Michael Seibold
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Epidemiology top 5%
- Fungal Infections and Studies
- Nail Diseases and Treatments
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Antifungal resistance and susceptibility 35
- Epidemiology 36
- Fungal Infections and Studies 35
- Nail Diseases and Treatments 16
- Pneumocystis jirovecii pneumonia detection and treatment 6
- Co-authors
- Kathrin TintelnotF. StaibAlfons KemperGerhard HaaseDean JacobsBernhard HubeSybren de HoogDieter Naumann
- Journals
- Mycoses (15 papers)Medical Mycology (5 papers)Biologicals (2 papers)JDDG Journal der Deutschen Dermatologischen Gesellschaft (2 papers)Diagnostic Microbiology and Infectious Disease (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Michael Seibold
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 723
- Epidemiology 660
- Microbiology 12
- Cell Biology 211
- Small Animals 88
Countries citing papers authored by Michael Seibold
This map shows the geographic impact of Michael 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 Michael Seibold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Seibold more than expected).
Fields of papers citing papers by Michael Seibold
This network shows the impact of papers produced by Michael 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 Michael Seibold. The network helps show where Michael Seibold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael 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 | 2015 | 72 | |
| 2 | 2012 | 5 | |
| 3 | 2012 | 1 | |
| 4 | 2010 | 14 | |
| 5 | 2008 | 8 | |
| 6 | 2008 | 23 | |
| 7 | 2006 | 9 | |
| 8 | 2006 | 20 | |
| 9 | 2006 | 43 | |
| 10 | 2006 | 15 | |
| 11 | 2003 | 45 | |
| 12 | 2003 | 6 | |
| 13 | 2002 | 5 | |
| 14 | 2001 | 1 | |
| 15 | 2000 | 15 | |
| 16 | 1996 | 3 | |
| 17 | 1992 | 24 | |
| 18 | 1990 | 15 | |
| 19 | 1990 | 17 | |
| 20 | 1989 | 14 |
About Michael Seibold
Michael Seibold is a scholar working on Infectious Diseases, Epidemiology, Small Animals, Ophthalmology and Cell Biology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (35 papers), Fungal Infections and Studies (35 papers), Nail Diseases and Treatments (16 papers), Plant Pathogens and Fungal Diseases (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Advanced Database Systems and Queries (5 papers), Distributed systems and fault tolerance (5 papers) and Infectious Diseases and Mycology (5 papers). The work is most often cited by research in Infectious Diseases (723 citations), Epidemiology (660 citations), Microbiology (12 citations), Cell Biology (211 citations) and Small Animals (88 citations). Michael Seibold has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Kathrin Tintelnot, F. Staib, Alfons Kemper, Gerhard Haase, Dean Jacobs, Bernhard Hube, Sybren de Hoog, Dieter Naumann, Frank Bergmann and Tatjana Franz. Their work appears in journals such as Mycoses, Medical Mycology, Biologicals, JDDG Journal der Deutschen Dermatologischen Gesellschaft and Diagnostic Microbiology and Infectious Disease.
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.