Michael Freissmuth

18.7k total citations · 1 hit paper
284 papers, 11.0k citations indexed

About

Michael Freissmuth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Michael Freissmuth has authored 284 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Molecular Biology, 103 papers in Cellular and Molecular Neuroscience and 38 papers in Cell Biology. Recurrent topics in Michael Freissmuth's work include Receptor Mechanisms and Signaling (101 papers), Neuroscience and Neuropharmacology Research (64 papers) and Neurotransmitter Receptor Influence on Behavior (45 papers). Michael Freissmuth is often cited by papers focused on Receptor Mechanisms and Signaling (101 papers), Neuroscience and Neuropharmacology Research (64 papers) and Neurotransmitter Receptor Influence on Behavior (45 papers). Michael Freissmuth collaborates with scholars based in Austria, United States and Germany. Michael Freissmuth's co-authors include Harald H. Sitte, Christian Nanoff, Alfred G. Gilman, Wolfgang Schütz, Martin Hermann, Oliver Kudlacek, Sonja Sučić, Markus Klinger, Patrick J. Casey and Stefan Boehm and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Freissmuth

280 papers receiving 10.8k citations

Hit Papers

G proteins control divers... 1989 2026 2001 2013 1989 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Freissmuth 6.4k 4.2k 1.4k 1.3k 1.1k 284 11.0k
Barbara E. Ehrlich 7.6k 1.2× 2.8k 0.7× 815 0.6× 1.1k 0.9× 1.7k 1.6× 177 11.2k
Michael R. Hanley 8.2k 1.3× 4.6k 1.1× 789 0.6× 714 0.6× 1.7k 1.6× 127 13.0k
Eamonn Kelly 6.4k 1.0× 4.7k 1.1× 863 0.6× 567 0.4× 428 0.4× 159 12.4k
Stephen D. Skaper 5.5k 0.9× 6.2k 1.5× 845 0.6× 900 0.7× 976 0.9× 277 15.4k
Gang Hu 7.7k 1.2× 3.9k 0.9× 742 0.5× 610 0.5× 606 0.6× 379 16.3k
Yoram Salomon 5.1k 0.8× 2.4k 0.6× 766 0.6× 527 0.4× 884 0.8× 126 9.7k
Shmuel Muallem 12.1k 1.9× 4.4k 1.0× 2.8k 2.1× 2.5k 2.0× 2.4k 2.2× 276 20.1k
Günter Schultz 8.8k 1.4× 4.5k 1.1× 785 0.6× 907 0.7× 1.1k 1.1× 148 15.3k
Zhihong Huang 5.6k 0.9× 1.6k 0.4× 1.0k 0.8× 883 0.7× 532 0.5× 135 12.5k
G. Stanley McKnight 10.9k 1.7× 3.8k 0.9× 843 0.6× 359 0.3× 1.3k 1.2× 164 16.8k

Countries citing papers authored by Michael Freissmuth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Freissmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Freissmuth

