Rudi W. Hendriks

19.1k total citations · 2 hit papers
285 papers, 13.8k citations indexed

About

Rudi W. Hendriks is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Rudi W. Hendriks has authored 285 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Immunology, 57 papers in Genetics and 55 papers in Molecular Biology. Recurrent topics in Rudi W. Hendriks's work include Immunodeficiency and Autoimmune Disorders (80 papers), T-cell and B-cell Immunology (74 papers) and Immune Cell Function and Interaction (62 papers). Rudi W. Hendriks is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (80 papers), T-cell and B-cell Immunology (74 papers) and Immune Cell Function and Interaction (62 papers). Rudi W. Hendriks collaborates with scholars based in Netherlands, United States and Germany. Rudi W. Hendriks's co-authors include Menno van Nimwegen, Gemma M. Dingjan, Henk C. Hoogsteden, Marjolein J. W. de Bruijn, Laurens P. Kil, Simar Pal Singh, Floris Dammeijer, Ingrid M. Bergen, Roel G. J. Klein Wolterink and Odilia B. J. Corneth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Rudi W. Hendriks

280 papers receiving 13.6k 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.

Role of Bruton’s tyrosine kinase in B cells and malignancies

2018 510 citations Floris Dammeijer, Rudi W. Hendriks et al. profile →
Targeting Bruton's tyrosine kinase in B cell malignancies

2014 399 citations Rudi W. Hendriks et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rudi W. Hendriks Netherlands	62	7.2k	3.8k	2.4k	2.1k	2.0k	285	13.8k
Shu Man Fu United States	67	9.1k 1.3×	2.8k 0.7×	1.6k 0.7×	1.1k 0.5×	1.2k 0.6×	227	13.6k
Tatsutoshi Nakahata Japan	77	7.5k 1.1×	8.4k 2.2×	2.9k 1.2×	2.6k 1.2×	3.9k 1.9×	423	21.7k
Pierre Youinou France	56	5.4k 0.8×	1.8k 0.5×	1.0k 0.4×	2.7k 1.3×	911 0.5×	476	12.6k
Ana Cumano France	57	8.6k 1.2×	6.6k 1.8×	1.3k 0.5×	1.0k 0.5×	1.9k 1.0×	162	16.3k
Dean D. Metcalfe United States	86	17.2k 2.4×	4.7k 1.3×	2.5k 1.0×	5.9k 2.7×	834 0.4×	411	25.9k
Takashi Yokota Japan	70	6.5k 0.9×	6.8k 1.8×	532 0.2×	2.5k 1.2×	2.9k 1.4×	418	19.6k
Austin Gurney United States	57	7.2k 1.0×	8.9k 2.4×	804 0.3×	1.3k 0.6×	5.4k 2.7×	98	19.9k
Talal A. Chatila United States	69	11.0k 1.5×	4.5k 1.2×	558 0.2×	2.7k 1.3×	1.7k 0.8×	213	18.7k
Tony E. Hugli United States	63	6.4k 0.9×	3.6k 1.0×	1.5k 0.7×	1.6k 0.8×	793 0.4×	205	13.0k
David P. Witte United States	65	2.2k 0.3×	5.9k 1.6×	756 0.3×	2.0k 0.9×	1.9k 0.9×	240	13.3k

Countries citing papers authored by Rudi W. Hendriks

Since Specialization

Citations

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

Fields of papers citing papers by Rudi W. Hendriks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudi W. Hendriks. 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 Rudi W. Hendriks. The network helps show where Rudi W. Hendriks may publish in the future.

Co-authorship network of co-authors of Rudi W. Hendriks

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

Hendriks, Rudi W., et al.. (2025). Chronic Inflammation in Asthma: Looking Beyond the Th2 Cell. Immunological Reviews. 330(1). e70010–e70010. 14 indexed citations

Berg, Marijn, Lisette Krabbendam, Menno van Nimwegen, et al.. (2025). Evidence for altered immune-structural cell crosstalk in cystic fibrosis revealed by single cell transcriptomics. Journal of Cystic Fibrosis. 24(5). 849–860. 1 indexed citations

Folkerts, Jelle, Frank A. Redegeld, Gert Folkerts, et al.. (2020). Butyrate inhibits human mast cell activation via epigenetic regulation of FcεRI‐mediated signaling. Allergy. 75(8). 1966–1978. 125 indexed citations

Goeje, Pauline L. de, Koen Bezemer, Margaretha E.H. Kaijen-Lambers, et al.. (2019). Induction of Peripheral Effector CD8 T-cell Proliferation by Combination of Paclitaxel, Carboplatin, and Bevacizumab in Non–small Cell Lung Cancer Patients. Clinical Cancer Research. 25(7). 2219–2227. 40 indexed citations

Vroman, Heleen, Ingrid M. Bergen, Jennifer A. C. van Hulst, et al.. (2018). House dust mite‐driven neutrophilic airway inflammation in mice with TNFAIP3‐deficient myeloid cells is IL‐17‐independent. Clinical & Experimental Allergy. 48(12). 1705–1714. 9 indexed citations

