A. Allart Stoop

654 total citations
17 papers, 553 citations indexed

About

A. Allart Stoop is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, A. Allart Stoop has authored 17 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in A. Allart Stoop's work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Immune Response and Inflammation (4 papers). A. Allart Stoop is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Immune Response and Inflammation (4 papers). A. Allart Stoop collaborates with scholars based in United Kingdom, Netherlands and United States. A. Allart Stoop's co-authors include Hans Pannekoek, Charles S. Craik, Marc Feldmann, Florea Lupu, Marie Davies, Jonathan L. E. Dean, Richard Williams, Eric Eldering, Fiona E. McCann and Dany Perocheau and has published in prestigious journals such as The EMBO Journal, Nature Biotechnology and PLoS ONE.

In The Last Decade

A. Allart Stoop

17 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Allart Stoop United Kingdom 12 217 203 154 143 81 17 553
Birgitte Rønø Denmark 14 176 0.8× 148 0.7× 73 0.5× 90 0.6× 34 0.4× 29 433
Enzo Cocuzzi United States 11 157 0.7× 206 1.0× 85 0.6× 87 0.6× 26 0.3× 17 517
M L Banquerigo United States 8 240 1.1× 54 0.3× 228 1.5× 203 1.4× 89 1.1× 10 619
Kunio Matsuta Japan 13 283 1.3× 101 0.5× 49 0.3× 237 1.7× 67 0.8× 18 695
Rick D. Holly United States 7 163 0.8× 49 0.2× 165 1.1× 260 1.8× 72 0.9× 10 648
Lenka Kubiczková Czechia 11 479 2.2× 159 0.8× 193 1.3× 107 0.7× 17 0.2× 17 782
Hidetoshi Matsuda Japan 5 182 0.8× 324 1.6× 93 0.6× 118 0.8× 20 0.2× 5 584
Asuka Oda Japan 13 353 1.6× 142 0.7× 281 1.8× 120 0.8× 20 0.2× 36 693
Barbara P. Schick United States 18 492 2.3× 83 0.4× 237 1.5× 207 1.4× 29 0.4× 48 987

Countries citing papers authored by A. Allart Stoop

Since Specialization
Citations

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

Fields of papers citing papers by A. Allart Stoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Allart Stoop. 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 A. Allart Stoop. The network helps show where A. Allart Stoop may publish in the future.

Co-authorship network of co-authors of A. Allart Stoop

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

All Works

17 of 17 papers shown
1.
Vantourout, Pierre, Thomas S. Hayday, Adam Laing, et al.. (2023). Innate TCRβ-chain engagement drives human T cells toward distinct memory-like effector phenotypes with immunotherapeutic potentials. Science Advances. 9(49). eadj6174–eadj6174. 3 indexed citations
2.
Donahue, Renee N., Madan Katragadda, Wei Huang, et al.. (2023). A T cell receptor β chain–directed antibody fusion molecule activates and expands subsets of T cells to promote antitumor activity. Science Translational Medicine. 15(724). eadi0258–eadi0258. 10 indexed citations
3.
Sanderson, Andrew, et al.. (2015). Pharmacokinetic and Pharmacodynamic Characterisation of an Anti-Mouse TNF Receptor 1 Domain Antibody Formatted for In Vivo Half-Life Extension. PLoS ONE. 10(9). e0137065–e0137065. 13 indexed citations
4.
Ersek, Adel, et al.. (2015). Selective inhibition of TNFR1 reduces osteoclast numbers and is differentiated from anti-TNF in a LPS-driven model of inflammatory bone loss. Biochemical and Biophysical Research Communications. 464(4). 1145–1150. 19 indexed citations
5.
Fairclough, Lucy C., A. Allart Stoop, Ola H. Negm, et al.. (2015). Tumour necrosis factor receptor I blockade shows that TNF‐dependent and TNF‐independent mechanisms synergise in TNF receptor associated periodic syndrome. European Journal of Immunology. 45(10). 2937–2944. 6 indexed citations
6.
Schmidt, Emily M., Fiona E. McCann, Marc Feldmann, et al.. (2014). TNFR2 increases the sensitivity of ligand-induced activation of the p38 MAPK and NF-κB pathways and signals TRAF2 protein degradation in macrophages. Cellular Signalling. 26(4). 683–690. 31 indexed citations
7.
McCann, Fiona E., Dany Perocheau, Katrina Blazek, et al.. (2014). Selective Tumor Necrosis Factor Receptor I Blockade Is Antiinflammatory and Reveals Immunoregulatory Role of Tumor Necrosis Factor Receptor II in Collagen‐Induced Arthritis. Arthritis & Rheumatology. 66(10). 2728–2738. 97 indexed citations
8.
Schmidt, Emily M., Marie Davies, Prafull Mistry, et al.. (2013). Selective Blockade of Tumor Necrosis Factor Receptor I Inhibits Proinflammatory Cytokine and Chemokine Production in Human Rheumatoid Arthritis Synovial Membrane Cell Cultures. Arthritis & Rheumatism. 65(9). 2262–2273. 32 indexed citations
9.
Stoop, A. Allart, et al.. (2010). Analysis of an engineered plasma kallikrein inhibitor and its effect on contact activation. Biological Chemistry. 391(4). 425–33. 1 indexed citations
10.
Lund, Leif R., A. Allart Stoop, Michael Ploug, et al.. (2006). Plasminogen activation independent of uPA and tPA maintains wound healing in gene‐deficient mice. The EMBO Journal. 25(12). 2686–2697. 105 indexed citations
11.
Stoop, A. Allart & Charles S. Craik. (2003). Engineering of a macromolecular scaffold to develop specific protease inhibitors. Nature Biotechnology. 21(9). 1063–1068. 50 indexed citations
12.
Stoop, A. Allart, Eric Eldering, Timothy R. Dafforn, Randy J. Read, & Hans Pannekoek. (2001). Different structural requirements for plasminogen activator inhibitor 1 (PAI-1) during latency transition and proteinase inhibition as evidenced by phage-displayed hypermutated PAI-1 libraries. Journal of Molecular Biology. 305(4). 773–783. 33 indexed citations
13.
Stoop, A. Allart, Laurent Jespers, Ignace Lasters, Eric Eldering, & Hans Pannekoek. (2000). High-density mutagenesis by combined DNA shuffling and phage display to assign essential amino acid residues in protein-protein interactions: application to study structure-function of plasminogen activation inhibitor 1 (PAI-I). Journal of Molecular Biology. 301(5). 1135–1147. 41 indexed citations
14.
Stoop, A. Allart, Florea Lupu, & Hans Pannekoek. (2000). Colocalization of Thrombin, PAI-1, and Vitronectin in the Atherosclerotic Vessel Wall. Arteriosclerosis Thrombosis and Vascular Biology. 20(4). 1143–1149. 66 indexed citations
15.
16.
Stoop, A. Allart, Marja van Meijer, Anton J.G. Horrevoets, & Hans Pannekoek. (1997). Molecular Advances in Plasminogen Activator Inhibitor 1 Interaction with Thrombin and Tissue-Type Plasminogen Activator. Trends in Cardiovascular Medicine. 7(2). 47–51. 3 indexed citations
17.
Meijer, Marja van, et al.. (1997). The Composition of Complexes between Plasminogen Activator Inhibitor 1, Vitronectin and either Thrombin or Tissue-type Plasminogen Activator. Thrombosis and Haemostasis. 77(3). 516–521. 21 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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