Pieter G. Tepper

2.2k total citations
62 papers, 1.8k citations indexed

About

Pieter G. Tepper is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Pieter G. Tepper has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Organic Chemistry. Recurrent topics in Pieter G. Tepper's work include Receptor Mechanisms and Signaling (16 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Pieter G. Tepper is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Pieter G. Tepper collaborates with scholars based in Netherlands, United States and Australia. Pieter G. Tepper's co-authors include Alan S. Horn, Gerrit J. Poelarends, W. Timmerman, Jan B. De Vries, Jan van der Weide, Wim J. Quax, Durk Dijkstra, Margarita L. Dubocovich, Yufeng Miao and Edzard M. Geertsema and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Pieter G. Tepper

62 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pieter G. Tepper Netherlands 26 948 682 379 215 118 62 1.8k
Durk Dijkstra Netherlands 22 784 0.8× 865 1.3× 328 0.9× 116 0.5× 108 0.9× 79 1.5k
Anette M. Johansson Sweden 25 938 1.0× 695 1.0× 388 1.0× 83 0.4× 93 0.8× 62 1.6k
Sonia Poli United States 24 978 1.0× 933 1.4× 156 0.4× 108 0.5× 159 1.3× 45 2.0k
Paul L. Herrling Switzerland 19 676 0.7× 972 1.4× 156 0.4× 122 0.6× 106 0.9× 43 1.6k
Milt Teitler United States 32 1.6k 1.6× 1.6k 2.3× 550 1.5× 76 0.4× 251 2.1× 73 2.8k
Hyacinth C. Akunne United States 24 925 1.0× 1.0k 1.5× 248 0.7× 69 0.3× 84 0.7× 49 1.5k
Susan E. Hattox United States 22 525 0.6× 430 0.6× 252 0.7× 148 0.7× 158 1.3× 32 2.2k
Rolf H. Prager Australia 18 817 0.9× 678 1.0× 693 1.8× 45 0.2× 123 1.0× 125 2.1k
Creed W. Abell United States 24 919 1.0× 722 1.1× 236 0.6× 526 2.4× 191 1.6× 79 2.2k
Catarina A. Gomes Portugal 18 447 0.5× 403 0.6× 171 0.5× 103 0.5× 128 1.1× 26 1.8k

Countries citing papers authored by Pieter G. Tepper

Since Specialization
Citations

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

Fields of papers citing papers by Pieter G. Tepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pieter G. Tepper. 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 Pieter G. Tepper. The network helps show where Pieter G. Tepper may publish in the future.

Co-authorship network of co-authors of Pieter G. Tepper

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

All Works

20 of 20 papers shown
1.
Tepper, Pieter G., et al.. (2025). Expanding the Substrate Scope of C−N Lyases by Homologue Discovery. ChemBioChem. 26(7). e202500068–e202500068. 1 indexed citations
2.
Crotti, Michele, et al.. (2023). Biocatalytic Cascade Synthesis of Enantioenriched Epoxides and Triols from Biomass‐Derived Synthons Driven by Specifically Designed Enzymes. Chemistry - A European Journal. 29(31). e202300697–e202300697. 3 indexed citations
3.
Saravanan, Thangavelu, et al.. (2021). Biocatalytic enantioselective hydroaminations enabling synthesis of N-arylalkyl-substituted l-aspartic acids. Organic & Biomolecular Chemistry. 19(29). 6407–6411. 4 indexed citations
4.
Woerdenbag, Herman J., Wouter L.J. Hinrichs, Anita Visser, et al.. (2019). Antifungal and biofilm inhibitory effect of Cymbopogon citratus (lemongrass) essential oil on biofilm forming by Candida tropicalis isolates; an in vitro study. Journal of Ethnopharmacology. 246. 112188–112188. 68 indexed citations
5.
Saravanan, Thangavelu, et al.. (2018). Modular Enzymatic Cascade Synthesis of Vitamin B5 and Its Derivatives. Chemistry - A European Journal. 24(66). 17434–17438. 8 indexed citations
6.
Reis, Carlos R., Rita Setroikromo, Saravanan Yuvaraj, et al.. (2014). The ER stress inducer DMC enhances TRAIL-induced apoptosis in glioblastoma. SpringerPlus. 3(1). 495–495. 13 indexed citations
7.
Geertsema, Edzard M., Yufeng Miao, Pieter G. Tepper, et al.. (2013). Biocatalytic Michael‐Type Additions of Acetaldehyde to Nitroolefins with the Proline‐Based Enzyme 4‐Oxalocrotonate Tautomerase Yielding Enantioenriched γ‐Nitroaldehydes. Chemistry - A European Journal. 19(43). 14407–14410. 50 indexed citations
8.
Campiani, Giuseppe, Vito Nacci, Antonio Garofalo, et al.. (1998). New Antipsychotic Agents with Serotonin and Dopamine Antagonist Properties Based on a Pyrrolo[2,1-b][1,3]benzothiazepine Structure. Journal of Medicinal Chemistry. 41(20). 3763–3772. 41 indexed citations
9.
Tepper, Pieter G., et al.. (1993). 2-Amido-8-methoxytetralins: A series of nonindolic melatonin-like agents. Journal of Medicinal Chemistry. 36(20). 2891–2898. 73 indexed citations
10.
Damsma, G., Ben H.C. Westerink, Pieter G. Tepper, et al.. (1993). Pharmacological aspects of R-( + )-7-OH-DPAT, a putative dopamine D3 receptor ligand. European Journal of Pharmacology. 249(3). R9–R10. 121 indexed citations
11.
Jansen, Johanna M., Izaak den Daas, Hans Rollema, et al.. (1991). Pharmacological profile of non-hydroxylated and ether derivatives of the potent D2-selective agonist N-0437. Naunyn-Schmiedeberg s Archives of Pharmacology. 343(2). 134–142. 3 indexed citations
12.
Timmerman, Wia, et al.. (1990). The potential antipsychotic activity of the partial dopamine receptor agonist (+) N-0437. European Journal of Pharmacology. 181(3). 253–260. 8 indexed citations
13.
14.
15.
Löschmann, Peter‐A., Masahiro Nomoto, Pieter G. Tepper, et al.. (1989). Stereoselective reversal of MPTP-induced parkinsonism in the marmoset after dermal application of N-0437. European Journal of Pharmacology. 166(3). 373–380. 45 indexed citations
16.
Timmerman, Wia, et al.. (1989). The effects of the enantiomers of the dopamine agonist N-0437 on food consumption and yawning behavior in rats. European Journal of Pharmacology. 174(1). 107–114. 18 indexed citations
17.
Weide, Jan van der, et al.. (1988). The enantiomers of the D-2 dopamine receptor agonist N-0437 discriminate between pre- and postsynaptic dopamine receptors. European Journal of Pharmacology. 146(2-3). 319–326. 35 indexed citations
18.
19.
Beart, Philip M., Marion Cincotta, David J. De Vries, et al.. (1987). Radioreceptor binding reveals the potencies of N,N-disubstituted 2-aminotetralins as D2 dopamine agonists. Naunyn-Schmiedeberg s Archives of Pharmacology. 336(5). 487–493. 14 indexed citations
20.
Weide, Jan van der, Jan B. De Vries, Pieter G. Tepper, & Alan S. Horn. (1987). In vitro binding of the very potent and selective D-2 dopamine agonist, [3H]N-0437 to calf caudate membranes. European Journal of Pharmacology. 134(2). 211–219. 39 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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