Georg Pabst
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 1%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- RNA Interference and Gene Delivery
Papers in
- Microbiology 18
- Antimicrobial Peptides and Activities 18
-
- Lipid Membrane Structure and Behavior 108
- Protein Structure and Dynamics 33
- RNA Interference and Gene Delivery 11
- Co-authors
- Michael RappoltPeter LaggnerHeinz AmenitschKarl LohnerJohn KatsarasDrew MarquardtV. A. RaghunathanSabine Danner
- Journals
- Biophysical Journal (28 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (12 papers)Langmuir (9 papers)Soft Matter (7 papers)Chemistry and Physics of Lipids (6 papers)
- Partner nations
- AustriaUnited StatesFrance
In The Last Decade
Georg Pabst
122 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 139
- Microbiology 679
- Molecular Biology 4.1k
- Biomaterials 513
- Pharmaceutical Science 219
- Atomic and Molecular Physics, and Optics 1.0k
Countries citing papers authored by Georg Pabst
This map shows the geographic impact of Georg Pabst'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 Georg Pabst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Pabst more than expected).
Fields of papers citing papers by Georg Pabst
This network shows the impact of papers produced by Georg Pabst. 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 Georg Pabst. The network helps show where Georg Pabst may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Pabst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 32 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 35 | |
| 14 | 2016 | 13 | |
| 15 | 2014 | 25 | |
| 16 | 2011 | 18 | |
| 17 | 2009 | 12 | |
| 18 | 2008 | 9 | |
| 19 | 2008 | 132 | |
| 20 | 2007 | 85 |
About Georg Pabst
Georg Pabst is a scholar working on Microbiology, Molecular Biology, Physical and Theoretical Chemistry, Biomaterials and Atomic and Molecular Physics, and Optics, having authored 124 papers that have together received 5.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (108 papers), Protein Structure and Dynamics (33 papers), Antimicrobial Peptides and Activities (18 papers), Nanopore and Nanochannel Transport Studies (17 papers), Surfactants and Colloidal Systems (16 papers), Spectroscopy and Quantum Chemical Studies (16 papers), RNA Interference and Gene Delivery (11 papers) and Force Microscopy Techniques and Applications (10 papers). The work is most often cited by research in Microbiology (679 citations), Molecular Biology (4.1k citations), Biomaterials (513 citations), Pharmaceutical Science (219 citations) and Atomic and Molecular Physics, and Optics (1.0k citations). Georg Pabst has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Michael Rappolt, Peter Laggner, Heinz Amenitsch, Karl Lohner, John Katsaras, Drew Marquardt, V. A. Raghunathan, Sabine Danner, Frederick A. Heberle and Aden Hodžić. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Langmuir, Soft Matter and Chemistry and Physics of Lipids.
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.