V. Pliška

714 total citations
21 papers, 567 citations indexed

About

V. Pliška is a scholar working on Molecular Biology, Social Psychology and Organic Chemistry. According to data from OpenAlex, V. Pliška has authored 21 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Social Psychology and 4 papers in Organic Chemistry. Recurrent topics in V. Pliška's work include Neuroendocrine regulation and behavior (9 papers), Receptor Mechanisms and Signaling (7 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). V. Pliška is often cited by papers focused on Neuroendocrine regulation and behavior (9 papers), Receptor Mechanisms and Signaling (7 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). V. Pliška collaborates with scholars based in Switzerland, United States and Czechia. V. Pliška's co-authors include Christina Hofmann, Peter Lüthy, Ralf Hütter, R M Zinkernagel, Hans Hengartner, Magdalena Bachmann, Andreas F. Haag, Ulrich Kalinke, Hans-Peter Roost and Howard Sachs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

V. Pliška

21 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Pliška Switzerland 9 324 164 122 98 93 21 567
S.J. Goodson United Kingdom 8 542 1.7× 327 2.0× 60 0.5× 10 0.1× 170 1.8× 11 893
Andrew R. Burns Canada 10 242 0.7× 36 0.2× 43 0.4× 15 0.2× 75 0.8× 14 706
RF Riek Australia 13 361 1.1× 59 0.4× 27 0.2× 13 0.1× 49 0.5× 20 691
Catherine A. McLellan United States 16 472 1.5× 38 0.2× 48 0.4× 7 0.1× 180 1.9× 31 976
Nathalie de la Cotte France 13 414 1.3× 16 0.1× 47 0.4× 225 2.3× 14 0.2× 20 663
Gérard Batelier France 11 635 2.0× 29 0.2× 37 0.3× 21 0.2× 20 0.2× 12 740
Paula MacGregor United Kingdom 17 423 1.3× 202 1.2× 134 1.1× 6 0.1× 36 0.4× 26 1.0k
Lenka Borovičková Czechia 10 260 0.8× 130 0.8× 45 0.4× 55 0.6× 8 0.1× 26 481
Mary Scanlon United States 11 276 0.9× 45 0.3× 56 0.5× 9 0.1× 29 0.3× 19 539
Elizabeth M. Newton United States 13 422 1.3× 18 0.1× 52 0.4× 8 0.1× 16 0.2× 18 797

Countries citing papers authored by V. Pliška

Since Specialization
Citations

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

Fields of papers citing papers by V. Pliška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Pliška

This figure shows the co-authorship network connecting the top 25 collaborators of V. Pliška. A scholar is included among the top collaborators of V. Pliška 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 V. Pliška. V. Pliška 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.
Pliška, V., Gerd Folkers, & Vojtěch Spiwok. (2014). Thermodynamics of the interaction between oxytocin and its myometrial receptor in sheep: A stepwise binding mechanism. Biochemical Pharmacology. 91(1). 119–127. 4 indexed citations
2.
Pliška, V.. (2010). Thermodynamic descriptors, profiles and driving forces in membrane receptor-ligand interactions. Journal of Receptors and Signal Transduction. 30(6). 454–468. 2 indexed citations
3.
Stewart, Alistair, et al.. (2003). Uterine contractile response to the graded infusion of oxytocin in guinea pigs near term. American Journal of Obstetrics and Gynecology. 189(1). 201–207. 3 indexed citations
4.
Arnold, Myrtha, et al.. (1998). A Rapid Assay for Tyrosine Hydroxylase Activity, an Indicator of Chronic Stress in Laboratory and Domestic Animals. Biological Chemistry. 379(1). 59–63. 5 indexed citations
5.
Pliška, V.. (1997). Thermodynamic Parameters of Ligand-Receptor Interactions: Computation and Error Margins. Journal of Receptors and Signal Transduction. 17(1-3). 495–510. 4 indexed citations
6.
Pliška, V.. (1995). Minireview: Multiple receptor populations: Binding isotherms and their numerical analysis. Journal of Receptors and Signal Transduction. 15(1-4). 651–675. 8 indexed citations
7.
Roost, Hans-Peter, Magdalena Bachmann, Andreas F. Haag, et al.. (1995). Early high-affinity neutralizing anti-viral IgG responses without further overall improvements of affinity.. Proceedings of the National Academy of Sciences. 92(5). 1257–1261. 154 indexed citations
8.
Pliška, V.. (1994). Models to explain dose-response relationships that exhibit a downturn phase. Trends in Pharmacological Sciences. 15(6). 178–181. 43 indexed citations
9.
Pliška, V. & Marvin Charton. (1991). Antagonists as “Affinity Probes” for Peptide Hormone Receptors: Qsar Studies on Oxytocin Receptor in the Rat Myometrium. Journal of Receptor Research. 11(1-4). 59–78. 2 indexed citations
10.
Pliška, V., et al.. (1991). Effect of Mg2+ on the binding of oxytocin to sheep myometrial cells. Biochemical Journal. 277(1). 97–101. 14 indexed citations
11.
Crankshaw, Denis, et al.. (1990). Multiple [3H]-Oxytocin Binding Sites in Rat Myometrial Plasma Membranes. Journal of Receptor Research. 10(5-6). 269–285. 23 indexed citations
12.
Hofmann, Christina, Peter Lüthy, Ralf Hütter, & V. Pliška. (1988). Binding of the delta endotoxin from Bacillus thuringiensis to brush‐border membrane vesicles of the cabbage butterfly (Pieris brassicae). European Journal of Biochemistry. 173(1). 85–91. 199 indexed citations
13.
Pliška, V., et al.. (1986). Binding of oxytocin to uterine cells in vitro. Occurrence of several binding site populations and reidentification of oxytocin receptors.. Journal of Biological Chemistry. 261(36). 16984–16989. 44 indexed citations
14.
15.
Pliška, V.. (1983). Displacement Reactions Employing Heterologous Tracer Ligands in Peptide Receptor Studies: A Review. Journal of Receptor Research. 3(1-2). 227–238. 2 indexed citations
16.
Pliška, V., et al.. (1980). Long term stability of lysine vasopressin and of specifically tritiated lysine vasopressin in weakly acidic aqueous solutions. Cellular and Molecular Life Sciences. 36(10). 1145–1146. 1 indexed citations
17.
Pliška, V. & Howard Sachs. (1974). The Interaction of Lysine Vasopressin with Free and Agarose‐Bound Bovine Neurophysin II. European Journal of Biochemistry. 41(2). 229–239. 22 indexed citations
18.
Vepřek-Šiška, J., et al.. (1959). Anorganische Stickstoffverbindungen V. Reaktionen des Nitrohydroxylaminats mit zweiwertigen Kationen. Collection of Czechoslovak Chemical Communications. 24(11). 3548–3552. 1 indexed citations
19.
Vepřek-Šiška, J., et al.. (1959). Anorganische Stickstoffverbindungen III. Trennung anorganischer Stickstoffverbindungen mittels Papieriontophorese. Collection of Czechoslovak Chemical Communications. 24(5). 1385–1388. 1 indexed citations
20.
Vepřek-Šiška, J., et al.. (1959). Anorganische Stickstoffverbindungen I. Zersetzungsmechanismus wässriger Lösungen des Natriumsalzes der Nitrohydroxylaminsäure. Collection of Czechoslovak Chemical Communications. 24(3). 687–693. 9 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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