Frank Löhr
- Molecular Biology top 1%
- Protein Structure and Dynamics 48
- RNA and protein synthesis mechanisms 25
- Ubiquitin and proteasome pathways 10
- Spectroscopy top 1%
- Molecular spectroscopy and chirality 18
- Advanced NMR Techniques and Applications 17
- Mass Spectrometry Techniques and Applications 11
- Cell Biology top 1%
- Physiology top 1%
- Biophysics top 1%
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- Enzyme Structure and Function 27
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- Bacterial Genetics and Biotechnology 11
- Co-authors
- Volker DötschHeinz RüterjansVladimir V. RogovFrank BernhardIvan ĐikićRobert HänselAlexis RozenknopDavid G. McEwan
- Journals
- Journal of Biomolecular NMR (22 papers)Journal of the American Chemical Society (14 papers)Biochemistry (9 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Frank Löhr
149 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 4.3k
- Spectroscopy 818
- Cell Biology 768
- Physiology 200
- Biophysics 223
Countries citing papers authored by Frank Löhr
This map shows the geographic impact of Frank Löhr'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 Frank Löhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Löhr more than expected).
Fields of papers citing papers by Frank Löhr
This network shows the impact of papers produced by Frank Löhr. 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 Frank Löhr. The network helps show where Frank Löhr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Löhr, 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 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 49 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 35 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 136 | |
| 18 | 2017 | 20 | |
| 19 | 2016 | 9 | |
| 20 | 2010 | 63 |
About Frank Löhr
Frank Löhr is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 150 papers that have together received 6.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (48 papers), Enzyme Structure and Function (27 papers), RNA and protein synthesis mechanisms (25 papers), Molecular spectroscopy and chirality (18 papers), Advanced NMR Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (11 papers), Bacterial Genetics and Biotechnology (11 papers) and Ubiquitin and proteasome pathways (10 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Spectroscopy (818 citations) and Cell Biology (768 citations). Frank Löhr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Volker Dötsch, Heinz Rüterjans, Vladimir V. Rogov, Frank Bernhard, Ivan Đikić, Robert Hänsel, Alexis Rozenknop, David G. McEwan, Peter Güntert and Sina Reckel. Their work appears in journals such as Journal of Biomolecular NMR, Journal of the American Chemical Society, Biochemistry, Journal of Magnetic Resonance and Journal of Molecular 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.