Petra Pullmannová
Impact in
- Pharmaceutical Science top 1%
- Advancements in Transdermal Drug Delivery
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
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- Lipid Membrane Structure and Behavior 24
- Sphingolipid Metabolism and Signaling 10
- DNA and Nucleic Acid Chemistry 7
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 2
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- Advancements in Transdermal Drug Delivery 20
- Co-authors
- Kateřina Vávrová (21 shared papers)Andrej Kováčik (16 shared papers)J. Maixner (9 shared papers)Barbora Školová (4 shared papers)Jarmila Zbytovská (6 shared papers)Lukáš Opálka (10 shared papers)Sérgio S. Funari (9 shared papers)Daniela Uhrı́ková (9 shared papers)
In The Last Decade
Petra Pullmannová
30 papers receiving 567 citations
Peers
Comparison fields: 5 of 70
- Pharmaceutical Science 344
- Dermatology 175
- Drug Discovery 1
- Molecular Biology 363
- Organic Chemistry 122
Countries citing papers authored by Petra Pullmannová
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
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-authors
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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 69 | |
| 2 | 2017 | 58 | |
| 3 | 2014 | 47 | |
| 4 | 2019 | 31 | |
| 5 | 2018 | 29 | |
| 6 | 2020 | 29 | |
| 7 | 2011 | 25 | |
| 8 | 2014 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2022 | 16 | |
| 15 | 2012 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2012 | 13 | |
| 18 | 2017 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 10 |
About Petra Pullmannová
Petra Pullmannová is a scholar working on Molecular Biology, Pharmaceutical Science, Organic Chemistry, Dermatology and Atomic and Molecular Physics, and Optics, having authored 32 papers that have together received 569 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 (7 papers), Surfactants and Colloidal Systems (7 papers), Dermatology and Skin Diseases (7 papers), RNA Interference and Gene Delivery (4 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Pharmaceutical Science (344 citations), Dermatology (175 citations), Drug Discovery (1 citation), Molecular Biology (363 citations) and Organic Chemistry (122 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, Sérgio S. Funari, Daniela Uhrı́ková, Michaela Sochorová and Jaroslav Roh. Their work appears in journals such as Journal of Lipid Research, Biochimica et Biophysica Acta (BBA) - Biomembranes, Langmuir, Scientific Reports and Biophysical Chemistry.
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.