Raphael Böhm
Impact in
- Endocrinology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 3
- Lipid Membrane Structure and Behavior 2
-
- Influenza Virus Research Studies 6
- Respiratory viral infections research 4
- Co-authors
- Sebastian Hiller (12 shared papers)Badri N. Dubey (5 shared papers)Tilman Schirmer (5 shared papers)Urs Jenal (4 shared papers)Mark von Itzstein (9 shared papers)Thomas Haselhorst (8 shared papers)Stefan Imseng (2 shared papers)Timm Maier (2 shared papers)
- Journals
- Nature Communications (4 papers)ChemBioChem (2 papers)Journal of Medicinal Chemistry (2 papers)Structure (1 paper)Nature (1 paper)
- Partner nations
- SwitzerlandAustraliaGermany
In The Last Decade
Raphael Böhm
23 papers receiving 755 citations
Peers
Comparison fields: 5 of 75
- Endocrinology 69
- Cell Biology 125
- Molecular Biology 496
- Genetics 200
- Infectious Diseases 118
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2015 | 106 | |
| 3 | 2014 | 96 | |
| 4 | 2015 | 75 | |
| 5 | 2021 | 61 | |
| 6 | 2014 | 48 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 33 | |
| 9 | 2019 | 32 | |
| 10 | 2012 | 30 | |
| 11 | 2020 | 25 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 11 | |
| 14 | 2012 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2009 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2025 | 2 | |
| 20 | 2014 | 2 |
About Raphael Böhm
Raphael Böhm is a scholar working on Molecular Biology, Epidemiology, Genetics, Cell Biology and Infectious Diseases, having authored 23 papers that have together received 769 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Bacterial Genetics and Biotechnology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Respiratory viral infections research (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology (69 citations), Cell Biology (125 citations), Molecular Biology (496 citations), Genetics (200 citations) and Infectious Diseases (118 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, Stefan Imseng, Timm Maier, Sören Abel and Sabine Steiner. Their work appears in journals such as Nature Communications, ChemBioChem, Journal of Medicinal Chemistry, Structure and Nature.
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.