Anders A. Jensen

7.3k total citations
190 papers, 5.5k citations indexed

About

Anders A. Jensen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Anders A. Jensen has authored 190 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 104 papers in Cellular and Molecular Neuroscience and 27 papers in Organic Chemistry. Recurrent topics in Anders A. Jensen's work include Receptor Mechanisms and Signaling (78 papers), Neuroscience and Neuropharmacology Research (77 papers) and Nicotinic Acetylcholine Receptors Study (74 papers). Anders A. Jensen is often cited by papers focused on Receptor Mechanisms and Signaling (78 papers), Neuroscience and Neuropharmacology Research (77 papers) and Nicotinic Acetylcholine Receptors Study (74 papers). Anders A. Jensen collaborates with scholars based in Denmark, United States and Australia. Anders A. Jensen's co-authors include Hans Bräuner‐Osborne, Povl Krogsgaard‐Larsen, Bente Frølund, Tommy Liljefors, Lennart Bunch, Petrine Wellendorph, Frede Østergaard Andersen, Henning S. Jensen, Paul O. Sheppard and Patrick J. O’Hara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Anders A. Jensen

186 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders A. Jensen Denmark 40 3.1k 1.9k 915 466 300 190 5.5k
Paul Hartig United States 40 4.6k 1.5× 5.2k 2.7× 618 0.7× 627 1.3× 1.1k 3.7× 81 8.7k
Thomas J. Ruth Canada 49 802 0.3× 1.9k 1.0× 367 0.4× 378 0.8× 440 1.5× 145 7.9k
Anthony J. Trevor United States 34 1.4k 0.4× 2.2k 1.1× 376 0.4× 1.3k 2.8× 657 2.2× 97 6.1k
Jouko Tuomisto Finland 43 1.5k 0.5× 997 0.5× 205 0.2× 338 0.7× 699 2.3× 190 9.7k
Jason R. Richardson United States 51 2.0k 0.6× 1.8k 0.9× 82 0.1× 407 0.9× 967 3.2× 143 7.6k
Burkhard Pöeggeler United States 53 2.4k 0.8× 1.4k 0.8× 1.4k 1.6× 501 1.1× 2.7k 8.9× 117 11.3k
Béla Kiss Hungary 32 1.0k 0.3× 1.2k 0.6× 285 0.3× 424 0.9× 176 0.6× 163 3.7k
Guido Cimino Italy 41 1.2k 0.4× 793 0.4× 1.8k 1.9× 3.1k 6.7× 120 0.4× 220 7.0k
Andreas Büsch Germany 57 6.0k 1.9× 2.0k 1.0× 157 0.2× 218 0.5× 513 1.7× 204 9.3k
Deborah C. Mash United States 71 6.1k 2.0× 7.5k 3.9× 546 0.6× 2.0k 4.2× 2.7k 8.9× 234 16.5k

Countries citing papers authored by Anders A. Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Anders A. Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anders A. Jensen. 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 Anders A. Jensen. The network helps show where Anders A. Jensen may publish in the future.

