Jill Claassens

802 total citations
23 papers, 602 citations indexed

About

Jill Claassens is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Jill Claassens has authored 23 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Jill Claassens's work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (7 papers) and Muscle Physiology and Disorders (3 papers). Jill Claassens is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (7 papers) and Muscle Physiology and Disorders (3 papers). Jill Claassens collaborates with scholars based in Netherlands, United States and United Kingdom. Jill Claassens's co-authors include J. Sjef Verbeek, Jos van der Kaa, Cor Breukel, Mirjam Kool, Johan Garssen, Henk Van Loveren, Andries S. Koster, Frans P. Nijkamp, Péter Boross and Frank A. Redegeld and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Gastroenterology.

In The Last Decade

Jill Claassens

22 papers receiving 599 citations

Peers

Jill Claassens
Roelof Flierman Netherlands
M Wakelin United States
R G Oldroyd United Kingdom
Christine M. Coquery United States
Ryan Schlimgen United States
David F. Carney United States
Raymond W. Wilson United States
Krista Johnson United States
Roelof Flierman Netherlands
Jill Claassens
Citations per year, relative to Jill Claassens Jill Claassens (= 1×) peers Roelof Flierman

Countries citing papers authored by Jill Claassens

Since Specialization
Citations

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

Fields of papers citing papers by Jill Claassens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill Claassens. 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 Jill Claassens. The network helps show where Jill Claassens may publish in the future.

Co-authorship network of co-authors of Jill Claassens

This figure shows the co-authorship network connecting the top 25 collaborators of Jill Claassens. A scholar is included among the top collaborators of Jill Claassens 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 Jill Claassens. Jill Claassens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schenke, Maarten, Rob A. Voskuyl, Cor Breukel, et al.. (2024). Spontaneous spreading depolarizations originate subcortically in a novel mouse model of familial hemiplegic migraine type 2. Neurobiology of Disease. 202. 106714–106714. 3 indexed citations
2.
Brouwers, Conny, Margot M. Linssen, Marcel Camps, et al.. (2020). Immunogenicity of rat-neu+ mouse mammary tumours determines the T cell-dependent therapeutic efficacy of anti-neu monoclonal antibody treatment. Scientific Reports. 10(1). 3933–3933. 5 indexed citations
3.
Breukel, Cor, Jill Claassens, Conny Brouwers, et al.. (2018). High FcγR Expression on Intratumoral Macrophages Enhances Tumor-Targeting Antibody Therapy. The Journal of Immunology. 201(12). 3741–3749. 7 indexed citations
4.
Veltrop, Marcel H. A. M., Laura Van de Vliet, Margriet Hulsker, et al.. (2018). A dystrophic Duchenne mouse model for testing human antisense oligonucleotides. PLoS ONE. 13(2). e0193289–e0193289. 46 indexed citations
5.
Breukel, Cor, Remco Visser, O. J. H. M. Verhagen, et al.. (2018). FcγR interaction is not required for effective anti‐PD‐L1 immunotherapy but can add additional benefit depending on the tumor model. International Journal of Cancer. 144(2). 345–354. 13 indexed citations
6.
Goh, Yun Shan, et al.. (2018). The essential role of complement in antibody‐mediated resistance to Salmonella. Immunology. 156(1). 69–73. 10 indexed citations
7.
Breukel, Cor, Jill Claassens, Conny Brouwers, et al.. (2018). FcγRI expression on macrophages is required for antibody-mediated tumor protection by cytomegalovirus-based vaccines. Oncotarget. 9(50). 29392–29402. 9 indexed citations
8.
Bloemendaal, Felicia M., Alon D. Levin, Manon E. Wildenberg, et al.. (2017). Anti–Tumor Necrosis Factor With a Glyco-Engineered Fc-Region Has Increased Efficacy in Mice With Colitis. Gastroenterology. 153(5). 1351–1362.e4. 27 indexed citations
9.
Wroblewska, Aleksandra, Eszter Herczenik, Ivan Peyron, et al.. (2016). Enhanced uptake of blood coagulation factor VIII containing immune complexes by antigen presenting cells. Journal of Thrombosis and Haemostasis. 15(2). 329–340. 13 indexed citations
10.
Veltrop, Marcel H. A. M., Margriet Hulsker, Jill Claassens, et al.. (2016). A dystrophic Duchenne mouse model for testing human antisense oligonucleotides. Neuromuscular Disorders. 26. S128–S129. 2 indexed citations
11.
Su, Dan, Cor Breukel, Laurent Detalle, et al.. (2015). Involvement of Fcα/μ Receptor in IgM Anti-Platelet, but Not Anti–Red Blood Cell Autoantibody Pathogenicity in Mice. The Journal of Immunology. 195(9). 4171–4175. 1 indexed citations
12.
Veltrop, Marcel H. A. M., Jos van der Kaa, Jill Claassens, et al.. (2013). Generation of Embryonic Stem Cells and Mice for Duchenne Research. PLoS Currents. 5. 12 indexed citations
13.
Otten, Marielle A., Tom W.L. Groeneveld, Roelof Flierman, et al.. (2009). Both Complement and IgG Fc Receptors Are Required for Development of Attenuated Antiglomerular Basement Membrane Nephritis in Mice. The Journal of Immunology. 183(6). 3980–3988. 37 indexed citations
14.
Boross, Péter, Cor Breukel, Pieter Fokko van Loo, et al.. (2009). Highly B lymphocyte‐specific tamoxifen inducible transgene expression of CreERT2 by using the LC‐1 locus BAC vector. genesis. 47(11). 729–735. 10 indexed citations
15.
Boross, Péter, P.L. van Lent, Javier Martín-Ramírez, et al.. (2008). Destructive Arthritis in the Absence of Both FcγRI and FcγRIII. The Journal of Immunology. 180(7). 5083–5091. 37 indexed citations
16.
Skokowa, Julia, Syed R. Ali, Varsha Kumar, et al.. (2005). Macrophages Induce the Inflammatory Response in the Pulmonary Arthus Reaction through Gαi2 Activation That Controls C5aR and Fc Receptor Cooperation. The Journal of Immunology. 174(5). 3041–3050. 94 indexed citations
17.
Tarzi, Ruth M., Kevin Davies, Jill Claassens, et al.. (2003). Both Fcγ Receptor I and Fcγ Receptor III Mediate Disease in Accelerated Nephrotoxic Nephritis. American Journal Of Pathology. 162(5). 1677–1683. 30 indexed citations
18.
Redegeld, Frank A., M. Heijden, Mirjam Kool, et al.. (2002). Immunoglobulin-free light chains elicit immediate hypersensitivity-like responses. Nature Medicine. 8(7). 694–701. 139 indexed citations
19.
Claassens, Jill. (1959). The adhesion-cohesion, static friction and macro-structure of certain butters. II. Factors affecting the values recorded with the hesion-balance. 2(1). 89–118. 4 indexed citations
20.
Claassens, Jill. (1959). The adhesion-cohesion, static friction and macro-structure of certain butters. V. Friction and hesion measurements on the same test surfaces. 2(4). 551–571. 1 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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