Raphael Böhm
Impact in
- Endocrinology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in ⓘ
-
- Bacterial biofilms and quorum sensing 3
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- Lipid Membrane Structure and Behavior 2
- Chemical Synthesis and Analysis 2
- Co-authors
- Sebastian Hiller (11 shared papers)Badri N. Dubey (5 shared papers)Tilman Schirmer (5 shared papers)Urs Jenal (4 shared papers)Mark von Itzstein (7 shared papers)Thomas Haselhorst (6 shared papers)Timm Maier (2 shared papers)Stefan Imseng (2 shared papers)
- Journals
- Nature Communications (4 papers)ChemBioChem (2 papers)Journal of Biomolecular NMR (1 paper)Analytical Chemistry (1 paper)Cell Reports (1 paper)
- Partner nations
- SwitzerlandAustraliaGermany
In The Last Decade
Raphael Böhm
18 papers receiving 687 citations
Peers
Comparison fields: 5 of 73
- Endocrinology 68
- Cell Biology 127
- Genetics 194
- Molecular Biology 459
- Infectious Diseases 116
Countries citing papers authored by Raphael Böhm
This map shows the geographic impact of Raphael Böhm'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 Raphael Böhm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Böhm more than expected).
Fields of papers citing papers by Raphael Böhm
This network shows the impact of papers produced by Raphael Böhm. 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 Raphael Böhm. The network helps show where Raphael Böhm may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Böhm, 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 | 2015 | 144 | |
| 2 | 2015 | 107 | |
| 3 | 2014 | 90 | |
| 4 | 2015 | 71 | |
| 5 | 2021 | 51 | |
| 6 | 2014 | 41 | |
| 7 | 2020 | 39 | |
| 8 | 2019 | 31 | |
| 9 | 2012 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2020 | 21 | |
| 12 | 2023 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2009 | 1 | |
| 19 | 2025 | 0 |
About Raphael Böhm
Raphael Böhm is a scholar working on Endocrinology, Molecular Biology, Genetics, Hepatology and Cell Biology, having authored 19 papers that have together received 693 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Influenza Virus Research Studies (4 papers), Bacterial biofilms and quorum sensing (3 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Lipid Membrane Structure and Behavior (2 papers), Bacteriophages and microbial interactions (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Endocrinology (68 citations), Cell Biology (127 citations), Genetics (194 citations), Molecular Biology (459 citations) and Infectious Diseases (116 citations). Raphael Böhm has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Sebastian Hiller, Badri N. Dubey, Tilman Schirmer, Urs Jenal, Mark von Itzstein, Thomas Haselhorst, Timm Maier, Stefan Imseng, Christian Lori and Sabine Steiner. Their work appears in journals such as Nature Communications, ChemBioChem, Journal of Biomolecular NMR, Analytical Chemistry and Cell Reports.
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.