Theo S. Plantinga

7.9k total citations · 1 hit paper
92 papers, 4.4k citations indexed

About

Theo S. Plantinga is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Theo S. Plantinga has authored 92 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 32 papers in Epidemiology and 31 papers in Molecular Biology. Recurrent topics in Theo S. Plantinga's work include Antifungal resistance and susceptibility (17 papers), Autophagy in Disease and Therapy (13 papers) and Immune Response and Inflammation (13 papers). Theo S. Plantinga is often cited by papers focused on Antifungal resistance and susceptibility (17 papers), Autophagy in Disease and Therapy (13 papers) and Immune Response and Inflammation (13 papers). Theo S. Plantinga collaborates with scholars based in Netherlands, United States and Romania. Theo S. Plantinga's co-authors include Mihai G. Netea, Leo A. B. Joosten, Frank L. van de Veerdonk, J.W.M. van der Meer, Bart Jan Kullberg, Johannes W. A. Smit, Romana T. Netea‐Maier, Marije Oosting, Sanne P. Smeekens and Alexander Hoischen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Theo S. Plantinga

92 papers receiving 4.4k citations

Hit Papers

align trajectories

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.

STAT1 Mutations in Autosomal Dominant Chronic Mucocutaneous Candidiasis

2011 436 citations Frank L. van de Veerdonk, Theo S. Plantinga et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Theo S. Plantinga Netherlands	36	1.9k	1.7k	1.2k	1.2k	433	92	4.4k
Sean Proll United States	38	3.1k 1.6×	2.2k 1.3×	2.4k 1.9×	1.1k 0.9×	835 1.9×	82	7.2k
Judd E. Shellito United States	36	3.0k 1.6×	2.2k 1.3×	1.1k 0.8×	1.4k 1.2×	390 0.9×	113	6.3k
Marcel van Deuren Netherlands	38	2.0k 1.1×	1.4k 0.8×	1.2k 1.0×	674 0.6×	281 0.6×	127	4.9k
Subash Sad Canada	37	4.7k 2.5×	1.1k 0.7×	2.0k 1.6×	782 0.7×	379 0.9×	99	7.7k
Karl A. Brokstad Norway	37	1.7k 0.9×	1.6k 0.9×	1.1k 0.9×	738 0.6×	545 1.3×	112	5.1k
André Boonstra Netherlands	42	5.0k 2.6×	2.8k 1.7×	916 0.7×	720 0.6×	365 0.8×	170	8.8k
László Maródi Hungary	37	1.9k 1.0×	1.3k 0.8×	792 0.6×	883 0.7×	786 1.8×	136	4.4k
Sanna M. Goyert United States	43	4.6k 2.4×	1.3k 0.8×	1.5k 1.2×	475 0.4×	348 0.8×	85	6.8k
Stephan R. Krutzik United States	29	2.8k 1.5×	1.4k 0.8×	966 0.8×	1.4k 1.2×	141 0.3×	41	5.5k
Hisako Kayama Japan	33	1.7k 0.9×	909 0.5×	2.2k 1.8×	636 0.5×	572 1.3×	64	4.8k

Countries citing papers authored by Theo S. Plantinga

Since Specialization

Citations

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

Fields of papers citing papers by Theo S. Plantinga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theo S. Plantinga. 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 Theo S. Plantinga. The network helps show where Theo S. Plantinga may publish in the future.

Co-authorship network of co-authors of Theo S. Plantinga

This figure shows the co-authorship network connecting the top 25 collaborators of Theo S. Plantinga. A scholar is included among the top collaborators of Theo S. Plantinga 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 Theo S. Plantinga. Theo S. Plantinga 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

Bakema, Jantine E., Marijke Stigter‐van Walsum, Jeffrey R. Harris, et al.. (2023). An Antibody–Drug Conjugate Directed to Tissue Factor Shows Preclinical Antitumor Activity in Head and Neck Cancer as a Single Agent and in Combination with Chemoradiotherapy. Molecular Cancer Therapeutics. 23(2). 187–198. 5 indexed citations

Kemper, Kristel, Péter Boross, Mischa Houtkamp, et al.. (2022). Mechanistic and pharmacodynamic studies of DuoBody-CD3x5T4 in preclinical tumor models. Life Science Alliance. 5(11). e202201481–e202201481. 3 indexed citations

Boshuizen, Julia, Nora Pencheva, Oscar Krijgsman, et al.. (2021). Cooperative Targeting of Immunotherapy-Resistant Melanoma and Lung Cancer by an AXL-Targeting Antibody–Drug Conjugate and Immune Checkpoint Blockade. Cancer Research. 81(7). 1775–1787. 48 indexed citations

Nagarajah, James, Willem E. Corver, Catrin Pritchard, et al.. (2021). Digoxin treatment reactivates in vivo radioactive iodide uptake and correlates with favorable clinical outcome in non‐medullary thyroid cancer. Cellular Oncology. 44(3). 611–625. 10 indexed citations

