montserrat Carrascal, Iñaki Álvarez, et al.. (2004). Dissection of the HLA-DR4 Peptide Repertoire in Endocrine Epithelial Cells: Strong Influence of Invariant Chain and HLA-DM Expression on the Nature of Ligands. The Journal of Immunology. 173(2). 1085–1093. 36 indexed citations

16.

Lebbink, Misjaël N., Bruno M. Humbel, Willie J. C. Geerts, et al.. (2004). 3‐D Structure of Multilaminar Lysosomes in Antigen Presenting Cells Reveals Trapping of MHC II on the Internal Membranes. Traffic. 5(12). 936–945. 26 indexed citations

17.

Hoeve, Marieke A., Tjitske de Boer, Dennis M. L. Langenberg, et al.. (2003). IL‐12 receptor deficiency revisited: IL‐23‐mediated signaling is also impaired in human genetic IL‐12 receptor β1 deficiency. European Journal of Immunology. 33(12). 3393–3397. 25 indexed citations

18.

Muntasell, Aura, Montserrat Carrascal, Laurence Serradell, et al.. (2002). HLA-DR4 Molecules in Neuroendocrine Epithelial Cells Associate to a Heterogeneous Repertoire of Cytoplasmic and Surface Self Peptides. The Journal of Immunology. 169(9). 5052–5060. 27 indexed citations

19.

Lichtenauer-Kaligis, Elgin G.R., Tjitske de Boer, Frank A. W. Verreck, et al.. (2002). Severe Mycobacterium bovis BCG infections in a large series of novel IL–12 receptor β1 deficient patients and evidence for the existence of partial IL–12 receptor β1 deficiency. European Journal of Immunology. 33(1). 59–69. 69 indexed citations

20.

Verreck, Frank A. W., Christine A. Fargeas, & Günter J. Hämmerling. (2001). Conformational alterations during biosynthesis of HLA-DR3 molecules controlled by invariant chain and HLA-DM. European Journal of Immunology. 31(4). 1029–1036. 22 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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