Paula Henderikx

1.4k total citations
18 papers, 858 citations indexed

About

Paula Henderikx is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Paula Henderikx has authored 18 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Paula Henderikx's work include Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (8 papers) and T-cell and B-cell Immunology (4 papers). Paula Henderikx is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (8 papers) and T-cell and B-cell Immunology (4 papers). Paula Henderikx collaborates with scholars based in Netherlands, United States and Belgium. Paula Henderikx's co-authors include Hennie R. Hoogenboom, Anneke W. Reurs, Rob C. Roovers, Adriaan P. de Bruı̈ne, Simon E. Hufton, Jan‐Willem Arends, Hans J. de Haard, Hans de Haard, Jan‐Willem Arends and Elias Krambovitis and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Paula Henderikx

18 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Henderikx Netherlands 11 587 572 233 136 71 18 858
Bodo Brocks Germany 13 499 0.9× 428 0.7× 156 0.7× 147 1.1× 45 0.6× 21 828
Marie‐Alix Poul France 15 743 1.3× 632 1.1× 137 0.6× 261 1.9× 132 1.9× 28 1.1k
Jan‐Willem Arends Netherlands 8 571 1.0× 523 0.9× 146 0.6× 170 1.3× 99 1.4× 9 834
Titus Kretzschmar Germany 15 519 0.9× 456 0.8× 302 1.3× 66 0.5× 68 1.0× 20 826
Hennie R. Hoogenboom Netherlands 10 451 0.8× 413 0.7× 154 0.7× 126 0.9× 84 1.2× 11 672
John M. Jarvis United Kingdom 15 616 1.0× 453 0.8× 631 2.7× 77 0.6× 26 0.4× 17 1.1k
L. Robson United Kingdom 14 501 0.9× 543 0.9× 130 0.6× 212 1.6× 42 0.6× 16 786
Barbara J.M. Booth United States 14 437 0.7× 610 1.1× 126 0.5× 202 1.5× 20 0.3× 21 788
Anneke W. Reurs Netherlands 11 479 0.8× 441 0.8× 251 1.1× 245 1.8× 54 0.8× 16 793
Maureen O. Weeks United States 12 804 1.4× 196 0.3× 155 0.7× 326 2.4× 31 0.4× 16 1.2k

Countries citing papers authored by Paula Henderikx

Since Specialization
Citations

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

Fields of papers citing papers by Paula Henderikx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Henderikx

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

All Works

18 of 18 papers shown
1.
Desmet, Johan, Tim Pieters, Marnik Vuylsteke, et al.. (2021). Cell-penetrating Alphabody protein scaffolds for intracellular drug targeting. Science Advances. 7(13). 6 indexed citations
2.
Thiolloy, Sophie, Johan Desmet, Stefan Loverix, et al.. (2016). Abstract 3850: First-in-class cell-penetrating proteins targeting Mcl-1 induce tumor cell apoptosis and inhibition of tumor growth in vivo. Cancer Research. 76(14_Supplement). 3850–3850. 2 indexed citations
3.
Desmet, Johan, Kenneth Verstraete, Yehudi Bloch, et al.. (2014). Structural basis of IL-23 antagonism by an Alphabody protein scaffold. Nature Communications. 5(1). 5237–5237. 53 indexed citations
4.
Devy, Laetitia, Shafaat A. Rabbani, Ian Mackie, et al.. (2007). PEGylated DX-1000: Pharmacokinetics and Antineoplastic Activity of a Specific Plasmin Inhibitor. Neoplasia. 9(11). 927–937. 28 indexed citations
5.
Devy, Laetitia, Shafaat A. Rabbani, Daniel T. Dransfield, & Paula Henderikx. (2007). Antitumor efficacy of DX-2400, a potent and selective human antibody MMP-14 inhibitor discovered using phage display technology. 67. 5618–5618. 2 indexed citations
6.
Devy, Laetitia, David R. Buckler, Ricarda Finnern, et al.. (2006). 203 POSTER Antitumor efficacy of DX-2400, a potent and selective human antibody MMP-14 inhibitor discovered using phage display technology. European Journal of Cancer Supplements. 4(12). 63–64. 1 indexed citations
7.
Chames, Patrick, Hennie R. Hoogenboom, & Paula Henderikx. (2003). Selection of Antibodies Against Biotinylated Antigens. Humana Press eBooks. 178. 147–157. 23 indexed citations
8.
Henderikx, Paula, et al.. (2002). A Human Immunoglobulin G1 Antibody Originating from an in Vitro-Selected Fab Phage Antibody Binds Avidly to Tumor-Associated MUC1 and Is Efficiently Internalized. American Journal Of Pathology. 160(5). 1597–1608. 26 indexed citations
9.
Henderikx, Paula, Axel Mischo, Andreas Wadle, et al.. (1999). EB/RP gene family encodes tubulin binding proteins. International Journal of Cancer. 81(2). 275–284. 72 indexed citations
10.
Haard, Hans J. de, Anneke W. Reurs, Simon E. Hufton, et al.. (1999). A Large Non-immunized Human Fab Fragment Phage Library That Permits Rapid Isolation and Kinetic Analysis of High Affinity Antibodies. Journal of Biological Chemistry. 274(26). 18218–18230. 425 indexed citations
11.
Henderikx, Paula, et al.. (1999). A tandem repeat of MUC1 core protein induces a weak in vitro immune response in human B cells. Cancer Immunology Immunotherapy. 47(5). 249–256. 5 indexed citations
12.
Roovers, Rob C., Paula Henderikx, Wijnand Helfrich, et al.. (1998). High-affinity recombinant phage antibodies to the pan-carcinoma marker epithelial glycoprotein-2 for tumour targeting. British Journal of Cancer. 78(11). 1407–1416. 47 indexed citations
13.
Henderikx, Paula, et al.. (1998). Human single-chain Fv antibodies to MUC1 core peptide selected from phage display libraries recognize unique epitopes and predominantly bind adenocarcinoma.. PubMed. 58(19). 4324–32. 60 indexed citations
14.
Haard, Hans de, Paula Henderikx, & Hennie R. Hoogenboom. (1998). Creating and engineering human antibodies for immunotherapy. Advanced Drug Delivery Reviews. 31(1-2). 5–31. 53 indexed citations
15.
Chou, Yuan K., Paula Henderikx, Richard E. Jones, et al.. (1992). Human Cd8+ T Cell Clone Regulates Autologous Cd4+ Myelin Basic Protein Specific T Cells. Autoimmunity. 14(2). 111–119. 6 indexed citations
16.
Chou, Y. K., Paula Henderikx, M Vainiene, et al.. (1991). Specificity of human T cell clones reactive to immunodominant epitopes of myelin basic protein. Journal of Neuroscience Research. 28(2). 280–290. 38 indexed citations
17.
18.
Henderikx, Paula, et al.. (1991). Antibodies to myelin basic protein and measles virus in multiple sclerosis: Precursor frequency analysis of the antibody producing B cells. Journal of Neuroimmunology. 35. 204–204. 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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