W. E. M�ller

411 total citations
9 papers, 349 citations indexed

About

W. E. M�ller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, W. E. M�ller has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in W. E. M�ller's work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (3 papers). W. E. M�ller is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuropeptides and Animal Physiology (3 papers). W. E. M�ller collaborates with scholars based in Germany. W. E. M�ller's co-authors include U. Wollert, Harald O. Borbe, Klaus J. Fehske, Hans Rommelspacher, S. Høyer and Hans W. Moises and has published in prestigious journals such as Psychopharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology and Journal of Neural Transmission.

In The Last Decade

W. E. M�ller

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. E. M�ller Germany 8 196 151 56 55 41 9 349
Wayne D. Yonekawa United States 14 217 1.1× 346 2.3× 46 0.8× 35 0.6× 32 0.8× 29 574
M. Wolfensberger Switzerland 11 206 1.1× 255 1.7× 45 0.8× 25 0.5× 13 0.3× 14 476
Arthur K. Cho United States 10 197 1.0× 334 2.2× 22 0.4× 68 1.2× 20 0.5× 12 517
M Quarum United States 6 484 2.5× 404 2.7× 25 0.4× 43 0.8× 41 1.0× 8 627
Hermann J. Gerhards Germany 11 126 0.6× 135 0.9× 21 0.4× 62 1.1× 84 2.0× 18 340
Yuzo Matsuoka Japan 12 134 0.7× 136 0.9× 15 0.3× 28 0.5× 68 1.7× 34 370
Stephen D. Hurt United States 10 351 1.8× 366 2.4× 45 0.8× 23 0.4× 65 1.6× 19 526
Willy P. Burkard Switzerland 10 224 1.1× 222 1.5× 14 0.3× 35 0.6× 43 1.0× 14 439
E. Chanut France 11 188 1.0× 205 1.4× 14 0.3× 38 0.7× 22 0.5× 16 437
Michio Terai United Kingdom 11 362 1.8× 240 1.6× 35 0.6× 69 1.3× 75 1.8× 24 613

Countries citing papers authored by W. E. M�ller

Since Specialization
Citations

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

Fields of papers citing papers by W. E. M�ller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. E. M�ller. 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 W. E. M�ller. The network helps show where W. E. M�ller may publish in the future.

Co-authorship network of co-authors of W. E. M�ller

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

All Works

9 of 9 papers shown
1.
M�ller, W. E., et al.. (1997). Learning abilities depend on NMDA-receptor density in hippocampus in adult rats. Journal of Neural Transmission. 104(2-3). 281–289. 24 indexed citations
2.
M�ller, W. E., et al.. (1988). Piracetam elevates muscarinic cholinergic receptor density in the frontal cortex of aged but not of young mice. Psychopharmacology. 94(1). 74–78. 60 indexed citations
3.
Moises, Hans W., et al.. (1988). Personality factors predisposing to depression correlate significantly negatively with M1-muscarinic and ?-adrenergic receptor densities on blood cells. European Archives of Psychiatry and Clinical Neuroscience. 237(4). 209–217. 8 indexed citations
4.
M�ller, W. E., et al.. (1987). Stereospecific3H-QNB binding to human erythrocyte membranes associated with muscarinic cholinergic receptors. Journal of Neural Transmission. 68(1-2). 97–111. 9 indexed citations
5.
M�ller, W. E., et al.. (1985). Peripheral benzodiazepine binding sites on striated muscles of the rat: Properties and effect of denervation. Journal of Neural Transmission. 61(1-2). 35–42. 6 indexed citations
6.
M�ller, W. E., et al.. (1983). Characterization of a common binding site for basic drugs on human ?2-acid glycoprotein (orosomucoid). Naunyn-Schmiedeberg s Archives of Pharmacology. 322(2). 170–173. 74 indexed citations
7.
Fehske, Klaus J., et al.. (1982). ?-Carboline binding indicates the presence of benzodiazepine receptor subclasses in the bovine central nervous system. Naunyn-Schmiedeberg s Archives of Pharmacology. 319(2). 172–177. 17 indexed citations
8.
Rommelspacher, Hans, et al.. (1980). 1-Methyl-?-carboline (Harmane), a potent endogenous inhibitor of benzodiazepine receptor binding. Naunyn-Schmiedeberg s Archives of Pharmacology. 314(1). 97–100. 97 indexed citations
9.
M�ller, W. E. & U. Wollert. (1975). Benzodiazepines: Specific competitors for the binding of l-tryptophan to human serum albumin. Naunyn-Schmiedeberg s Archives of Pharmacology. 288(1). 17–27. 54 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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