Wendy J.M. Mackus

1.1k total citations
8 papers, 750 citations indexed

About

Wendy J.M. Mackus is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Immunology. According to data from OpenAlex, Wendy J.M. Mackus has authored 8 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Wendy J.M. Mackus's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and T-cell and B-cell Immunology (2 papers). Wendy J.M. Mackus is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and T-cell and B-cell Immunology (2 papers). Wendy J.M. Mackus collaborates with scholars based in Netherlands, United Kingdom and United States. Wendy J.M. Mackus's co-authors include Paul W.H.I. Parren, Jan G. J. van de Winkel, Martin J. Glennie, Tom van Meerten, Tom Vink, Stephen A. Beers, Saskia B. Ebeling, Jerry W. Slootstra, Jessica L. Teeling and Ruth R. French and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Wendy J.M. Mackus

8 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wendy J.M. Mackus Netherlands 8 366 365 352 315 216 8 750
Heather Horne United States 11 198 0.5× 403 1.1× 389 1.1× 224 0.7× 355 1.6× 31 795
Michael Pearson United States 4 361 1.0× 518 1.4× 302 0.9× 536 1.7× 204 0.9× 8 860
Daniel Santos United States 14 511 1.4× 462 1.3× 190 0.5× 556 1.8× 206 1.0× 47 996
Emanuela Carlotti United Kingdom 10 171 0.5× 326 0.9× 115 0.3× 164 0.5× 230 1.1× 20 579
Sandra V. Dixon United Kingdom 5 394 1.1× 145 0.4× 378 1.1× 190 0.6× 221 1.0× 5 672
Laurens P. Kil Netherlands 11 386 1.1× 271 0.7× 93 0.3× 456 1.4× 164 0.8× 14 811
Lesley‐Ann Sutton Sweden 13 259 0.7× 363 1.0× 70 0.2× 444 1.4× 113 0.5× 29 672
Nancy Pennell Canada 13 143 0.4× 260 0.7× 101 0.3× 132 0.4× 234 1.1× 31 547
Klaus Willenbrock Germany 16 291 0.8× 558 1.5× 57 0.2× 198 0.6× 465 2.2× 23 874
Daniela Gottardi Italy 11 405 1.1× 379 1.0× 72 0.2× 605 1.9× 193 0.9× 19 1.0k

Countries citing papers authored by Wendy J.M. Mackus

Since Specialization
Citations

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

Fields of papers citing papers by Wendy J.M. Mackus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendy J.M. Mackus. 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 Wendy J.M. Mackus. The network helps show where Wendy J.M. Mackus may publish in the future.

Co-authorship network of co-authors of Wendy J.M. Mackus

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

All Works

8 of 8 papers shown
1.
Engelberts, Patrick, Marleen Voorhorst, Janine Schuurman, et al.. (2016). Type I CD20 Antibodies Recruit the B Cell Receptor for Complement-Dependent Lysis of Malignant B Cells. The Journal of Immunology. 197(12). 4829–4837. 32 indexed citations
2.
Beurskens, Frank J., Margaret A. Lindorfer, Mohammed Farooqui, et al.. (2012). Exhaustion of Cytotoxic Effector Systems May Limit Monoclonal Antibody-Based Immunotherapy in Cancer Patients. The Journal of Immunology. 188(7). 3532–3541. 96 indexed citations
3.
Craigen, Jenny, Wendy J.M. Mackus, Sam R. Miller, et al.. (2009). Ofatumumab, a Human Mab Targeting a Membrane-Proximal Small-Loop Epitope On CD20, Induces Potent NK Cell-Mediated ADCC.. Blood. 114(22). 1725–1725. 20 indexed citations
4.
Cillessen, Saskia A.G.M., Wendy J.M. Mackus, Kitty C. M. Castricum, et al.. (2007). Chemotherapy-Refractory Diffuse Large B-Cell Lymphomas (DLBCL) Are Effectively Killed by Ofatumumab-Induced Complement-Mediated Cytoxicity.. Blood. 110(11). 2346–2346. 11 indexed citations
5.
Bleeker, Wim K., Martin E. Munk, Wendy J.M. Mackus, et al.. (2007). Estimation of dose requirements for sustainedin vivoactivity of a therapeutic human anti‐CD20 antibody. British Journal of Haematology. 140(3). 303–312. 70 indexed citations
6.
Teeling, Jessica L., Wendy J.M. Mackus, Stephen A. Beers, et al.. (2006). The Biological Activity of Human CD20 Monoclonal Antibodies Is Linked to Unique Epitopes on CD20. The Journal of Immunology. 177(1). 362–371. 466 indexed citations
7.
Oirschot, Brigitte A. van, Angela van Diepen, Wendy J.M. Mackus, et al.. (1999). Cyclin D3 Regulates Proliferation and Apoptosis of Leukemic T Cell Lines. Journal of Biological Chemistry. 274(49). 34676–34682. 41 indexed citations
8.
Frank, Dale, Sergey Kalachikov, Alan Cleary, et al.. (1998). A single gene for human TRAF-3 at chromosome 14q32.3 encodes a variety of mRNA species by alternative polyadenylation, mRNA splicing and transcription initiation. Molecular Immunology. 35(18). 1189–1206. 14 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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