Michael Baier
Impact in
- Virology top 1%
- HIV Research and Treatment
- Parasitology top 2%
- Vector-borne infectious diseases
Papers in
- Virology 16
- HIV Research and Treatment 16
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- SARS-CoV-2 and COVID-19 Research 8
- SARS-CoV-2 detection and testing 5
- HIV/AIDS drug development and treatment 4
- Co-authors
- Reinhard Kurth (18 shared papers)Norbert Bannert (5 shared papers)Albrecht Werner (5 shared papers)Karin Jutta Metzner (1 shared paper)Mathias Wilhelm Pletz (21 shared papers)Wolfgang Pfister (8 shared papers)Michael Kiehntopf (6 shared papers)Klaus Cichutek (5 shared papers)
- Journals
- Infection (10 papers)Proceedings of the National Academy of Sciences (5 papers)Nature (3 papers)AIDS (2 papers)Vaccines (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Michael Baier
76 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Virology 547
- Parasitology 229
- Infectious Diseases 221
- Applied Microbiology and Biotechnology 23
- Immunology 141
Countries citing papers authored by Michael Baier
This map shows the geographic impact of Michael Baier'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 Baier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Baier more than expected).
Fields of papers citing papers by Michael Baier
This network shows the impact of papers produced by Michael Baier. 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 Baier. The network helps show where Michael Baier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Baier, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 251 | |
| 2 | 2007 | 178 | |
| 3 | 1997 | 116 | |
| 4 | 2005 | 70 | |
| 5 | 2012 | 63 | |
| 6 | 1996 | 61 | |
| 7 | 1989 | 59 | |
| 8 | 2008 | 55 | |
| 9 | 2020 | 55 | |
| 10 | 1989 | 51 | |
| 11 | 1999 | 50 | |
| 12 | 2017 | 44 | |
| 13 | 1998 | 43 | |
| 14 | 1990 | 40 | |
| 15 | 2020 | 38 | |
| 16 | 2013 | 36 | |
| 17 | 1991 | 35 | |
| 18 | 2016 | 30 | |
| 19 | 2017 | 30 | |
| 20 | 2016 | 28 |
About Michael Baier
Michael Baier is a scholar working on Virology, Infectious Diseases, Parasitology, Clinical Biochemistry and Modeling and Simulation, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Cystic Fibrosis Research Advances (6 papers), SARS-CoV-2 detection and testing (5 papers), HIV/AIDS drug development and treatment (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Vector-borne infectious diseases (4 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Virology (547 citations), Parasitology (229 citations), Infectious Diseases (221 citations), Applied Microbiology and Biotechnology (23 citations) and Immunology (141 citations). Michael Baier has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Reinhard Kurth, Norbert Bannert, Albrecht Werner, Karin Jutta Metzner, Mathias Wilhelm Pletz, Wolfgang Pfister, Michael Kiehntopf, Klaus Cichutek, Kurt Lang and Thore Lorenzen. Their work appears in journals such as Infection, Proceedings of the National Academy of Sciences, Nature, AIDS and Vaccines.
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.