Torsten Exner

449 total citations
8 papers, 396 citations indexed

About

Torsten Exner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology and Allergy. According to data from OpenAlex, Torsten Exner has authored 8 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology and Allergy. Recurrent topics in Torsten Exner's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers) and Cell Adhesion Molecules Research (2 papers). Torsten Exner is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers) and Cell Adhesion Molecules Research (2 papers). Torsten Exner collaborates with scholars based in Germany and France. Torsten Exner's co-authors include Bernd Nürnberg, Udo Maier, Daniela Leopoldt, Theodor Hanck, Reinhard Wetzker, Patricia Viard, Nathalie Macrez, Jean Mironneau, Rainer Harhammer and Ole N. Jensen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

In The Last Decade

Torsten Exner

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Exner Germany 7 334 76 54 44 44 8 396
L. Nowak United States 5 279 0.8× 78 1.0× 34 0.6× 21 0.5× 35 0.8× 6 347
Qingming Yu United States 12 416 1.2× 142 1.9× 62 1.1× 16 0.4× 42 1.0× 14 519
Amy Brown Canada 4 266 0.8× 55 0.7× 37 0.7× 35 0.8× 30 0.7× 10 364
A. Misra-Press United States 6 420 1.3× 80 1.1× 25 0.5× 19 0.4× 53 1.2× 7 598
Clive Morris United Kingdom 11 290 0.9× 42 0.6× 65 1.2× 23 0.5× 21 0.5× 16 382
P J Owen United Kingdom 11 298 0.9× 106 1.4× 50 0.9× 18 0.4× 40 0.9× 14 425
Andrew B. Fotia Australia 8 469 1.4× 89 1.2× 31 0.6× 39 0.9× 45 1.0× 10 551
Léonid Volkov Canada 12 242 0.7× 36 0.5× 23 0.4× 48 1.1× 26 0.6× 19 353
Sylwia Jones United Kingdom 6 289 0.9× 143 1.9× 33 0.6× 52 1.2× 28 0.6× 6 382
Michael Babich United States 12 208 0.6× 51 0.7× 61 1.1× 15 0.3× 17 0.4× 34 384

Countries citing papers authored by Torsten Exner

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Exner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Exner

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

All Works

8 of 8 papers shown
1.
Gaibelet, Gérald, Eliane Meilhoc, Joëlle Riond, et al.. (1999). Nonselective coupling of the human µ‐opioid receptor to multiple inhibitory G‐protein isoforms. European Journal of Biochemistry. 261(2). 517–523. 19 indexed citations
2.
Exner, Torsten, Ole N. Jensen, Matthias Mann, Christiane Kleuss, & Bernd Nürnberg. (1999). Posttranslational modification of Gα o1 generates Gα o3 , an abundant G protein in brain. Proceedings of the National Academy of Sciences. 96(4). 1327–1332. 36 indexed citations
3.
Viard, Patricia, Torsten Exner, Udo Maier, et al.. (1999). G²γ dimers stimulate vascular L‐type Ca 2+ channels via phosphoinositide 3‐kinase. The FASEB Journal. 13(6). 685–694. 101 indexed citations
4.
Leopoldt, Daniela, Theodor Hanck, Torsten Exner, et al.. (1998). Gβγ Stimulates Phosphoinositide 3-Kinase-γ by Direct Interaction with Two Domains of the Catalytic p110 Subunit. Journal of Biological Chemistry. 273(12). 7024–7029. 171 indexed citations
5.
Exner, Torsten & Bernd Nürnberg. (1998). Immuno- and Gold Staining of a Single Western Blot. Analytical Biochemistry. 260(1). 108–110. 1 indexed citations
6.
Exner, Torsten, et al.. (1997). Alkyl-Substituted Amino Acid Amides and Analogous Di- and Triamines:  New Non-Peptide G Protein Activators. Journal of Medicinal Chemistry. 40(19). 3130–3139. 24 indexed citations
7.
Nürnberg, Bernd, et al.. (1996). Species- and tissue-dependent diversity of G-protein β subunit phosphorylation: evidence for a cofactor. Biochemical Journal. 318(2). 717–722. 30 indexed citations
8.
Harhammer, Rainer, Bernd Nürnberg, Christian Harteneck, et al.. (1996). Distinct biochemical properties of the native members of the G12 G-protein subfamily. Characterization of Gα12 purified from rat brain. Biochemical Journal. 319(1). 165–171. 14 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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