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Freissmuth. A scholar is included among the top collaborators of Michael Freissmuth 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 Michael Freissmuth. Michael Freissmuth 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.
Prchal‐Murphy, Michaela, Marlene Fischer, Madeleine Themanns, et al.. (2025). Repurposing the prostaglandin analogue treprostinil and the calcium-sensing receptor modulator cinacalcet to revive cord blood as an alternate source of hematopoietic stem and progenitor cells for transplantation. Frontiers in Pharmacology. 15. 1444311–1444311. 1 indexed citations
2.
Freissmuth, Michael, et al.. (2024). Pharmakologie und Toxikologie.
3.
Niello, Marco, Michael Freissmuth, Gary Rudnick, et al.. (2024). Identification of the potassium-binding site in serotonin transporter. Proceedings of the National Academy of Sciences. 121(18). e2319384121–e2319384121. 6 indexed citations
4.
Farr, Clemens V., Ali El‐Kasaby, Walter Sandtner, et al.. (2024). Probing the Chemical Space of Guanidino-Carboxylic Acids to Identify the First Blockers of the Creatine-Transporter-1. Molecular Pharmacology. 106(6). 319–333.
5.
El‐Kasaby, Ali, Ameya Kasture, Günther Krumpl, et al.. (2024). Allosteric Inhibition and Pharmacochaperoning of the Serotonin Transporter by the Antidepressant Drugs Trazodone and Nefazodone. Molecular Pharmacology. 106(1). 56–70. 4 indexed citations
6.
Schicker, Klaus, et al.. (2023). Allosteric modulators of solute carrier function: a theoretical framework. Frontiers in Physiology. 14. 1166450–1166450. 3 indexed citations
7.
Bhat, Shreyas, Ali El‐Kasaby, Ameya Kasture, et al.. (2023). A mechanism of uncompetitive inhibition of the serotonin transporter. eLife. 12. 8 indexed citations
8.
Bhat, Shreyas, Marco Niello, Klaus Schicker, et al.. (2021). Handling of intracellular K+ determines voltage dependence of plasmalemmal monoamine transporter function. eLife. 10. 22 indexed citations
9.
Coleman, Jonathan A., et al.. (2021). Extracellular loops of the serotonin transporter act as a selectivity filter for drug binding. Journal of Biological Chemistry. 297(1). 100863–100863. 10 indexed citations
10.
Freissmuth, Michael, et al.. (2019). An Electrophysiological Approach to Measure Changes in the Membrane Surface Potential in Real Time. Biophysical Journal. 118(4). 813–825. 9 indexed citations
11.
Ilić, Marija, et al.. (2019). A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. 151(8). 1035–1050. 15 indexed citations
12.
Li, Yang, et al.. (2018). A label-free approach to detect ligand binding to cell surface proteins in real time. eLife. 7. 14 indexed citations
13.
Bhat, Shreyas, et al.. (2018). A kinetic account for amphetamine-induced monoamine release. The Journal of General Physiology. 150(3). 431–451. 23 indexed citations
14.
Sandtner, Walter, Diethart Schmid, Klaus Schicker, et al.. (2013). A quantitative model of amphetamine action on the 5‐ HT transporter. British Journal of Pharmacology. 171(4). 1007–1018. 31 indexed citations
15.
Freissmuth, Michael, Dirk Völkel, Michael Thiele, et al.. (2013). Human Anti-Macrophage Migration Inhibitory Factor Antibodies Inhibit Growth of Human Prostate Cancer Cells In Vitro and In Vivo. Molecular Cancer Therapeutics. 12(7). 1223–1234. 59 indexed citations
16.
Koehbach, Johannes, Margaret O’Brien, Markus Muttenthaler, et al.. (2013). Oxytocic plant cyclotides as templates for peptide G protein-coupled receptor ligand design. Proceedings of the National Academy of Sciences. 110(52). 21183–21188. 122 indexed citations
17.
Kastner, Stefan, et al.. (2012). Expression of G Protein-Coupled Receptor 19 in Human Lung Cancer Cells Is Triggered by Entry into S-Phase and Supports G2–M Cell-Cycle Progression. Molecular Cancer Research. 10(10). 1343–1358. 37 indexed citations
18.
Chanrion, Benjamin, Clotilde Mannoury la Cour, Federica Bertaso, et al.. (2007). Physical interaction between the serotonin transporter and neuronal nitric oxide synthase underlies reciprocal modulation of their activity. Proceedings of the National Academy of Sciences. 104(19). 8119–8124. 141 indexed citations
19.
Stoiber, Dagmar, Boris Kovačic, Christian Schuster, et al.. (2004). TYK2 is a key regulator of the surveillance of B lymphoid tumors. Journal of Clinical Investigation. 114(11). 1650–1658. 52 indexed citations
20.
Stoiber, Dagmar, Boris Kovačic, Christian Schuster, et al.. (2004). TYK2 is a key regulator of the surveillance of B lymphoid tumors. Journal of Clinical Investigation. 114(11). 1650–1658. 52 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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