Lisa Klug
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Fungal and yeast genetics research 3
- Lipid Membrane Structure and Behavior 2
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- Lipid metabolism and biosynthesis 4
- Co-authors
- Günther Daum (9 shared papers)Mario F. Feldman (2 shared papers)Joachim Reidl (2 shared papers)Sandro Roier (2 shared papers)Ruth Prassl (2 shared papers)Stefan Schild (2 shared papers)Fatih Çakar (1 shared paper)Bernhard Gadermaier (1 shared paper)
- Journals
- FEMS Yeast Research (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)Molecular Biology of the Cell (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)PLoS Genetics (1 paper)
- Partner nations
- AustriaCanadaSwitzerland
In The Last Decade
Lisa Klug
10 papers receiving 1.0k citations
Lisa Klug's Hit Papers
Peers
Comparison fields: 5 of 90
- Microbiology 269
- Aging 74
- Endocrinology 85
- Biochemistry 102
- Molecular Biology 650
Countries citing papers authored by Lisa Klug
This map shows the geographic impact of Lisa Klug'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 Lisa Klug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Klug more than expected).
Fields of papers citing papers by Lisa Klug
This network shows the impact of papers produced by Lisa Klug. 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 Lisa Klug. The network helps show where Lisa Klug may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Klug, 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 | A novel mechanism for the biogenesis of outer membrane vesicles in Gram-negative bacteria Hit paper breakdown → | 2016 | 376 |
| 2 | 2014 | 256 | |
| 3 | 2014 | 166 | |
| 4 | 2012 | 64 | |
| 5 | 2014 | 48 | |
| 6 | 2014 | 46 | |
| 7 | 2013 | 30 | |
| 8 | 2020 | 19 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 6 |
About Lisa Klug
Lisa Klug is a scholar working on Molecular Biology, Biochemistry, Epidemiology, Cell Biology and Microbiology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (4 papers), Fungal and yeast genetics research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Pneumonia and Respiratory Infections (2 papers), Cellular transport and secretion (2 papers), Bacterial Infections and Vaccines (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Microbiology (269 citations), Aging (74 citations), Endocrinology (85 citations), Biochemistry (102 citations) and Molecular Biology (650 citations). Lisa Klug has collaborated with scholars based in Austria, Canada and Switzerland. Frequent co-authors include Günther Daum, Mario F. Feldman, Joachim Reidl, Sandro Roier, Ruth Prassl, Stefan Schild, Fatih Çakar, Bernhard Gadermaier, Achim Lass and Paul Kohl. Their work appears in journals such as FEMS Yeast Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Molecular Biology of the Cell, Biochimica et Biophysica Acta (BBA) - Biomembranes and PLoS Genetics.
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.