E. Seibold

474 citations
15 papers · 385 · h-index 10

Impact in

Papers in

    • Bacillus and Francisella bacterial research 7
    • Gene expression and cancer classification 1
    • Yersinia bacterium, plague, ectoparasites research 6

E. Seibold

14 papers receiving 358 citations

Peers

E. Seibold
Comparison fields: 5 of 57
  • Virology 74
  • Clinical Biochemistry 84
  • Genetics 175
  • Microbiology 33
  • Health Informatics 6
Replace Aurélie Hennebique with:
Aurélie Hennebique France
Deanna R. Christensen United States
Lennart Berglund Sweden
W. Splettstößer Germany
Janika Möller Germany
Jason R. Wickstrum United States
Wendy Olson United States
Jean‐Baptiste Dufourcq Cambodia
Fabien Dorange France
Saibal K. Poddar United States
E. Seibold relative to Aurélie Hennebique France Aurélie Hennebique's profile →
Citations per field
00.5×
Aurélie Hennebique · 1×
Citations per year

Countries citing papers authored by E. Seibold

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Seibold Line = papers co-authored together E. Seibold links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010107
2 200858
3 200850
4 200738
5 200738
6 200727
7 201020
8 200014
9 202413
10 200910
11 20245
12 20233
13 20241
14 20251
15 20260

About E. Seibold

E. Seibold is a scholar working on Molecular Biology, Genetics, Virology, Surgery and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 385 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), Microbial Inactivation Methods (1 paper), Xenotransplantation and immune response (1 paper), Gene expression and cancer classification (1 paper), Respiratory Support and Mechanisms (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Virology (74 citations), Clinical Biochemistry (84 citations), Genetics (175 citations), Microbiology (33 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, Kerstin Mätz‐Rensing, Philippe Thullier, Herbert Tomaso, Heinrich Neubauer and Dimitrios Frangoulidis. Their work appears in journals such as Journal of Clinical Microbiology, British Journal of Anaesthesia, Epidemiology and Infection, Journal of Medical Microbiology and Computer Methods and Programs in Biomedicine.

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.

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