Marc Herrmann
Impact in
- Hepatology top 10%
- Liver physiology and pathology
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- Wnt/β-catenin signaling in development and cancer 2
- Cancer-related gene regulation 2
- Kruppel-like factors research 1
- RNA Interference and Gene Delivery 1
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- Microfluidic and Bio-sensing Technologies 4
- Microfluidic and Capillary Electrophoresis Applications 4
- Innovative Microfluidic and Catalytic Techniques Innovation 3
- Co-authors
- Maryam Tabrizian (4 shared papers)Teodor Veres (3 shared papers)Philippe Merle (3 shared papers)Shinji Tanaka (2 shared papers)Suzanne de la Monte (2 shared papers)Jack R. Wands (2 shared papers)Miran Kim (2 shared papers)Annette von dem Bussche (1 shared paper)
In The Last Decade
Marc Herrmann
9 papers receiving 586 citations
Peers
Comparison fields: 5 of 65
- Hepatology 64
- Molecular Biology 377
- Biomedical Engineering 190
- Cancer Research 62
- Oncology 83
Countries citing papers authored by Marc Herrmann
This map shows the geographic impact of Marc 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 Marc Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Herrmann more than expected).
Fields of papers citing papers by Marc Herrmann
This network shows the impact of papers produced by Marc 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 Marc Herrmann. The network helps show where Marc Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc 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 | 2004 | 202 | |
| 2 | 2005 | 126 | |
| 3 | 2006 | 95 | |
| 4 | 2007 | 54 | |
| 5 | 1997 | 49 | |
| 6 | 2008 | 42 | |
| 7 | 2003 | 11 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 4 |
About Marc Herrmann
Marc Herrmann is a scholar working on Molecular Biology, Biomedical Engineering, Condensed Matter Physics, Statistical and Nonlinear Physics and Oncology, having authored 9 papers that have together received 593 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), Kruppel-like factors research (1 paper), Virus-based gene therapy research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Hepatology (64 citations), Molecular Biology (377 citations), Biomedical Engineering (190 citations), Cancer Research (62 citations) and Oncology (83 citations). Marc Herrmann has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Maryam Tabrizian, Teodor Veres, Philippe Merle, Shinji Tanaka, Suzanne de la Monte, Jack R. Wands, Miran Kim, Annette von dem Bussche, Christian Trépo and Michael C. Kew. Their work appears in journals such as Lab on a Chip, Physica D Nonlinear Phenomena, Journal of Hepatology, Analytical Chemistry and Gene Therapy.
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.