Jana Gallová

478 citations
30 papers · 404 indexed · h-index 11

Jana Gallová

30 papers receiving 396 citations

Peers

Jana Gallová
Comparison fields: 5 of 72
  • Molecular Biology 334
  • Organic Chemistry 102
  • Biomaterials 37
  • Atomic and Molecular Physics, and Optics 86
  • Microbiology 16
Replace Carlos R. Benatti with:
Carlos R. Benatti Brazil
Martina Dubničková Slovakia
Clare L. Armstrong Canada
Parkson L.-G. Chong United States
V. V. Kumar India
Naofumi Shimokawa Japan
Dorit R. Gauger Germany
Philipus J. Patty Indonesia
Alekos Tsamaloukas Switzerland
Adéla Melcrová Czechia
Jana Gallová relative to Carlos R. Benatti Brazil Carlos R. Benatti's profile →
Citations per field
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Carlos R. Benatti · 1×
Citations per year

Countries citing papers authored by Jana Gallová

Since Specialization
Citations

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

Fields of papers citing papers by Jana Gallová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jana Gallová, 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 Jana Gallová Line = papers co-authored together Jana Gallová links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 20202
3 201912
4 20175
5 20155
6 201122
7 201024
8 201012
9 20101
10 200993
11 200831
12 200437
13
Effect of Cholesterol on the Bilayer Thickness in Unilamellar Diacylphosphatidylcholine Vesicles: A Small-Angle Neutron Scattering Study
20021
14 19983
15 19975
16 19955
17
Interaction of [2-(alkyloxy)-phenyl]-2-(1-piperidinyl)ethyl esters of carbamic acid with dipalmitoylphosphatidylglycerol model membranes: a calorimetric study.
199310
18
Calorimetric study of the interaction of local anesthetics and beta-blockers, [2-(alkyloxy)phenyl]-2-(1-piperidinyl)ethyl esters of carbamic acid, with dipalmitoylphosphatidylcholine liposomes.
19922
19 199024
20
pH-dependent effects of local anaesthetics in perturbing lipid membranes.
19876

About Jana Gallová

Jana Gallová is a scholar working on Physical and Theoretical Chemistry, Molecular Biology and Organic Chemistry, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (27 papers), Surfactants and Colloidal Systems (7 papers), Sphingolipid Metabolism and Signaling (7 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Protein Structure and Dynamics (3 papers), RNA Interference and Gene Delivery (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and thermodynamics and calorimetric analyses (3 papers). The work is most often cited by research in Molecular Biology (334 citations), Organic Chemistry (102 citations) and Biomaterials (37 citations). Jana Gallová has collaborated with scholars based in Slovakia, Russia and France. Frequent co-authors include Pavol Balgavý, Daniela Uhrı́ková, Norbert Kučerka, J. Teixeira, ‪Siewert J. Marrink, John Katsaras, Monica Bulacu, Ferdinand Devı́nsky, Akhmed Islamov and A. I. Kuklin.

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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