Co-authorship network of co-authors of Anders A. Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Anders A. Jensen. A scholar is included among the top collaborators of Anders A. Jensen 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 Anders A. Jensen. Anders A. Jensen 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.
Bräuner‐Osborne, Hans, et al.. (2024). Detailed functional characterization of four nanobodies as positive allosteric modulators of the human calcium-sensing receptor. Biochemical Pharmacology. 231. 116619–116619.
2.
Teng, Jinfeng, et al.. (2024). Structural insights into GABAA receptor potentiation by Quaalude. Nature Communications. 15(1). 5244–5244. 3 indexed citations
3.
Jensen, Anders A., et al.. (2024). Discovery and Structure–Activity Relationships of 2,5-Dimethoxyphenylpiperidines as Selective Serotonin 5-HT2A Receptor Agonists. Journal of Medicinal Chemistry. 67(9). 7224–7244. 4 indexed citations
4.
Brandt, T, Vladimir Shalgunov, Celia Kjærby, et al.. (2023). Repeated low doses of psilocybin increase resilience to stress, lower compulsive actions, and strengthen cortical connections to the paraventricular thalamic nucleus in rats. Molecular Psychiatry. 28(9). 3829–3841. 23 indexed citations
5.
Pottie, Eline, Christian B. M. Poulie, Ícaro A. Simon, et al.. (2023). Structure–Activity Assessment and In-Depth Analysis of Biased Agonism in a Set of Phenylalkylamine 5-HT2A Receptor Agonists. ACS Chemical Neuroscience. 14(15). 2727–2742. 12 indexed citations
6.
7.
Poulie, Christian B. M., Eline Pottie, Ícaro A. Simon, et al.. (2022). Discovery of β-Arrestin-Biased 25CN-NBOH-Derived 5-HT2AReceptor Agonists. Journal of Medicinal Chemistry. 65(18). 12031–12043. 16 indexed citations
8.
Pickering, Darryl S., Thor C. Møller, Anders A. Jensen, et al.. (2022). Discovery of the First Highly Selective Antagonist of the GluK3 Kainate Receptor Subtype. International Journal of Molecular Sciences. 23(15). 8797–8797. 7 indexed citations
9.
10.
Villmann, Carmen, et al.. (2020). Comparison of biophysical properties of α1β2 and α3β2 GABAA receptors in whole-cell patch-clamp electrophysiological recordings. PLoS ONE. 15(6). e0234080–e0234080. 3 indexed citations
11.
Hassaı̈ne, Ghérici, Emmanuelle Neumann, Anders A. Jensen, et al.. (2018). Conformational transitions of the serotonin 5-HT3 receptor. Nature. 563(7730). 275–279. 113 indexed citations
12.
Jensen, Anne Birkeholm, et al.. (2014). Pharmacological characterisation of α6β4⁎ nicotinic acetylcholine receptors assembled from three chimeric α6/α3 subunits in tsA201 cells. European Journal of Pharmacology. 740. 703–713. 5 indexed citations
13.
Armishaw, Christopher J., et al.. (2010). Improving the Stability of α-Conotoxin AuIB Through N-to-C Cyclization: The Effect of Linker Length on Stability and Activity at Nicotinic Acetylcholine Receptors. Antioxidants and Redox Signaling. 14(1). 65–76. 28 indexed citations
14.
15.
Armishaw, Christopher J., Anders A. Jensen, Thomas Balle, et al.. (2009). Rational Design of α-Conotoxin Analogues Targeting α7 Nicotinic Acetylcholine Receptors. Journal of Biological Chemistry. 284(14). 9498–9512. 46 indexed citations
16.
Jensen, Anders A.. (2005). Psychometric G and Mental Chronometry. Cortex. 41(2). 230–231.
17.
Jensen, Anders A.. (2005). Functional characterisation of human glycine receptors in a fluorescence-based high throughput screening assay. European Journal of Pharmacology. 521(1-3). 39–42. 13 indexed citations
18.
Jaracz, Stanislav, Koji Nakanishi, Anders A. Jensen, & Kristian Strømgaard. (2004). Ginkgolides and Glycine Receptors: A Structure–Activity Relationship Study. Chemistry - A European Journal. 10(6). 1507–1518. 36 indexed citations
19.
Jensen, Anders A., Paul O. Sheppard, Patrick J. O’Hara, Povl Krogsgaard‐Larsen, & Hans Bräuner‐Osborne. (2000). The role of Arg78 in the metabotropic glutamate receptor mGlu1 for agonist binding and selectivity. European Journal of Pharmacology. 397(2-3). 247–253. 26 indexed citations
20.
Pejrup, Morten, et al.. (1996). Particle Dynamics in the Sound Between Denmark and Sweden. Coastal dynamics. 951–962. 6 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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