Knut Gubbe
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Antimicrobial Resistance in Staphylococcus 4
-
- Streptococcal Infections and Treatments 4
- Neonatal and Maternal Infections 2
- Co-authors
- Erhard Seifried (5 shared papers)Michael Schmidt (4 shared papers)M. K. Hourfar (3 shared papers)Michael Chudy (2 shared papers)Christine Jork (1 shared paper)W. Kurt Roth (1 shared paper)Michael P. Busch (1 shared paper)Volkmar Schottstedt (1 shared paper)
- Journals
- Transfusion (3 papers)Advances in experimental medicine and biology (2 papers)Stem Cells (1 paper)International Journal of Medical Microbiology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Knut Gubbe
12 papers receiving 411 citations
Peers
Comparison fields: 5 of 60
- Hepatology 129
- Epidemiology 239
- Management of Technology and Innovation 58
- Virology 27
- Biochemistry 35
Countries citing papers authored by Knut Gubbe
This map shows the geographic impact of Knut Gubbe'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 Knut Gubbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knut Gubbe more than expected).
Fields of papers citing papers by Knut Gubbe
This network shows the impact of papers produced by Knut Gubbe. 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 Knut Gubbe. The network helps show where Knut Gubbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Knut Gubbe, 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 | 2008 | 143 | |
| 2 | 2013 | 121 | |
| 3 | 2009 | 58 | |
| 4 | 2008 | 32 | |
| 5 | 1997 | 18 | |
| 6 | 2012 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2017 | 13 | |
| 9 | M3-protein with close sequence homology to M12 protein binds fibrinogen, albumin, fibronectin, but not to any subclass of IgG-localization of binding regions. | 1995 | 12 |
| 10 | 1997 | 5 | |
| 11 | 2001 | 5 | |
| 12 | 1997 | 2 |
About Knut Gubbe
Knut Gubbe is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Hematology and Virology, having authored 12 papers that have together received 437 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Hepatitis B Virus Studies (2 papers), Neonatal and Maternal Infections (2 papers), Blood donation and transfusion practices (1 paper), Blood properties and coagulation (1 paper), Blood groups and transfusion (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Hepatology (129 citations), Epidemiology (239 citations), Management of Technology and Innovation (58 citations), Virology (27 citations) and Biochemistry (35 citations). Knut Gubbe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Erhard Seifried, Michael Schmidt, M. K. Hourfar, Michael Chudy, Christine Jork, W. Kurt Roth, Michael P. Busch, Volkmar Schottstedt, V. Brixner and Lutz Pichl. Their work appears in journals such as Transfusion, Advances in experimental medicine and biology, Stem Cells, International Journal of Medical Microbiology and The Journal of Infectious Diseases.
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.