E. Seibold
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Bacillus and Francisella bacterial research 7
- Machine Learning in Bioinformatics 1
- Genetics 6
- Yersinia bacterium, plague, ectoparasites research 6
- Co-authors
- Wolf D. Splettstoesser (7 shared papers)Markus Kostrzewa (1 shared paper)T. Maier (1 shared paper)E.-J. Finke (3 shared papers)Roland Grunow (2 shared papers)Philippe Thullier (2 shared papers)Kerstin Mätz‐Rensing (2 shared papers)Herbert Tomaso (2 shared papers)
- Journals
- British Journal of Anaesthesia (3 papers)Journal of Clinical Microbiology (3 papers)Epidemiology and Infection (2 papers)Veterinary Pathology (1 paper)Anesthesiology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
E. Seibold
13 papers receiving 327 citations
Peers
Comparison fields: 5 of 63
- Virology 77
- Clinical Biochemistry 84
- Genetics 187
- Microbiology 35
- Health Informatics 6
Countries citing papers authored by E. Seibold
This map shows the geographic impact of E. Seibold'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 E. Seibold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Seibold more than expected).
Fields of papers citing papers by E. Seibold
This network shows the impact of papers produced by E. Seibold. 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 E. Seibold. The network helps show where E. Seibold may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Seibold, 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 | 2010 | 98 | |
| 2 | 2008 | 52 | |
| 3 | 2008 | 47 | |
| 4 | 2007 | 33 | |
| 5 | 2007 | 32 | |
| 6 | 2007 | 26 | |
| 7 | 2010 | 16 | |
| 8 | 2000 | 15 | |
| 9 | 2009 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 |
About E. Seibold
E. Seibold is a scholar working on Molecular Biology, Genetics, Virology, Anesthesiology and Pain Medicine and Surgery, having authored 14 papers that have together received 344 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (7 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Poxvirus research and outbreaks (5 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Anesthesia and Sedative Agents (2 papers), Machine Learning in Bioinformatics (1 paper), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Virology (77 citations), Clinical Biochemistry (84 citations), Genetics (187 citations), Microbiology (35 citations) and Health Informatics (6 citations). E. Seibold has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Wolf D. Splettstoesser, Markus Kostrzewa, T. Maier, E.-J. Finke, Roland Grunow, Philippe Thullier, Kerstin Mätz‐Rensing, Herbert Tomaso, Heinrich Neubauer and Meliha Meriç Koç. Their work appears in journals such as British Journal of Anaesthesia, Journal of Clinical Microbiology, Epidemiology and Infection, Veterinary Pathology and Anesthesiology.
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.