P. Anton van der Merwe

15.8k total citations · 2 hit papers
141 papers, 12.0k citations indexed

About

P. Anton van der Merwe is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, P. Anton van der Merwe has authored 141 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Immunology, 49 papers in Radiology, Nuclear Medicine and Imaging and 48 papers in Molecular Biology. Recurrent topics in P. Anton van der Merwe's work include T-cell and B-cell Immunology (76 papers), Immune Cell Function and Interaction (61 papers) and Monoclonal and Polyclonal Antibodies Research (49 papers). P. Anton van der Merwe is often cited by papers focused on T-cell and B-cell Immunology (76 papers), Immune Cell Function and Interaction (61 papers) and Monoclonal and Polyclonal Antibodies Research (49 papers). P. Anton van der Merwe collaborates with scholars based in United Kingdom, United States and South Africa. P. Anton van der Merwe's co-authors include Simon J. Davis, Omer Dushek, A. Neil Barclay, E. Yvonne Jones, Marion H. Brown, David I. Stuart, E Davies, Kaushik Choudhuri, Michael L. Dustin and Benjamin E. Willcox and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

P. Anton van der Merwe

139 papers receiving 11.8k 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.

The Interaction Properties of Costimulatory Molecules Revisited

2002 522 citations David I. Stuart, P. Anton van der Merwe et al. Immunity profile →
Effects of common mutations in the SARS-CoV-2 Spike RBD and its ligand, the human ACE2 receptor on binding affinity and kinetics

2021 240 citations Michael I. Barton, Mikhail A. Kutuzov et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Anton van der Merwe United Kingdom	61	7.9k	3.6k	2.3k	2.2k	1.2k	141	12.0k
Simon J. Davis United Kingdom	50	6.1k 0.8×	3.3k 0.9×	2.2k 1.0×	1.7k 0.8×	785 0.7×	158	10.2k
A. Neil Barclay United Kingdom	68	9.7k 1.2×	5.5k 1.5×	1.7k 0.8×	2.5k 1.1×	1.6k 1.4×	157	16.3k
Facundo D. Batista United Kingdom	49	6.4k 0.8×	2.6k 0.7×	1.2k 0.5×	1.3k 0.6×	997 0.9×	105	9.2k
Andrew C. Chan United States	54	10.2k 1.3×	6.4k 1.8×	2.7k 1.2×	2.5k 1.2×	1.2k 1.0×	113	16.2k
Hannes Stockinger Austria	50	3.9k 0.5×	3.8k 1.1×	1.5k 0.6×	880 0.4×	1.3k 1.1×	191	9.2k
Jannie Borst Netherlands	76	10.9k 1.4×	6.0k 1.7×	4.6k 2.0×	1.8k 0.9×	883 0.8×	232	18.2k
Michael Reth Germany	73	10.9k 1.4×	7.5k 2.1×	1.8k 0.8×	4.1k 1.9×	1.0k 0.9×	219	18.1k
Jean Davoust France	52	11.8k 1.5×	5.0k 1.4×	2.5k 1.1×	744 0.3×	744 0.6×	111	16.7k
Brian D. Evavold United States	41	5.4k 0.7×	1.4k 0.4×	1.4k 0.6×	1.1k 0.5×	540 0.5×	122	7.4k
Shoshana Levy United States	60	4.3k 0.5×	3.9k 1.1×	1.3k 0.6×	2.3k 1.1×	2.2k 1.9×	137	11.3k

Countries citing papers authored by P. Anton van der Merwe

Since Specialization

Citations

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

Fields of papers citing papers by P. Anton van der Merwe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Anton van der Merwe. 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 P. Anton van der Merwe. The network helps show where P. Anton van der Merwe may publish in the future.

Co-authorship network of co-authors of P. Anton van der Merwe

This figure shows the co-authorship network connecting the top 25 collaborators of P. Anton van der Merwe. A scholar is included among the top collaborators of P. Anton van der Merwe 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 P. Anton van der Merwe. P. Anton van der Merwe 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

Kutuzov, Mikhail A., et al.. (2025). Murine T-cell receptor OT-I exhibits imperfect discrimination between foreign and self-antigens. The EMBO Journal. 45(2). 394–416.

