Susann Kummer
Impact in
- Structural Biology top 10%
-
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 3
- DNA and Nucleic Acid Chemistry 3
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- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
- Co-authors
- Andreas Herrmann (6 shared papers)Lucas Bethge (4 shared papers)Elke Socher (4 shared papers)Oliver Seitz (5 shared papers)Andrea Knoll (5 shared papers)Hans‐Georg Kräusslich (7 shared papers)John A. G. Briggs (2 shared papers)Oliver Schraidt (2 shared papers)
- Journals
- Nature Communications (2 papers)Emerging Microbes & Infections (2 papers)Journal of Virology (2 papers)Nature (1 paper)Mitochondrion (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Susann Kummer
18 papers receiving 607 citations
Peers
Comparison fields: 5 of 63
- Structural Biology 18
- Molecular Biology 392
- Infectious Diseases 105
- Cell Biology 86
- Epidemiology 169
Countries citing papers authored by Susann Kummer
This map shows the geographic impact of Susann Kummer'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 Susann Kummer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susann Kummer more than expected).
Fields of papers citing papers by Susann Kummer
This network shows the impact of papers produced by Susann Kummer. 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 Susann Kummer. The network helps show where Susann Kummer may publish in the future.
Co-authors
The 25 scholars most cited alongside Susann Kummer, 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 | 2011 | 101 | |
| 2 | 2018 | 97 | |
| 3 | 2012 | 74 | |
| 4 | 2015 | 65 | |
| 5 | 2020 | 62 | |
| 6 | 2020 | 40 | |
| 7 | 2014 | 36 | |
| 8 | 2011 | 32 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2013 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2011 | 1 |
About Susann Kummer
Susann Kummer is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Immunology, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Viral Infections and Vectors (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Respiratory viral infections research (3 papers), Bacteriophages and microbial interactions (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Structural Biology (18 citations), Molecular Biology (392 citations), Infectious Diseases (105 citations), Cell Biology (86 citations) and Epidemiology (169 citations). Susann Kummer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andreas Herrmann, Lucas Bethge, Elke Socher, Oliver Seitz, Andrea Knoll, Hans‐Georg Kräusslich, John A. G. Briggs, Oliver Schraidt, Steeve Boulant and Kem A. Sochacki. Their work appears in journals such as Nature Communications, Emerging Microbes & Infections, Journal of Virology, Nature and Mitochondrion.
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.