Robert Ahrends
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 32
- Mass Spectrometry Techniques and Applications 20
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 27
- Sphingolipid Metabolism and Signaling 7
- Lipid Membrane Structure and Behavior 7
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 8
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 6
- Cellular transport and secretion 5
- Analytical Chemistry top 5%
- Co-authors
- Cristina ComanMary N. TeruelAlbert SickmannRené P. ZahediBing PengMichael LinscheidAndreas HentschelDominik Kopczynski
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Robert Ahrends
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 117
- Spectroscopy 797
- Molecular Biology 1.7k
- Biochemistry 162
- Cell Biology 218
- Analytical Chemistry 99
Countries citing papers authored by Robert Ahrends
This map shows the geographic impact of Robert Ahrends'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 Robert Ahrends with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ahrends more than expected).
Fields of papers citing papers by Robert Ahrends
This network shows the impact of papers produced by Robert Ahrends. 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 Robert Ahrends. The network helps show where Robert Ahrends may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Ahrends, 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 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 53 | |
| 11 | 2020 | 61 | |
| 12 | 2019 | 144 | |
| 13 | 2017 | 85 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 109 | |
| 16 | 2015 | 11 | |
| 17 | 2012 | 69 | |
| 18 | 2011 | 29 | |
| 19 | 2007 | 132 | |
| 20 | 2006 | 40 |
About Robert Ahrends
Robert Ahrends is a scholar working on Spectroscopy, Biochemistry, Molecular Biology, Cell Biology and Hematology, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (32 papers), Metabolomics and Mass Spectrometry Studies (27 papers), Mass Spectrometry Techniques and Applications (20 papers), Lipid metabolism and biosynthesis (8 papers), Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Spectroscopy (797 citations), Molecular Biology (1.7k citations), Biochemistry (162 citations), Cell Biology (218 citations) and Analytical Chemistry (99 citations). Robert Ahrends has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Cristina Coman, Mary N. Teruel, Albert Sickmann, René P. Zahedi, Bing Peng, Michael Linscheid, Andreas Hentschel, Dominik Kopczynski, Byung Ouk Park and Nils Hoffmann. Their work appears in journals such as Analytical Chemistry, PROTEOMICS, Scientific Reports, Cell Reports and Journal of Lipid Research.
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.