Markus Ewert

1.4k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Markus Ewert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Markus Ewert has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Animal Science and Zoology. Recurrent topics in Markus Ewert's work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). Markus Ewert is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). Markus Ewert collaborates with scholars based in Germany, Switzerland and Bulgaria. Markus Ewert's co-authors include P. H. Seeburg, Brenda D. Shivers, Peter H. Seeburg, Dolan B. Pritchett, Bert Sakmann, Andreas Draguhn, Anne Herb, Roberto Dal Toso, Bernd Sommer and A. Bach and has published in prestigious journals such as Neuron, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Markus Ewert

9 papers receiving 1.2k citations

Hit Papers

Functional and molecular distinction between recombinant ... 1990 2026 2002 2014 1990 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Ewert Germany 8 1.0k 892 88 80 80 9 1.2k
Khaled M. Houamed United States 13 1.2k 1.2× 1.2k 1.3× 105 1.2× 96 1.2× 146 1.8× 20 1.6k
Lorrie P. Daggett United States 20 917 0.9× 694 0.8× 174 2.0× 53 0.7× 42 0.5× 25 1.1k
Irm Hermans-Borgmeyer Germany 8 879 0.9× 944 1.1× 99 1.1× 63 0.8× 138 1.7× 12 1.3k
M. Bureau United States 14 610 0.6× 553 0.6× 73 0.8× 60 0.8× 52 0.7× 22 920
D.A.S. Smith United Kingdom 15 856 0.9× 626 0.7× 143 1.6× 47 0.6× 30 0.4× 21 1.1k
Pascale Montpied United States 19 767 0.8× 453 0.5× 143 1.6× 219 2.7× 97 1.2× 28 1.1k
A.H. Mulder Netherlands 20 856 0.9× 668 0.7× 79 0.9× 34 0.4× 41 0.5× 44 1.1k
Misa Yamada Japan 21 577 0.6× 590 0.7× 140 1.6× 77 1.0× 68 0.8× 53 1.1k
T.W. Rosahl United States 11 1.1k 1.1× 771 0.9× 258 2.9× 107 1.3× 35 0.4× 12 1.5k
Gillian F. O’Meara United Kingdom 11 834 0.8× 543 0.6× 218 2.5× 70 0.9× 43 0.5× 11 1.1k

Countries citing papers authored by Markus Ewert

Since Specialization
Citations

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

Fields of papers citing papers by Markus Ewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Ewert

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Ewert. A scholar is included among the top collaborators of Markus Ewert 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 Markus Ewert. Markus Ewert 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.
Müller, Dirk, et al.. (2016). AbschlussberichtEnEff:Stadt - Bottrop, Welheimer Mark : Integrale Planung einer energetischen Aufwertung und neuen Versorgungsstruktur der Sektoren Arbeiten, Wohnen und Infrastruktur. RWTH Publications (RWTH Aachen). 4 indexed citations
3.
Ewert, Markus, et al.. (1992). A prominent epitope on GABAA receptors is recognized by two different monoclonal antibodies. Brain Research. 569(1). 57–62. 74 indexed citations
4.
Ewert, Markus, et al.. (1991). Inverse but not full benzodiazepine agonists modulate recombinant α6β2γ2 GABAA receptors in transfected human embryonic kidney cells. Neuroscience Letters. 130(2). 169–172. 55 indexed citations
5.
David, Carol, Markus Ewert, P. H. Seeburg, & Sara Fuchs. (1991). Antipeptide antibodies differentiate between long and short isoforms of the D2 dopamine receptor. Biochemical and Biophysical Research Communications. 179(2). 824–829. 13 indexed citations
6.
Blankenfeld, G. von, S. Ymer, Dolan B. Pritchett, et al.. (1990). Differential benzodiazepine pharmacology of mammalian recombinant GABAA receptors. Neuroscience Letters. 115(2-3). 269–273. 71 indexed citations
7.
Draguhn, Andreas, et al.. (1990). Functional and molecular distinction between recombinant rat GABAA receptor subtypes by Zn2+. Neuron. 5(6). 781–788. 344 indexed citations breakdown →
8.
Ewert, Markus, Brenda D. Shivers, Hartmut Lüddens, H. Möhler, & P. H. Seeburg. (1990). Subunit selectivity and epitope characterization of mAbs directed against the GABAA/benzodiazepine receptor.. The Journal of Cell Biology. 110(6). 2043–2048. 140 indexed citations
9.
Toso, Roberto Dal, Bernd Sommer, Markus Ewert, et al.. (1989). The dopamine D2 receptor: two molecular forms generated by alternative splicing.. The EMBO Journal. 8(13). 4025–4034. 478 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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