Markus Sauerborn
Impact in
- Infectious Diseases top 1%
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
- Antimicrobial Resistance in Staphylococcus
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
Papers in
-
- Clostridium difficile and Clostridium perfringens research 10
- Antimicrobial Resistance in Staphylococcus 7
-
- Toxin Mechanisms and Immunotoxins 6
- Co-authors
- Christoph von Eichel‐Streiber (6 shared papers)Petra Leukel (3 shared papers)Thomas Hundsberger (2 shared papers)Veit Braun (1 shared paper)Patrice Boquet (1 shared paper)Monica Thelestam (1 shared paper)Howard K. Kuramitsu (1 shared paper)C. von Eichel-Streiber (1 shared paper)
- Journals
- Gene (2 papers)Nucleic Acids Research (1 paper)Virus Research (1 paper)European Journal of Biochemistry (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- GermanyUnited KingdomSweden
In The Last Decade
Markus Sauerborn
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 1.1k
- Immunology 406
- Endocrinology 52
- Gastroenterology 43
- Epidemiology 203
Countries citing papers authored by Markus Sauerborn
This map shows the geographic impact of Markus Sauerborn'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 Markus Sauerborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Sauerborn more than expected).
Fields of papers citing papers by Markus Sauerborn
This network shows the impact of papers produced by Markus Sauerborn. 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 Markus Sauerborn. The network helps show where Markus Sauerborn may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Sauerborn, 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 | 1996 | 283 | |
| 2 | 1996 | 216 | |
| 3 | 1997 | 164 | |
| 4 | 1992 | 134 | |
| 5 | 1992 | 115 | |
| 6 | 1990 | 95 | |
| 7 | 2008 | 73 | |
| 8 | 1999 | 58 | |
| 9 | 2003 | 55 | |
| 10 | 1990 | 42 | |
| 11 | 2006 | 37 | |
| 12 | 1990 | 37 | |
| 13 | 1999 | 32 | |
| 14 | 1991 | 17 |
About Markus Sauerborn
Markus Sauerborn is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Genetics and Organic Chemistry, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (10 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Toxin Mechanisms and Immunotoxins (6 papers), Glycosylation and Glycoproteins Research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Streptococcal Infections and Treatments (1 paper), Ion channel regulation and function (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Immunology (406 citations), Endocrinology (52 citations), Gastroenterology (43 citations) and Epidemiology (203 citations). Markus Sauerborn has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Christoph von Eichel‐Streiber, Petra Leukel, Thomas Hundsberger, Veit Braun, Patrice Boquet, Monica Thelestam, Howard K. Kuramitsu, C. von Eichel-Streiber, Rita Laufenberg–Feldmann and Jörg O. Schulze. Their work appears in journals such as Gene, Nucleic Acids Research, Virus Research, European Journal of Biochemistry and Journal of Bacteriology.
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.