Klaus Mohr

5.1k total citations
147 papers, 3.8k citations indexed

About

Klaus Mohr is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Klaus Mohr has authored 147 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Molecular Biology, 73 papers in Cellular and Molecular Neuroscience and 14 papers in Organic Chemistry. Recurrent topics in Klaus Mohr's work include Receptor Mechanisms and Signaling (95 papers), Neuropeptides and Animal Physiology (45 papers) and Neuroscience and Neuropharmacology Research (35 papers). Klaus Mohr is often cited by papers focused on Receptor Mechanisms and Signaling (95 papers), Neuropeptides and Animal Physiology (45 papers) and Neuroscience and Neuropharmacology Research (35 papers). Klaus Mohr collaborates with scholars based in Germany, Italy and United States. Klaus Mohr's co-authors include Christian Tränkle, Ulrike Holzgrabe, Evi Kostenis, Marco De Amici, Ramona Schrage, Andreas Böck, Clelia Dallanoce, John E. Ellis, H. Lüllmann and Elisabetta Barocelli and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Klaus Mohr

144 papers receiving 3.7k citations

Peers

Klaus Mohr

CMN

CTM

RNMI

Nicola Antonio Colabufo Italy

Jesper Lau Denmark

Francesco Berardi Italy

Boris Schmidt Germany

František Hubálek Denmark

Raymond S.L. Chang United States

Federico Da Settimo Italy

Douglas S. Johnson United States

Seok Choi South Korea

Bernard Pirotte Belgium

Nicola Antonio Colabufo Italy

Klaus Mohr

2.3k ×0.8

837 ×0.5

CMN

211 ×0.6

CTM

172 ×0.5

RNMI

942 ×2.8

Citations per year, relative to Klaus Mohr Klaus Mohr (= 1×) peers Nicola Antonio Colabufo

Countries citing papers authored by Klaus Mohr

Since Specialization

Citations

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

Fields of papers citing papers by Klaus Mohr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Mohr

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

Merten, Nicole, Julia Fischer, Katharina Simon, et al.. (2018). Repurposing HAMI3379 to Block GPR17 and Promote Rodent and Human Oligodendrocyte Differentiation. Cell chemical biology. 25(6). 775–786.e5. 28 indexed citations

Grundmann, Manuel, Irina G. Tikhonova, Brian D. Hudson, et al.. (2016). A Molecular Mechanism for Sequential Activation of a G Protein-Coupled Receptor. Cell chemical biology. 23(3). 392–403. 32 indexed citations

Böck, Andreas, Marcel Bermúdez, Carlo Matera, et al.. (2016). Ligand Binding Ensembles Determine Graded Agonist Efficacies at a G Protein-coupled Receptor. Journal of Biological Chemistry. 291(31). 16375–16389. 79 indexed citations

Leiss, Veronika, Suvi Annala, Jochen Müller‐Ehmsen, et al.. (2015). Lack of Gα_i2leads to dilative cardiomyopathy and increased mortality in β₁-adrenoceptor overexpressing mice. Cardiovascular Research. 108(3). 348–356. 8 indexed citations

Mohr, Klaus, Christian Tränkle, Evi Kostenis, et al.. (2010). Rational design of dualsteric GPCR ligands: quests and promise. British Journal of Pharmacology. 159(5). 997–1008. 103 indexed citations

Schröder, R, Johannes Schmidt, Nicole Merten, et al.. (2010). Deconvolution of complex G protein–coupled receptor signaling in live cells using dynamic mass redistribution measurements. Nature Biotechnology. 28(9). 943–949. 212 indexed citations

Gilsbach, Ralf, Vildan Alptüzün, Erçin Erciyas, et al.. (2003). Cooperative Interactions at M2 Muscarinic Acetylcholine Receptors: Structure/Activity Relationships in Stepwise Shortened Bispyridinium- and Bis(Ammonio)Alkane-Type Allosteric Modulators. Neurochemical Research. 28(3-4). 667–673. 7 indexed citations

Tränkle, Christian, et al.. (2003). Interactions of Orthosteric and Allosteric Ligands with [3H]Dimethyl-W84 at the Common Allosteric Site of Muscarinic M2 Receptors. Molecular Pharmacology. 64(1). 180–190. 51 indexed citations

Eckstein, Niels, et al.. (2002). Allosteric Modulation of Muscarinic Receptor Signaling: Alcuronium-Induced Conversion of Pilocarpine from an Agonist into an Antagonist. Journal of Pharmacology and Experimental Therapeutics. 301(2). 720–728. 35 indexed citations

10.

Tränkle, Christian, et al.. (1998). Identification of a [3H]Ligand for the Common Allosteric Site of Muscarinic Acetylcholine M2 Receptors. Molecular Pharmacology. 54(1). 139–145. 51 indexed citations

11.

Schulz, Uwe, et al.. (1998). Interaction of Mg2+ with the allosteric site of muscarinic M2 receptors. Naunyn-Schmiedeberg s Archives of Pharmacology. 357(4). 363–370. 18 indexed citations

12.

Tränkle, Christian, et al.. (1997). Molecular rigidity and potency of bispyridinium type allosteric modulators at muscarinic M2-receptors. Life Sciences. 60(22). 1995–2003. 6 indexed citations

13.

Mohr, Klaus, et al.. (1996). Opposite effects of alcuronium on agonist and on antagonist binding to muscarinic receptors. European Journal of Pharmacology. 305(1-3). 231–234. 9 indexed citations

14.

Kostenis, Evi, et al.. (1996). Evidence for a multiple binding mode of bispyridinium-type allosteric modulators of muscarinic receptors. European Journal of Pharmacology. 314(3). 385–392. 21 indexed citations

15.

Nieger, Martin, et al.. (1995). EPC-Synthese, Struktur und Pharmakologie lactonisierter und lactamisierter Acetylcholin-Analoga : Lactone. XXVIII. Pharmazie. 50(1). 15–21. 1 indexed citations

16.

Mohr, Klaus & Christian Tränkle. (1994). Allosteric Effects of the Alkane‐bis‐ammonium Compound W84 and of Tacrine on [³H]Pirenzepine Binding at M₁‐Receptors in Rat Cerebral Cortex. Pharmacology & Toxicology. 75(6). 391–394. 13 indexed citations

17.

Holzgrabe, Ulrike, et al.. (1994). Search for the Pharmacophore of Bispyridinium-Type Allosteric Modulators of Muscarinic Receptors. Journal of Medicinal Chemistry. 37(10). 1439–1445. 39 indexed citations

18.

Mohr, Klaus, et al.. (1992). Equipotent Allosteric Effect of W84 on [³H]NMS‐Binding to Cardiac Muscarinic Receptors from Guinea‐Pig, Rat, and Pig^*,^**. Pharmacology & Toxicology. 70(3). 198–200. 3 indexed citations

19.

Hempelmann, Ralf G., et al.. (1991). Modulation of Ouabain Binding in Beating Ventricular Myocardium from Guinea‐Pigs: Effects of Lidocaine and Monensin. Pharmacology & Toxicology. 68(4). 243–248. 4 indexed citations

20.

Mohr, Klaus, et al.. (1990). Berechnung des Garungswertes C_o fester Lebensmittel. Food / Nahrung. 34(3). 219–224. 1 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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