Thomas Lemmin
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Prion Diseases and Protein Misfolding
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Protein Structure and Dynamics 12
- Lipid Membrane Structure and Behavior 4
- Glycosylation and Glycoproteins Research 3
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Matteo Dal Peraro (10 shared papers)William F. DeGrado (9 shared papers)Ce Zhang (3 shared papers)Cinque Soto (5 shared papers)Yibing Wu (3 shared papers)Jan Stöhr (3 shared papers)Laurence Abrami (1 shared paper)Stanley B. Prusiner (3 shared papers)
- Journals
- Nature Communications (6 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Chemistry (3 papers)Journal of the American Chemical Society (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Thomas Lemmin
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 875
- Physiology 288
- Cell Biology 146
- Virology 38
- Computational Theory and Mathematics 141
Countries citing papers authored by Thomas Lemmin
This map shows the geographic impact of Thomas Lemmin'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 Thomas Lemmin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lemmin more than expected).
Fields of papers citing papers by Thomas Lemmin
This network shows the impact of papers produced by Thomas Lemmin. 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 Thomas Lemmin. The network helps show where Thomas Lemmin may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lemmin, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 142 | |
| 2 | 2018 | 114 | |
| 3 | 2014 | 92 | |
| 4 | 2017 | 88 | |
| 5 | 2020 | 87 | |
| 6 | 2016 | 84 | |
| 7 | 2016 | 79 | |
| 8 | 2013 | 76 | |
| 9 | 2017 | 55 | |
| 10 | 2015 | 53 | |
| 11 | 2017 | 52 | |
| 12 | 2013 | 38 | |
| 13 | 2014 | 33 | |
| 14 | 2017 | 33 | |
| 15 | 2012 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2020 | 21 | |
| 19 | 2016 | 19 | |
| 20 | 2017 | 18 |
About Thomas Lemmin
Thomas Lemmin is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Physiology and Spectroscopy, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Bacterial Genetics and Biotechnology (6 papers), Enzyme Structure and Function (5 papers), Alzheimer's disease research and treatments (5 papers), Computational Drug Discovery Methods (4 papers), Lipid Membrane Structure and Behavior (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (875 citations), Physiology (288 citations), Cell Biology (146 citations), Virology (38 citations) and Computational Theory and Mathematics (141 citations). Thomas Lemmin has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Matteo Dal Peraro, William F. DeGrado, Ce Zhang, Cinque Soto, Yibing Wu, Jan Stöhr, Laurence Abrami, Stanley B. Prusiner, Asvin KK Lakkaraju and Sanja Blašković. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Nature Chemistry, Journal of the American Chemical Society and Journal of Chemical Information and Modeling.
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.