Jan Paul Bebelman

513 total citations
18 papers, 390 citations indexed

About

Jan Paul Bebelman is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Paul Bebelman has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Paul Bebelman's work include Receptor Mechanisms and Signaling (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Chemokine receptors and signaling (4 papers). Jan Paul Bebelman is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Chemokine receptors and signaling (4 papers). Jan Paul Bebelman collaborates with scholars based in Netherlands, France and Germany. Jan Paul Bebelman's co-authors include Marco Siderius, Rudi J. Planta, Rob Leurs, Martine J. Smit, Saskia M. van der Vies, Cornelis P. Tensen, Els M.E. Verdegaal, Yongjun Qin, S. Osanto and Roel Willemze and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Analytical Biochemistry.

In The Last Decade

Jan Paul Bebelman

17 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Paul Bebelman Netherlands 10 285 74 49 47 47 18 390
Eric di Luccio South Korea 19 757 2.7× 64 0.9× 28 0.6× 33 0.7× 39 0.8× 54 953
Sara M. Connelly United States 10 324 1.1× 82 1.1× 18 0.4× 20 0.4× 46 1.0× 19 410
Y. Makino Japan 14 463 1.6× 36 0.5× 28 0.6× 41 0.9× 24 0.5× 39 669
Nanda G. Aduri Denmark 10 259 0.9× 61 0.8× 70 1.4× 16 0.3× 104 2.2× 16 450
Aram Elagöz Canada 8 307 1.1× 36 0.5× 37 0.8× 46 1.0× 68 1.4× 8 504
Cristina Carreño Spain 17 248 0.9× 69 0.9× 72 1.5× 14 0.3× 55 1.2× 30 624
Arun Kumar Somavarapu Denmark 13 288 1.0× 44 0.6× 27 0.6× 17 0.4× 43 0.9× 18 481
Patricia Gee United States 13 372 1.3× 98 1.3× 13 0.3× 43 0.9× 35 0.7× 17 555
B. Abadie France 11 288 1.0× 94 1.3× 29 0.6× 56 1.2× 64 1.4× 17 491

Countries citing papers authored by Jan Paul Bebelman

Since Specialization
Citations

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

Fields of papers citing papers by Jan Paul Bebelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Paul Bebelman. 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 Jan Paul Bebelman. The network helps show where Jan Paul Bebelman may publish in the future.

Co-authorship network of co-authors of Jan Paul Bebelman

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Paul Bebelman. A scholar is included among the top collaborators of Jan Paul Bebelman 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 Jan Paul Bebelman. Jan Paul Bebelman 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.
Crudden, Caitrin, Jan Paul Bebelman, Noureldine Youssef, et al.. (2025). Constitutive activity of an atypical chemokine receptor revealed by inverse agonistic nanobodies. Nature Communications. 16(1). 10828–10828.
2.
Bebelman, Maarten P., Jeffrey R. van Senten, Caitrin Crudden, et al.. (2023). Exosomal release of the virus-encoded chemokine receptor US28 contributes to chemokine scavenging. iScience. 26(8). 107412–107412. 7 indexed citations
3.
Bittenbinder, Mátyás A., Julien Slagboom, Jan Paul Bebelman, et al.. (2023). Monitoring Snake Venom-Induced Extracellular Matrix Degradation and Identifying Proteolytically Active Venom Toxins Using Fluorescently Labeled Substrates. Biology. 12(6). 765–765. 2 indexed citations
4.
Bebelman, Jan Paul, R. Jonker, Thierry Durroux, et al.. (2021). Differential Involvement of ACKR3 C-Tail in β-Arrestin Recruitment, Trafficking and Internalization. Cells. 10(3). 618–618. 23 indexed citations
5.
Sun, Shan‐Liang, Luc Roumen, Marta Arimont, et al.. (2018). Structure-based exploration and pharmacological evaluation of N-substituted piperidin-4-yl-methanamine CXCR4 chemokine receptor antagonists. European Journal of Medicinal Chemistry. 162. 631–649. 11 indexed citations
6.
Gómez‐Santacana, Xavier, Daniel Da Costa Pereira, Jan Paul Bebelman, et al.. (2018). Photoswitching the Efficacy of a Small‐Molecule Ligand for a Peptidergic GPCR: from Antagonism to Agonism. Angewandte Chemie. 130(36). 11782–11786. 7 indexed citations
7.
Gómez‐Santacana, Xavier, Daniel Da Costa Pereira, Jan Paul Bebelman, et al.. (2018). Photoswitching the Efficacy of a Small‐Molecule Ligand for a Peptidergic GPCR: from Antagonism to Agonism. Angewandte Chemie International Edition. 57(36). 11608–11612. 33 indexed citations
8.
Siderius, Marco, Anitha Shanmugham, P. England, et al.. (2016). Surface plasmon resonance biosensor assay for the analysis of small-molecule inhibitor binding to human and parasitic phosphodiesterases. Analytical Biochemistry. 503. 41–49. 6 indexed citations
9.
Qin, Yongjun, Els M.E. Verdegaal, Marco Siderius, et al.. (2010). Quantitative expression profiling of G‐protein‐coupled receptors (GPCRs) in metastatic melanoma: the constitutively active orphan GPCR GPR18 as novel drug target. Pigment Cell & Melanoma Research. 24(1). 207–218. 100 indexed citations
10.
Bebelman, Jan Paul, et al.. (2007). Cdc37p is involved in osmoadaptation and controls high osmolarity-induced cross-talk via the MAP kinase Kss1p. FEMS Yeast Research. 7(6). 796–807. 9 indexed citations
11.
12.
Gonçalves, Paula, Gerard Griffioen, Jan Paul Bebelman, & Rudi J. Planta. (1997). Signalling pathways leading to transcriptional regulation of genes involved in the activation of glycolysis in yeast. Molecular Microbiology. 25(3). 483–493. 32 indexed citations
13.
Pals, Gerard, J. Défize, Jan Paul Bebelman, et al.. (1995). Transcription Regulation of Human and Porcine Pepsinogen A. Advances in experimental medicine and biology. 362. 67–75. 3 indexed citations
14.
Bebelman, Jan Paul, Gerard Pals, F. Arwert, et al.. (1991). Analysis of the Promoter of a Human Pepsinogen a Gene. Advances in experimental medicine and biology. 306. 87–90. 4 indexed citations
15.
Zelle, B., Jan Paul Bebelman, Mariëtte J.V. Hoffer, et al.. (1989). Nucleotide sequence comparison of five human pepsinogen A (PGA) genes: Evolution of the PGA multigene family. Genomics. 4(3). 232–239. 36 indexed citations
16.
Bebelman, Jan Paul, B. Zelle, Ruud A. Bank, et al.. (1989). Family and population studies on the human pepsinogen A multigene family. Human Genetics. 82(2). 142–146. 12 indexed citations
17.
Zelle, B., Jan Paul Bebelman, Jan C. Pronk, et al.. (1988). Cloning and sequencing of Rhesus monkey pepsinogen A cDNA. Gene. 65(2). 179–185. 18 indexed citations
18.
Zelle, B., Peter C. Groot, Jan Paul Bebelman, et al.. (1988). Genomic structure and evolution of the human pepsinogen A multigene family. Human Genetics. 78(1). 79–82. 30 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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