Eike Steinig
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Genomics and Phylogenetic Studies 3
- Molecular Biology Techniques and Applications 2
-
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Kyall R. Zenger (4 shared papers)Lachlan Coin (4 shared papers)Herman W. Raadsma (3 shared papers)Mehar S. Khatkar (3 shared papers)Markus Neuditschko (2 shared papers)Dean R. Jerry (3 shared papers)Deborah A. Williamson (5 shared papers)Roger Huerlimann (2 shared papers)
- Journals
- Gene (2 papers)BMC Genomics (2 papers)eLife (2 papers)Journal of Medical Virology (2 papers)Communications Biology (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Eike Steinig
19 papers receiving 448 citations
Peers
Comparison fields: 5 of 55
- Virology 69
- Clinical Biochemistry 33
- Infectious Diseases 84
- Aquatic Science 34
- Genetics 98
Countries citing papers authored by Eike Steinig
This map shows the geographic impact of Eike Steinig'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 Eike Steinig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eike Steinig more than expected).
Fields of papers citing papers by Eike Steinig
This network shows the impact of papers produced by Eike Steinig. 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 Eike Steinig. The network helps show where Eike Steinig may publish in the future.
Co-authors
The 25 scholars most cited alongside Eike Steinig, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 100 | |
| 2 | 2022 | 65 | |
| 3 | 2022 | 54 | |
| 4 | 2014 | 27 | |
| 5 | 2018 | 26 | |
| 6 | 2020 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2024 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2023 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Eike Steinig
Eike Steinig is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Plant Science and Virology, having authored 21 papers that have together received 449 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Poxvirus research and outbreaks (3 papers), Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers), Algal biology and biofuel production (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Virology (69 citations), Clinical Biochemistry (33 citations), Infectious Diseases (84 citations), Aquatic Science (34 citations) and Genetics (98 citations). Eike Steinig has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kyall R. Zenger, Lachlan Coin, Herman W. Raadsma, Mehar S. Khatkar, Markus Neuditschko, Dean R. Jerry, Deborah A. Williamson, Roger Huerlimann, Kirsten Heimann and Chuan Kok Lim. Their work appears in journals such as Gene, BMC Genomics, eLife, Journal of Medical Virology and Communications Biology.
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.