Sauteur, Patrick M. Meyer, Adrianus C. J. M. de Bruijn, Anne P. Tio‐Gillen, et al.. (2018). Antibodies to Protein but Not Glycolipid Structures Are Important for Host Defense against Mycoplasma pneumoniae. Infection and Immunity. 87(2). 11 indexed citations

Dammeijer, Floris, Lysanne A. Lievense, Menno van Nimwegen, et al.. (2017). Depletion of Tumor-Associated Macrophages with a CSF-1R Kinase Inhibitor Enhances Antitumor Immunity and Survival Induced by DC Immunotherapy. Cancer Immunology Research. 5(7). 535–546. 123 indexed citations

Aerts, Joachim G.J.V., Pauline L. de Goeje, Robin Cornelissen, et al.. (2017). Autologous Dendritic Cells Pulsed with Allogeneic Tumor Cell Lysate in Mesothelioma: From Mouse to Human. Clinical Cancer Research. 24(4). 766–776. 71 indexed citations

Beek, Adriaan A. van, Bruno Sovran, Floor Hugenholtz, et al.. (2016). Supplementation with Lactobacillus plantarum WCFS1 Prevents Decline of Mucus Barrier in Colon of Accelerated Aging Ercc1−/Δ7 Mice. Frontiers in Immunology. 7. 408–408. 52 indexed citations

10.

Bobisse, Sara, Alessia Lamolinara, Francesco De Sanctis, et al.. (2016). Feasibility of Telomerase-Specific Adoptive T-cell Therapy for B-cell Chronic Lymphocytic Leukemia and Solid Malignancies. Cancer Research. 76(9). 2540–2551. 25 indexed citations

11.

Cornelissen, Robin, Joost P. Hegmans, Alexander P.W.M. Maat, et al.. (2015). Extended Tumor Control after Dendritic Cell Vaccination with Low-Dose Cyclophosphamide as Adjuvant Treatment in Patients with Malignant Pleural Mesothelioma. American Journal of Respiratory and Critical Care Medicine. 193(9). 1023–1031. 83 indexed citations

12.

Ramstein, Joris, Caroline E. Broos, Laura J. Simpson, et al.. (2015). IFN-γ–Producing T-Helper 17.1 Cells Are Increased in Sarcoidosis and Are More Prevalent than T-Helper Type 1 Cells. American Journal of Respiratory and Critical Care Medicine. 193(11). 1281–1291. 187 indexed citations

13.

Serafini, Nicolas, Roel G. J. Klein Wolterink, Naoko Satoh‐Takayama, et al.. (2014). Gata3 drives development of RORγt+ group 3 innate lymphoid cells. The Journal of Experimental Medicine. 211(2). 199–208. 167 indexed citations

14.

García‐Ojeda, Marcos E., Roel G. J. Klein Wolterink, Fabrice Lemaı̂tre, et al.. (2013). GATA-3 promotes T-cell specification by repressing B-cell potential in pro–T cells in mice. Blood. 121(10). 1749–1759. 79 indexed citations

15.

Hegmans, Joost P., Joris D. Veltman, Margaretha Lambers, et al.. (2010). Consolidative Dendritic Cell-based Immunotherapy Elicits Cytotoxicity against Malignant Mesothelioma. American Journal of Respiratory and Critical Care Medicine. 181(12). 1383–1390. 120 indexed citations

16.

GeurtsvanKessel, Corine H., Monique Willart, Ingrid M. Bergen, et al.. (2009). Dendritic cells are crucial for maintenance of tertiary lymphoid structures in the lung of influenza virus–infected mice. The Journal of Experimental Medicine. 206(11). 2339–2349. 288 indexed citations

17.

Dekker, Sylvia, Rudi W. Hendriks, George Panayotou, et al.. (2006). Generation of heavy-chain-only antibodies in mice. Proceedings of the National Academy of Sciences. 103(41). 15130–15135. 60 indexed citations

18.

Noordzij, Jeroen G., Sandra de Bruin-Versteeg, W M Comans-Bitter, et al.. (2002). Composition of Precursor B-Cell Compartment in Bone Marrow from Patients with X-Linked Agammaglobulinemia Compared with Healthy Children. Pediatric Research. 51(2). 159–168. 62 indexed citations

19.

Staal, Frank J. T., Floor Weerkamp, Anton W. Langerak, Rudi W. Hendriks, & Hans Clevers. (2001). Transcriptional Control of T Lymphocyte Differentiation. Stem Cells. 19(3). 165–179. 55 indexed citations

20.

Hendriks, Rudi W.. (1992). FIELD EVALUATION OF ACOUSTICAL PERFORMANCE OF PARALLEL HIGHWAY NOISE BARRIERS IN CALIFORNIA. Transportation Research Record Journal of the Transportation Research Board. 4 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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