Petra Pullmannová

668 citations
32 papers · 560 indexed · h-index 15

Impact in

Papers in

Petra Pullmannová

30 papers receiving 558 citations

Peers

Petra Pullmannová
Comparison fields: 5 of 70
  • Pharmaceutical Science 345
  • Dermatology 188
  • Drug Discovery 1
  • Molecular Biology 368
  • Organic Chemistry 128
Replace Daniël Groen with:
Daniël Groen Netherlands
Barbora Školová Czechia
Lukáš Opálka Czechia
Katsumi Kita Japan
Barbora Janůšová Czechia
Jens‐Peter Vietzke Germany
Rose-Marie Handjani-Vila France
Pramod P. Sarpotdar United States
G. Vanlerberghe France
S Keipert Germany
Petra Pullmannová relative to Daniël Groen Netherlands Daniël Groen's profile →
Citations per field
00.5×3.1×
Daniël Groen · 1×
Citations per year

Countries citing papers authored by Petra Pullmannová

Since Specialization
Citations

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

Fields of papers citing papers by Petra Pullmannová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 202310
5 202216
6 20216
7 202122
8 202010
9 202029
10 201931
11 201923
12 20186
13 201829
14 201756
15 201723
16 201510
17 201446
18 20122
19 201214
20 201124

About Petra Pullmannová

Petra Pullmannová is a scholar working on Pharmaceutical Science, Dermatology, Molecular Biology, Organic Chemistry and Physical and Theoretical Chemistry, having authored 32 papers that have together received 560 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (24 papers), Advancements in Transdermal Drug Delivery (20 papers), Sphingolipid Metabolism and Signaling (10 papers), DNA and Nucleic Acid Chemistry (8 papers), Surfactants and Colloidal Systems (8 papers), Dermatology and Skin Diseases (7 papers), RNA Interference and Gene Delivery (5 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Pharmaceutical Science (345 citations), Dermatology (188 citations), Drug Discovery (1 citation), Molecular Biology (368 citations) and Organic Chemistry (128 citations). Petra Pullmannová has collaborated with scholars based in Czechia, Slovakia and Germany. Frequent co-authors include Kateřina Vávrová, Andrej Kováčik, J. Maixner, Barbora Školová, Jarmila Zbytovská, Lukáš Opálka, Daniela Uhrı́ková, Michaela Sochorová, Sérgio S. Funari and Jaroslav Roh. Their work appears in journals such as Journal of Lipid Research, Biochimica et Biophysica Acta (BBA) - Biomembranes, Scientific Reports, Langmuir and Journal of Investigative Dermatology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026