Jan P.G. Klomp

1.2k total citations
19 papers, 882 citations indexed

About

Jan P.G. Klomp is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan P.G. Klomp has authored 19 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan P.G. Klomp's work include Receptor Mechanisms and Signaling (6 papers), Computational Drug Discovery Methods (4 papers) and Estrogen and related hormone effects (4 papers). Jan P.G. Klomp is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Computational Drug Discovery Methods (4 papers) and Estrogen and related hormone effects (4 papers). Jan P.G. Klomp collaborates with scholars based in Netherlands, United States and Belgium. Jan P.G. Klomp's co-authors include Carl G. Figdor, Anje A. te Velde, Benito Yard, J E de Vries, Jacob de Vlieg, Marijn P. A. Sanders, Stefan Verhoeven, Bas Vroling, Luc Roumen and Chris de Graaf and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and FEBS Letters.

In The Last Decade

Jan P.G. Klomp

19 papers receiving 856 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 P.G. Klomp Netherlands 14 422 296 205 116 103 19 882
Andreas D. Christ Switzerland 18 268 0.6× 339 1.1× 57 0.3× 50 0.4× 64 0.6× 31 900
Julia Heinrich United States 16 664 1.6× 297 1.0× 17 0.1× 124 1.1× 258 2.5× 32 1.1k
Lars‐Ole Gerlach Denmark 11 478 1.1× 235 0.8× 53 0.3× 191 1.6× 100 1.0× 14 1.0k
Melinda Halász Ireland 17 724 1.7× 321 1.1× 101 0.5× 25 0.2× 11 0.1× 41 1.3k
Bridget Stensgard United States 14 1.6k 3.7× 366 1.2× 145 0.7× 26 0.2× 38 0.4× 17 1.8k
Robert J. Lynch United States 20 394 0.9× 57 0.2× 49 0.2× 53 0.5× 137 1.3× 38 1.2k
Jeffrey S. Culp United States 13 676 1.6× 117 0.4× 78 0.4× 82 0.7× 86 0.8× 15 1.3k
Heming Xing United States 17 1.1k 2.7× 99 0.3× 52 0.3× 60 0.5× 20 0.2× 23 1.4k
E. A. Sausville United States 17 448 1.1× 189 0.6× 17 0.1× 244 2.1× 75 0.7× 45 1.1k
Lorraine Malkowitz United States 17 554 1.3× 593 2.0× 45 0.2× 219 1.9× 141 1.4× 22 1.5k

Countries citing papers authored by Jan P.G. Klomp

Since Specialization
Citations

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

Fields of papers citing papers by Jan P.G. Klomp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan P.G. Klomp. 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 P.G. Klomp. The network helps show where Jan P.G. Klomp may publish in the future.

