Jennifer Venhorst

1.0k total citations
26 papers, 811 citations indexed

About

Jennifer Venhorst is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Jennifer Venhorst has authored 26 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in Jennifer Venhorst's work include Computational Drug Discovery Methods (8 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Receptor Mechanisms and Signaling (5 papers). Jennifer Venhorst is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Receptor Mechanisms and Signaling (5 papers). Jennifer Venhorst collaborates with scholars based in Netherlands, United Kingdom and United States. Jennifer Venhorst's co-authors include Chris G. Kruse, Sara Núñez, Nico Vermeulen, Jan N. M. Commandeur, Antonius ter Laak, Rob Onderwater, Jan Willem Terpstra, Natasja de Bruin, Yoshihiko Funae and Toyoko Hiroi and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Jennifer Venhorst

25 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Venhorst Netherlands	18	395	229	203	118	107	26	811
Dino Montanari Italy	14	382 1.0×	265 1.2×	129 0.6×	89 0.8×	185 1.7×	23	980
Stefanus J. Steyn United States	19	428 1.1×	257 1.1×	390 1.9×	451 3.8×	111 1.0×	38	1.5k
Danni L. Harris United States	22	607 1.5×	87 0.4×	318 1.6×	200 1.7×	140 1.3×	52	1.4k
Cheng Chang United States	14	275 0.7×	137 0.6×	167 0.8×	122 1.0×	58 0.5×	29	747
Spencer S. Ericksen United States	15	399 1.0×	212 0.9×	187 0.9×	81 0.7×	41 0.4×	29	681
Trevor Howe United Kingdom	13	697 1.8×	286 1.2×	177 0.9×	67 0.6×	308 2.9×	24	1.2k
Norman Huebert United States	21	356 0.9×	54 0.2×	176 0.9×	144 1.2×	103 1.0×	40	1.1k
Zdzisław Chilmończyk Poland	20	662 1.7×	184 0.8×	73 0.4×	66 0.6×	372 3.5×	92	1.3k
Scott Oloff United States	11	487 1.2×	561 2.4×	70 0.3×	77 0.7×	168 1.6×	14	1.1k
Simone Braggio Italy	15	214 0.5×	77 0.3×	57 0.3×	55 0.5×	86 0.8×	25	540

Countries citing papers authored by Jennifer Venhorst

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Venhorst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Venhorst

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Venhorst. A scholar is included among the top collaborators of Jennifer Venhorst 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 Jennifer Venhorst. Jennifer Venhorst 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

Hernández, Manuel A. González, Lars Verschuren, Martien P. M. Caspers, et al.. (2024). Identifying patient subgroups in MASLD and MASH-associated fibrosis: molecular profiles and implications for drug development. Scientific Reports. 14(1). 23362–23362. 4 indexed citations

Venhorst, Jennifer, Roeland Hanemaaijer, Martien P. M. Caspers, et al.. (2024). Integrating text mining with network models for successful target identification: in vitro validation in MASH-induced liver fibrosis. Frontiers in Pharmacology. 15. 1442752–1442752. 2 indexed citations

Venhorst, Jennifer, J.M.B.M. van der Vossen, & Valeria Agamennone. (2022). Battling Enteropathogenic Clostridia: Phage Therapy for Clostridioides difficile and Clostridium perfringens. Frontiers in Microbiology. 13. 891790–891790. 23 indexed citations

Venhorst, Jennifer, et al.. (2022). Oncostatin M: Risks and Benefits of a Novel Therapeutic Target for Atherosclerosis. Current Drug Targets. 23(14). 1345–1369. 4 indexed citations

Bruin, Natasja de, Arnold van Loevezijn, Karsten Wicke, et al.. (2016). The selective 5-HT 6 receptor antagonist SLV has putative cognitive- and social interaction enhancing properties in rodent models of cognitive impairment. Neurobiology of Learning and Memory. 133. 100–117. 22 indexed citations

Loevezijn, Arnold van, Jennifer Venhorst, Wouter Bakker, et al.. (2016). Optimization of N′-(arylsulfonyl)pyrazoline-1-carboxamidines by exploiting a novel interaction site in the 5-HT6 antagonistic binding pocket. Bioorganic & Medicinal Chemistry Letters. 26(6). 1605–1611. 3 indexed citations

Steeg, Evita van de, et al.. (2015). Generation of Bayesian prediction models for OATP-mediated drug–drug interactions based on inhibition screen of OATP1B1, OATP1B1∗15 and OATP1B3. European Journal of Pharmaceutical Sciences. 70. 29–36. 15 indexed citations

Bruin, Natasja de, Andrew C. McCreary, Arnold van Loevezijn, et al.. (2012). A novel highly selective 5-HT6 receptor antagonist attenuates ethanol and nicotine seeking but does not affect inhibitory response control in Wistar rats. Behavioural Brain Research. 236(1). 157–165. 25 indexed citations

Bruin, Natasja de, Jos Prickaerts, Arnold van Loevezijn, et al.. (2011). Two novel 5-HT6 receptor antagonists ameliorate scopolamine-induced memory deficits in the object recognition and object location tasks in Wistar rats. Neurobiology of Learning and Memory. 96(2). 392–402. 54 indexed citations

10.

