Jens Meiler
Impact in
- Molecular Biology top 0.2%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- Structural Biology top 1%
Papers in
-
- Protein Structure and Dynamics 115
- Receptor Mechanisms and Signaling 74
- RNA and protein synthesis mechanisms 55
- Ion channel regulation and function 31
- Biophysics 25
- Co-authors
- David BakerSandeepkumar KothiwaleEdward W. LoweGregory SliwoskiChristian GriesingerGordon LemmonHassane S. MchaourabNathan Alexander
- Journals
- PLoS ONE (21 papers)Structure (18 papers)Proteins Structure Function and Bioinformatics (16 papers)Proceedings of the National Academy of Sciences (16 papers)PLoS Computational Biology (14 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jens Meiler
422 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 11.7k
- Structural Biology 217
- Computational Theory and Mathematics 2.4k
- Biophysics 771
- Spectroscopy 2.1k
Countries citing papers authored by Jens Meiler
This map shows the geographic impact of Jens Meiler'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 Jens Meiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Meiler more than expected).
Fields of papers citing papers by Jens Meiler
This network shows the impact of papers produced by Jens Meiler. 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 Jens Meiler. The network helps show where Jens Meiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jens Meiler, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 43 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 18 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 76 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 71 | |
| 16 | 2017 | 27 | |
| 17 | 2016 | 44 | |
| 18 | 2015 | 81 | |
| 19 | 2010 | 309 | |
| 20 | 2003 | 94 |
About Jens Meiler
Jens Meiler is a scholar working on Molecular Biology, Biophysics, Structural Biology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 447 papers that have together received 16.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (115 papers), Receptor Mechanisms and Signaling (74 papers), RNA and protein synthesis mechanisms (55 papers), Computational Drug Discovery Methods (55 papers), Enzyme Structure and Function (47 papers), Monoclonal and Polyclonal Antibodies Research (44 papers), Ion channel regulation and function (31 papers) and Neuropeptides and Animal Physiology (31 papers). The work is most often cited by research in Molecular Biology (11.7k citations), Structural Biology (217 citations), Computational Theory and Mathematics (2.4k citations), Biophysics (771 citations) and Spectroscopy (2.1k citations). Jens Meiler has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David Baker, Sandeepkumar Kothiwale, Edward W. Lowe, Gregory Sliwoski, Christian Griesinger, Gordon Lemmon, Hassane S. Mchaourab, Nathan Alexander, Nils Woetzel and Wolfgang Peti. Their work appears in journals such as PLoS ONE, Structure, Proteins Structure Function and Bioinformatics, Proceedings of the National Academy of Sciences and PLoS Computational Biology.
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.