Swarts, Herman G.P., Otto C. Boerman, Jan J. Koenderink, et al.. (2016). Digitalis-like Compounds Facilitate Non-Medullary Thyroid Cancer Redifferentiation through Intracellular Ca2+, FOS, and Autophagy-Dependent Pathways. Molecular Cancer Therapeutics. 16(1). 169–181. 20 indexed citations

Roerink, S. H. P. P., Margreet A. E. M. Wagenmakers, Johannes W. A. Smit, et al.. (2016). Glucocorticoid receptor polymorphisms modulate cardiometabolic risk factors in patients in long-term remission of Cushing’s syndrome. Endocrine. 53(1). 63–70. 17 indexed citations

Berkel, Anouk van, Jyotsna U. Rao, Jacques W.M. Lenders, et al.. (2015). Semiquantitative ¹²³I-Metaiodobenzylguanidine Scintigraphy to Distinguish Pheochromocytoma and Paraganglioma from Physiologic Adrenal Uptake and Its Correlation with Genotype-Dependent Expression of Catecholamine Transporters. Journal of Nuclear Medicine. 56(6). 839–846. 20 indexed citations

Rosentul, Diana C., Theo S. Plantinga, Marius Fărcaş, et al.. (2014). Role of autophagy genetic variants for the risk of Candida infections. Medical Mycology. 52(4). 333–341. 17 indexed citations

Plantinga, Theo S., Esther van de Vosse, Mihai G. Netea, et al.. (2014). Role of Genetic Variants of Autophagy Genes in Susceptibility for Non-Medullary Thyroid Cancer and Patients Outcome. PLoS ONE. 9(4). e94086–e94086. 33 indexed citations

10.

Abu‐Amero, Khaled K., Martin Jaeger, Theo S. Plantinga, Mihai G. Netea, & Hisham Y. Hassan. (2013). Genetic Variation of TLR2 and TLR4 Among the Saudi Arabian Population: Insight into the Evolutionary Dynamics of the Arabian Peninsula. Genetic Testing and Molecular Biomarkers. 17(2). 166–169. 6 indexed citations

11.

Jaeger, Martin, Trees Jansen, Liesbeth Jacobs, et al.. (2013). Chocolate consumption modulates cytokine production in healthy individuals. Cytokine. 62(1). 40–43. 14 indexed citations

12.

Plantinga, Theo S., Jaap Fransen, Rachel Knevel, et al.. (2013). Role of NOD1 polymorphism in susceptibility and clinical progression of rheumatoid arthritis. Lara D. Veeken. 52(5). 806–814. 14 indexed citations

13.

Strauss, Adam C., Theo S. Plantinga, Alexander Hoischen, et al.. (2013). Novel PI3Kγ Mutation in a 44-Year-Old Man with Chronic Infections and Chronic Pelvic Pain. PLoS ONE. 8(7). e68118–e68118. 1 indexed citations

14.

Kleinnijenhuis, Johanneke, Bachti Alisjahbana, Edhyana Sahiratmadja, et al.. (2012). Polymorphisms in Autophagy Genes and Susceptibility to Tuberculosis. PLoS ONE. 7(8). e41618–e41618. 43 indexed citations

15.

Martínez‐Cruz, Begoña, Mihai Ioana, Francesc Calafell, et al.. (2012). Y-Chromosome Analysis in Individuals Bearing the Basarab Name of the First Dynasty of Wallachian Kings. PLoS ONE. 7(7). e41803–e41803. 11 indexed citations

16.

Chai, Louis Yi Ann, Mark de Boer, Walter J. F. M. van der Velden, et al.. (2011). The Y238X Stop Codon Polymorphism in the Human β-Glucan Receptor Dectin-1 and Susceptibility to Invasive Aspergillosis. The Journal of Infectious Diseases. 203(5). 736–743. 88 indexed citations

17.

Plantinga, Theo S., Mihai Ioana, Santos Alonso, et al.. (2011). The Evolutionary History of TLR4 Polymorphisms in Europe. Journal of Innate Immunity. 4(2). 168–175. 14 indexed citations

18.

Veerdonk, Frank L. van de, Theo S. Plantinga, Alexander Hoischen, et al.. (2011). STAT1 Mutations in Autosomal Dominant Chronic Mucocutaneous Candidiasis. New England Journal of Medicine. 365(1). 54–61. 436 indexed citations breakdown →

19.

Plantinga, Theo S., Jaap Fransen, Nozomi Takahashi, et al.. (2010). Functional consequences of DECTIN-1early stop codon polymorphism Y238X in rheumatoid arthritis. Arthritis Research & Therapy. 12(1). R26–R26. 24 indexed citations

20.

Vries, Hilbert S. de, Theo S. Plantinga, J. Han van Krieken, et al.. (2009). Genetic Association Analysis of the Functional c.714T>G Polymorphism and Mucosal Expression of Dectin-1 in Inflammatory Bowel Disease. PLoS ONE. 4(11). e7818–e7818. 37 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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