Tanja Herrmann
Impact in
- Microbiology top 10%
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Protein purification and stability 1
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Co-authors
- Ralf Bialek (2 shared papers)Udo Reischl (1 shared paper)Gloria M. González (1 shared paper)Rolando Tijerina (1 shared paper)Jan Marco Kern (1 shared paper)Katja Siegers (1 shared paper)Dominique Poujol (1 shared paper)Yvonne Stark (1 shared paper)
- Journals
- Journal of Clinical Microbiology (2 papers)Chemical Communications (1 paper)Frontiers in Molecular Neuroscience (1 paper)mAbs (1 paper)European Journal of Organic Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesMexico
In The Last Decade
Tanja Herrmann
11 papers receiving 385 citations
Peers
Comparison fields: 5 of 65
- Microbiology 10
- Radiology, Nuclear Medicine and Imaging 157
- Infectious Diseases 78
- Epidemiology 107
- Catalysis 23
Countries citing papers authored by Tanja Herrmann
This map shows the geographic impact of Tanja 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 Tanja Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Herrmann more than expected).
Fields of papers citing papers by Tanja Herrmann
This network shows the impact of papers produced by Tanja 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 Tanja Herrmann. The network helps show where Tanja Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanja 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 | 2013 | 153 | |
| 2 | 2004 | 78 | |
| 3 | 2003 | 43 | |
| 4 | 2008 | 31 | |
| 5 | 2011 | 31 | |
| 6 | 2021 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2019 | 15 | |
| 9 | 2022 | 7 | |
| 10 | 2017 | 4 | |
| 11 | 2019 | 2 |
About Tanja Herrmann
Tanja Herrmann is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 11 papers that have together received 402 indexed citations. Recurring topics across this work include Fungal Infections and Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Nanomaterials for catalytic reactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Microbiology (10 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Infectious Diseases (78 citations), Epidemiology (107 citations) and Catalysis (23 citations). Tanja Herrmann has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include Ralf Bialek, Udo Reischl, Gloria M. González, Rolando Tijerina, Jan Marco Kern, Katja Siegers, Dominique Poujol, Yvonne Stark, Stefanie Urlinger and Ingrid Schuster. Their work appears in journals such as Journal of Clinical Microbiology, Chemical Communications, Frontiers in Molecular Neuroscience, mAbs and European Journal of Organic Chemistry.
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.