Michael Schwabe
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Antibiotic Resistance in Bacteria 11
- Oncology 15
- Cytokine Signaling Pathways and Interactions 8
- HER2/EGFR in Cancer Research 3
- Co-authors
- Carsten Denkert (3 shared papers)Rabih Chaoui (2 shared papers)Annette Simon (2 shared papers)Hans Bergner (2 shared papers)Steffen Hauptmann (2 shared papers)P. Neuhaus (1 shared paper)Björn Riecke (1 shared paper)Peter Martus (1 shared paper)
- Journals
- Blood (4 papers)The FASEB Journal (3 papers)Microbiology Spectrum (3 papers)Journal of Biological Chemistry (3 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Michael Schwabe
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Molecular Medicine 104
- Hepatology 145
- Oncology 333
- Cancer Research 175
- Otorhinolaryngology 48
Countries citing papers authored by Michael Schwabe
This map shows the geographic impact of Michael Schwabe'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 Schwabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schwabe more than expected).
Fields of papers citing papers by Michael Schwabe
This network shows the impact of papers produced by Michael Schwabe. 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 Schwabe. The network helps show where Michael Schwabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schwabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 235 | |
| 2 | 2011 | 179 | |
| 3 | 2002 | 174 | |
| 4 | 2005 | 119 | |
| 5 | 2003 | 93 | |
| 6 | 2002 | 62 | |
| 7 | 1992 | 59 | |
| 8 | 1994 | 58 | |
| 9 | 1994 | 51 | |
| 10 | 1996 | 48 | |
| 11 | 1994 | 48 | |
| 12 | 2023 | 42 | |
| 13 | 2011 | 30 | |
| 14 | 2007 | 30 | |
| 15 | 2022 | 30 | |
| 16 | 2007 | 25 | |
| 17 | 1990 | 24 | |
| 18 | 2004 | 23 | |
| 19 | 2008 | 23 | |
| 20 | 2023 | 20 |
About Michael Schwabe
Michael Schwabe is a scholar working on Molecular Medicine, Oncology, Immunology, Genetics and Biotechnology, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Cytokine Signaling Pathways and Interactions (8 papers), Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), HER2/EGFR in Cancer Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Molecular Medicine (104 citations), Hepatology (145 citations), Oncology (333 citations), Cancer Research (175 citations) and Otorhinolaryngology (48 citations). Michael Schwabe has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Carsten Denkert, Rabih Chaoui, Annette Simon, Hans Bergner, Steffen Hauptmann, P. Neuhaus, Björn Riecke, Peter Martus, Karsten Heyne and Stefan M. Niehues. Their work appears in journals such as Blood, The FASEB Journal, Microbiology Spectrum, Journal of Biological Chemistry and Frontiers in Microbiology.
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.