Loevezijn, Arnold van, Jennifer Venhorst, Wouter Bakker, et al.. (2011). N′-(Arylsulfonyl)pyrazoline-1-carboxamidines as Novel, Neutral 5-Hydroxytryptamine 6 Receptor (5-HT₆R) Antagonists with Unique Structural Features. Journal of Medicinal Chemistry. 54(20). 7030–7054. 44 indexed citations

11.

Lange, Jos H.M., Jennifer Venhorst, Maria J. P. van Dongen, et al.. (2011). Biophysical and physicochemical methods differentiate highly ligand-efficient human D-amino acid oxidase inhibitors. European Journal of Medicinal Chemistry. 46(10). 4808–4819. 21 indexed citations

12.

Venhorst, Jennifer, et al.. (2010). Assessment of a Novel Scoring Method Based on Solvent Accessible Surface Area Descriptors. Journal of Chemical Information and Modeling. 50(4). 480–486. 18 indexed citations

13.

Venhorst, Jennifer, Martijn Rooseboom, Nico Vermeulen, & Jan N. M. Commandeur. (2003). Studies on the inhibition of human cytochromes P450 by selenocysteine Se -conjugates. Xenobiotica. 33(1). 57–72. 7 indexed citations

14.

Venhorst, Jennifer, Antonius ter Laak, Jan N. M. Commandeur, et al.. (2002). Homology Modeling of Rat and Human Cytochrome P450 2D (CYP2D) Isoforms and Computational Rationalization of Experimental Ligand-Binding Specificities. Journal of Medicinal Chemistry. 46(1). 74–86. 92 indexed citations

15.

Layton, Judith E., Nathan E. Hall, Fiona Connell, Jennifer Venhorst, & Herbert Treutlein. (2001). Identification of Ligand-binding Site III on the Immunoglobulin-like Domain of the Granulocyte Colony-stimulating Factor Receptor. Journal of Biological Chemistry. 276(39). 36779–36787. 38 indexed citations

16.

Venhorst, Jennifer, Rob Onderwater, John H.N. Meerman, Jan N. M. Commandeur, & Nico Vermeulen. (2000). Influence of N-Substitution of 7-Methoxy-4-(aminomethyl)-coumarin on Cytochrome P450 Metabolism and Selectivity. Drug Metabolism and Disposition. 28(12). 1524–1532. 36 indexed citations

17.

Venhorst, Jennifer, Rob Onderwater, John H.N. Meerman, Nico Vermeulen, & Jan N. M. Commandeur. (2000). Evaluation of a novel high-throughput assay for cytochrome P450 2D6 using 7-methoxy-4-(aminomethyl)-coumarin. European Journal of Pharmaceutical Sciences. 12(2). 151–158. 19 indexed citations

18.

Onderwater, Rob, Jennifer Venhorst, Jan N. M. Commandeur, & Nico Vermeulen. (1999). Design, Synthesis, and Characterization of 7-Methoxy-4-(aminomethyl)coumarin as a Novel and Selective Cytochrome P450 2D6 Substrate Suitable for High-Throughput Screening. Chemical Research in Toxicology. 12(7). 555–559. 50 indexed citations

19.

Zwart, L.L. de, et al.. (1997). Simultaneous determination of eight lipid peroxidation degradation products in urine of rats treated with carbon tetrachloride using gas chromatography with electron-capture detection. Journal of Chromatography B Biomedical Sciences and Applications. 694(2). 277–287. 45 indexed citations

20.

Laak, Antonius ter, Jennifer Venhorst, Gabriëlle M. Donné-Op den Kelder, & H. Timmerman. (1995). The Histamine H1-Receptor Antagonist Binding Site. A Stereoselective Pharmacophoric Model Based upon (Semi-)Rigid H1-Antagonists and Including a Known Interaction Site on the Receptor. Journal of Medicinal Chemistry. 38(17). 3351–3360. 35 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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