G. Pöch

1.0k citations
45 papers · 836 indexed · h-index 16

Impact in

Papers in

G. Pöch

45 papers receiving 749 citations

Peers

G. Pöch
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 188
  • Physiology 39
  • Biochemistry 59
  • Physiology 185
  • Pharmacology 92
Replace A.I. Ally with:
A.I. Ally Canada
J Krall United States
Claudie Cambon France
Marilyn James-Kracke United States
Frank L. Siegel United States
Joseph L. Borowitz United States
Natalie Alexander United States
Chang‐Hyun Moon South Korea
Eiichi Hayashi Japan
Theodore A. Alston United States
G. Pöch relative to A.I. Ally Canada A.I. Ally's profile →
Citations per field
00.5×
A.I. Ally · 1×
Citations per year

Countries citing papers authored by G. Pöch

Since Specialization
Citations

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

Fields of papers citing papers by G. Pöch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside G. Pöch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Pöch Line = papers co-authored together G. Pöch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20172
2 20137
3 201112
4 201018
5 200712
6 199635
7 199520
8 199510
9 19914
10 199133
11 199022
12 199016
13
Prostacyclin increases cAMP in coronary arteries.
197949
14
Role of cyclic nucleotides in adenosine-mediated regulation of coronary flow.
197830
15
[Pharmacological Properties of Fendiline in Cardiac and Smooth Muscle (author's transl)].
19766
16
ZUM WIRKUNGSMECHANISMUS VON BENCYCLAN AN DER GLATTEN MUSKULATUR
19754
17
[The mechanism of action of bencyclane on smooth musculature].
19752
18
Effects of oxyfedrine on cardiac performance efficiency and coronary flow with respect to its mode of action.
19705
19 196641
20
Inhibition of dopamine-beta-hydroxylase by disulfiram in vivo.
1966122

About G. Pöch

G. Pöch is a scholar working on Physiology, Biochemistry, Computational Theory and Mathematics, Analytical Chemistry and Classics, having authored 45 papers that have together received 836 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (5 papers), Phosphodiesterase function and regulation (5 papers), Adenosine and Purinergic Signaling (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Neuropeptides and Animal Physiology (3 papers) and Enzyme function and inhibition (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (188 citations), Physiology (39 citations), Biochemistry (59 citations), Physiology (185 citations) and Pharmacology (92 citations). G. Pöch has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include W. R. Kukovetz, J M Musacchio, B Anagnoste, I J Kopin, S. Holzmann, M. Goldstein, H. Juan, Antje Wurm, R. J. Reiffenstein and Josef Krieglstein. Their work appears in journals such as Archives of Environmental Contamination and Toxicology, Naunyn-Schmiedeberg s Archives of Pharmacology, Canadian Journal of Physiology and Pharmacology, Biochemical Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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