Marion Herrmann
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- DNA Repair Mechanisms
- Bioinformatics and Genomic Networks
- Mitochondrial Function and Pathology
- Connexins and lens biology
Papers in
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- Bioinformatics and Genomic Networks 3
- Metabolomics and Mass Spectrometry Studies 2
- Connexins and lens biology 2
- Heat shock proteins research 1
- S100 Proteins and Annexins 1
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Joachim Klose (7 shared papers)Katrin Marcus (3 shared papers)Heinz Himmelbauer (2 shared papers)Martin Blüggel (1 shared paper)Kai Stühler (1 shared paper)Hans Lehrach (1 shared paper)Eberhard Krause (1 shared paper)Konrad Büssow (1 shared paper)
- Journals
- PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)PROTEOMICS (1 paper)The Plant Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomBrazil
In The Last Decade
Marion Herrmann
8 papers receiving 385 citations
Peers
Comparison fields: 5 of 75
- Spectroscopy 129
- Molecular Biology 292
- Cell Biology 42
- Genetics 51
- Cancer Research 23
Countries citing papers authored by Marion Herrmann
This map shows the geographic impact of Marion Herrmann'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 Marion Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Herrmann more than expected).
Fields of papers citing papers by Marion Herrmann
This network shows the impact of papers produced by Marion Herrmann. 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 Marion Herrmann. The network helps show where Marion Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Herrmann, 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 | 2002 | 251 | |
| 2 | 2017 | 35 | |
| 3 | 2003 | 32 | |
| 4 | 2007 | 29 | |
| 5 | 2007 | 20 | |
| 6 | 2006 | 20 | |
| 7 | 2009 | 6 | |
| 8 | 2013 | 4 |
About Marion Herrmann
Marion Herrmann is a scholar working on Molecular Biology, Spectroscopy, Clinical Biochemistry, Cell Biology and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Connexins and lens biology (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Heat shock proteins research (1 paper), S100 Proteins and Annexins (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Spectroscopy (129 citations), Molecular Biology (292 citations), Cell Biology (42 citations), Genetics (51 citations) and Cancer Research (23 citations). Marion Herrmann has collaborated with scholars based in Germany, United Kingdom and Brazil. Frequent co-authors include Joachim Klose, Katrin Marcus, Heinz Himmelbauer, Martin Blüggel, Kai Stühler, Hans Lehrach, Eberhard Krause, Konrad Büssow, Leonard C. Schalkwyk and Steve D. M. Brown. Their work appears in journals such as PROTEOMICS - CLINICAL APPLICATIONS, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, PROTEOMICS, The Plant Journal and PLoS ONE.
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.