Co-authorship network of co-authors of Jan P.G. Klomp

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

All Works

19 of 19 papers shown
1.
Zhang, Qing, Nicholas Murgolo, Wynand Alkema, et al.. (2012). Selective Constraint: A Hallmark of Genes Successfully Targeted for Pharmaceutical Development. 2(4). 184–193. 1 indexed citations
2.
Sanders, Marijn P. A., Arménio Jorge Moura Barbosa, Barbara Zarzycka, et al.. (2012). Comparative Analysis of Pharmacophore Screening Tools. Journal of Chemical Information and Modeling. 52(6). 1607–1620. 72 indexed citations
3.
Sanders, Marijn P. A., Luc Roumen, Eelke van der Horst, et al.. (2012). A Prospective Cross-Screening Study on G-Protein-Coupled Receptors: Lessons Learned in Virtual Compound Library Design. Journal of Medicinal Chemistry. 55(11). 5311–5325. 26 indexed citations
4.
Sanders, Marijn P. A., Wilco Fleuren, Stefan Verhoeven, et al.. (2011). ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs. BMC Bioinformatics. 12(1). 332–332. 21 indexed citations
5.
Sanders, Marijn P. A., Stefan Verhoeven, Chris de Graaf, et al.. (2011). Snooker: A Structure-Based Pharmacophore Generation Tool Applied to Class A GPCRs. Journal of Chemical Information and Modeling. 51(9). 2277–2292. 42 indexed citations
6.
Sanders, Marijn P. A., Ross McGuire, Luc Roumen, et al.. (2011). From the protein's perspective: the benefits and challenges of protein structure-based pharmacophore modeling. MedChemComm. 3(1). 28–38. 76 indexed citations
7.
Stelt, Mario van der, Jean E. Cottney, Jan P.G. Klomp, et al.. (2011). Discovery and Optimization of 1-(4-(Pyridin-2-yl)benzyl)imidazolidine-2,4-dione Derivatives As a Novel Class of Selective Cannabinoid CB2 Receptor Agonists. Journal of Medicinal Chemistry. 54(20). 7350–7362. 29 indexed citations
8.
Roumen, Luc, Marijn P. A. Sanders, Bas Vroling, et al.. (2011). In Silico Veritas: The Pitfalls and Challenges of Predicting GPCR-Ligand Interactions. Pharmaceuticals. 4(9). 1196–1215. 16 indexed citations
9.
Dassen, H., Chamindie Punyadeera, Bert Delvoux, et al.. (2010). Olfactomedin-4 Regulation by Estrogen in the Human Endometrium Requires Epidermal Growth Factor Signaling. American Journal Of Pathology. 177(5). 2495–2508. 23 indexed citations
10.
Vroling, Bas, Mark A Sanders, Coos Baakman, et al.. (2010). GPCRDB: information system for G protein-coupled receptors. Nucleic Acids Research. 39(Database). D309–D319. 113 indexed citations
11.
Dassen, H., Chamindie Punyadeera, Rick Kamps, et al.. (2007). Progesterone regulation of implantation-related genes: new insights into the role of oestrogen. Cellular and Molecular Life Sciences. 64(7-8). 1009–32. 35 indexed citations
12.
Punyadeera, Chamindie, H. Dassen, Jan P.G. Klomp, et al.. (2005). Oestrogen-modulated gene expression in the human endometrium. Cellular and Molecular Life Sciences. 62(2). 239–250. 84 indexed citations
13.
Klomp, Jan P.G., et al.. (2000). Sequence annotation of nuclear receptor ligand-binding domains by automated homology modeling. Protein Engineering Design and Selection. 13(6). 391–394. 13 indexed citations
15.
Stam, Nico J., Patrick Vanderheyden, Jan P.G. Klomp, et al.. (1994). Genomic organisation and functional expression of the gene encoding the human serotonin 5-HT2C receptor. European Journal of Pharmacology Molecular Pharmacology. 269(3). 339–348. 35 indexed citations
16.
Velde, Anje A. te, Benito Yard, Jan P.G. Klomp, J. E. De Vries, & Carl G. Figdor. (1989). Modulation of phenotypic and functional properties of human peripheral blood monocytes by interleukin-4 (IL-4). Inflammation Research. 26(1-2). 199–200. 2 indexed citations
17.
Klomp, Jan P.G., Anje A. te Velde, & Carl G. Figdor. (1989). Rapid densitometric determination of cell migration and cell adhesion in a microchemotaxis chamber. Journal of Immunological Methods. 118(1). 47–52. 9 indexed citations
18.
Velde, Anje A. te, Jan P.G. Klomp, Benito Yard, J E de Vries, & Carl G. Figdor. (1988). Modulation of phenotypic and functional properties of human peripheral blood monocytes by IL-4.. The Journal of Immunology. 140(5). 1548–1554. 256 indexed citations
19.
Figdor, Carl G., et al.. (1985). Differences in functional, phenotypical and physical properties of human peripheral blood monocytes (Mo) reflect their various maturation stages. Journal of Leukocyte Biology. 38. 99–99. 4 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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