Lars Kuerschner
Impact in
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Lipid metabolism and biosynthesis 8
- Co-authors
- Christoph ThieleChristine MoessingerRobert G. PartonAndrej ShevchenkoJohanna SpandlKurt I. AndersonAnne GaeblerWeihua Fei
- Journals
- Journal of Lipid Research (7 papers)The Journal of Cell Biology (2 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)Nature Methods (1 paper)
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Lars Kuerschner
30 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Biochemistry 867
- Cell Biology 522
- Molecular Biology 1.6k
- Physiology 434
- Biophysics 73
Countries citing papers authored by Lars Kuerschner
This map shows the geographic impact of Lars Kuerschner'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 Lars Kuerschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Kuerschner more than expected).
Fields of papers citing papers by Lars Kuerschner
This network shows the impact of papers produced by Lars Kuerschner. 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 Lars Kuerschner. The network helps show where Lars Kuerschner may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Kuerschner, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 57 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 31 | |
| 9 | 2016 | 66 | |
| 10 | 2016 | 45 | |
| 11 | 2016 | 22 | |
| 12 | 2013 | 59 | |
| 13 | 2013 | 70 | |
| 14 | 2012 | 25 | |
| 15 | 2011 | 234 | |
| 16 | 2010 | 103 | |
| 17 | 2007 | 345 | |
| 18 | 2004 | 149 | |
| 19 | 2002 | 14 | |
| 20 | 2002 | 130 |
About Lars Kuerschner
Lars Kuerschner is a scholar working on Biochemistry, Structural Biology, Biophysics, Molecular Biology and Cell Biology, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (8 papers), Lipid Membrane Structure and Behavior (6 papers), Click Chemistry and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Adipose Tissue and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Biochemistry (867 citations), Cell Biology (522 citations), Molecular Biology (1.6k citations), Physiology (434 citations) and Biophysics (73 citations). Lars Kuerschner has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Christoph Thiele, Christine Moessinger, Robert G. Parton, Andrej Shevchenko, Johanna Spandl, Kurt I. Anderson, Anne Gaebler, Weihua Fei, Guanghou Shui and Ximing Du. Their work appears in journals such as Journal of Lipid Research, The Journal of Cell Biology, Scientific Reports, Journal of Biological Chemistry and Nature Methods.
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.