Markus Hoffmann
Impact in
- Biophysics top 10%
- Electron Spin Resonance Studies
Papers in
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- Cancer-related molecular mechanisms research 2
-
- Electron Spin Resonance Studies 2
- Co-authors
- Harry L. Anderson (4 shared papers)Wolfgang Haiss (1 shared paper)Gita Sedghi (1 shared paper)Simon J. Higgins (1 shared paper)Louisa J. Esdaile (1 shared paper)Richard John Nichols (1 shared paper)Donald Bethell (1 shared paper)Christiane R. Timmel (2 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Scientific Reports (3 papers)Bioinformatics (2 papers)Nucleic Acids Research (2 papers)PROTEOMICS (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Markus Hoffmann
17 papers receiving 474 citations
Peers
Comparison fields: 5 of 60
- Biophysics 42
- Electrochemistry 37
- Materials Chemistry 224
- Electrical and Electronic Engineering 228
- Physical and Theoretical Chemistry 28
Countries citing papers authored by Markus Hoffmann
This map shows the geographic impact of Markus Hoffmann'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 Markus Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hoffmann more than expected).
Fields of papers citing papers by Markus Hoffmann
This network shows the impact of papers produced by Markus Hoffmann. 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 Markus Hoffmann. The network helps show where Markus Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Hoffmann, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 219 | |
| 2 | 2017 | 92 | |
| 3 | 2009 | 67 | |
| 4 | 2022 | 17 | |
| 5 | 2024 | 17 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2025 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2007 | 0 |
About Markus Hoffmann
Markus Hoffmann is a scholar working on Cancer Research, Biophysics, Molecular Biology, Computational Theory and Mathematics and Structural Biology, having authored 22 papers that have together received 496 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (3 papers), Force Microscopy Techniques and Applications (2 papers), Electron Spin Resonance Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), RNA Research and Splicing (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Biophysics (42 citations), Electrochemistry (37 citations), Materials Chemistry (224 citations), Electrical and Electronic Engineering (228 citations) and Physical and Theoretical Chemistry (28 citations). Markus Hoffmann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Harry L. Anderson, Wolfgang Haiss, Gita Sedghi, Simon J. Higgins, Louisa J. Esdaile, Richard John Nichols, Donald Bethell, Christiane R. Timmel, Arjen Cnossen and Markus List. Their work appears in journals such as Journal of the American Chemical Society, Scientific Reports, Bioinformatics, Nucleic Acids Research and PROTEOMICS.
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.