Kutuzov, Mikhail A., et al.. (2024). Regulation of temporal cytokine production by co-stimulation receptors in TCR-T cells is lost in CAR-T cells. PubMed. 4(1). ltae004–ltae004. 2 indexed citations

Li, Fenglei, Sobhan Roy, Keith G. Gould, et al.. (2024). Ligand-induced segregation from large cell-surface phosphatases is a critical step in γδ TCR triggering. Cell Reports. 43(9). 114761–114761. 5 indexed citations

Salzer, Benjamin, et al.. (2023). Inefficient exploitation of accessory receptors reduces the sensitivity of chimeric antigen receptors. Proceedings of the National Academy of Sciences. 120(2). e2216352120–e2216352120. 31 indexed citations

Różycki, Bartosz, Mikhail A. Kutuzov, Laurent Limozin, et al.. (2022). Mechanical forces impair antigen discrimination by reducing differences in T‐cell receptor/peptide–MHC off‐rates. The EMBO Journal. 42(7). e111841–e111841. 30 indexed citations

Barton, Michael I., et al.. (2019). A generic cell surface ligand system for studying cell–cell recognition. PLoS Biology. 17(12). e3000549–e3000549. 8 indexed citations

Limozin, Laurent, et al.. (2019). TCR–pMHC kinetics under force in a cell-free system show no intrinsic catch bond, but a minimal encounter duration before binding. Proceedings of the National Academy of Sciences. 116(34). 16943–16948. 59 indexed citations

Lever, Melissa, Philipp Krüger, John Nguyen, et al.. (2016). Architecture of a minimal signaling pathway explains the T-cell response to a 1 million-fold variation in antigen affinity and dose. Proceedings of the National Academy of Sciences. 113(43). E6630–E6638. 56 indexed citations

Wet, Ben de, et al.. (2016). Multisite Phosphorylation Modulates the T Cell Receptor ζ-Chain Potency but not the Switchlike Response. Biophysical Journal. 110(8). 1896–1906. 17 indexed citations

10.

Cordoba, Shaun‐Paul, et al.. (2013). Systems Model of T Cell Receptor Proximal Signaling Reveals Emergent Ultrasensitivity. PLoS Computational Biology. 9(3). e1003004–e1003004. 42 indexed citations

11.

Dushek, Omer, Jesse Goyette, & P. Anton van der Merwe. (2012). Non‐catalytic tyrosine‐phosphorylated receptors. Immunological Reviews. 250(1). 258–276. 60 indexed citations

12.

Harkiolaki, Maria, P. Svendsen, Jon Waarst Gregersen, et al.. (2009). T Cell-Mediated Autoimmune Disease Due to Low-Affinity Crossreactivity to Common Microbial Peptides (DOI:10.1016/j.immuni.2009.01.009). Immunity. 30. 610–610. 5 indexed citations

13.

Palmowski, Michael J., Mathew Parker, Kaushik Choudhuri, et al.. (2009). A Single-Chain H-2Db Molecule Presenting an Influenza Virus Nucleoprotein Epitope Shows Enhanced Ability at Stimulating CD8+ T Cell Responses In Vivo. The Journal of Immunology. 182(8). 4565–4571. 16 indexed citations

14.

McCarthy, Corinna, Dawn Shepherd, Sebastian J. Fleire, et al.. (2007). The length of lipids bound to human CD1d molecules modulates the affinity of NKT cell TCR and the threshold of NKT cell activation. The Journal of Experimental Medicine. 204(5). 1131–1144. 184 indexed citations

15.

Wild, Martin K., et al.. (2001). Affinity, Kinetics, and Thermodynamics of E-selectin Binding to E-selectin Ligand-1. Journal of Biological Chemistry. 276(34). 31602–31612. 75 indexed citations

16.

Malaviya, Ravi, et al.. (1999). The mast cell tumor necrosis factor α response to FimH-expressingEscherichia coliis mediated by the glycosylphosphatidylinositol-anchored molecule CD48. Proceedings of the National Academy of Sciences. 96(14). 8110–8115. 193 indexed citations

17.

Dustin, Michael L., David E. Golan, De‐Min Zhu, et al.. (1997). Low Affinity Interaction of Human or Rat T Cell Adhesion Molecule CD2 with Its Ligand Aligns Adhering Membranes to Achieve High Physiological Affinity. Journal of Biological Chemistry. 272(49). 30889–30898. 149 indexed citations

18.

Vinson, Mary, et al.. (1996). Characterization of the Sialic Acid-binding Site in Sialoadhesin by Site-directed Mutagenesis. Journal of Biological Chemistry. 271(16). 9267–9272. 113 indexed citations

19.

Davies, E, A. Neil Barclay, Susan Daenke, et al.. (1995). Ligand Binding by the Immunoglobulin Superfamily Recognition Molecule CD2 Is Glycosylation-independent. Journal of Biological Chemistry. 270(1). 369–375. 50 indexed citations

20.

Kieffer, Bruno, Paul C. Driscoll, Iain D. Campbell, et al.. (1994). Three-Dimensional Solution Structure of the Extracellular Region of the Complement Regulatory Protein CD59, a New Cell-Surface Protein Domain Related to Snake Venom Neurotoxins. Biochemistry. 33(15). 4471–4482. 100 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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