Thomas Bächi
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Virology top 5%
Papers in
-
- Lipid Membrane Structure and Behavior 10
- Glycosylation and Glycoproteins Research 6
- RNA Interference and Gene Delivery 5
- Epidemiology 18
- Respiratory viral infections research 7
- Influenza Virus Research Studies 6
- Co-authors
- Anja Schweizer (3 shared papers)Calderón Howe (2 shared papers)Jonathan W. Yewdell (6 shared papers)H P Hauri (1 shared paper)L.A. Ginsel (1 shared paper)Jack Fransen (1 shared paper)Jean‐Marc Fritschy (1 shared paper)H. Möhler (1 shared paper)
- Journals
- Journal of Virology (7 papers)The Journal of Cell Biology (3 papers)Virology (3 papers)Journal of Bacteriology (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- SwitzerlandUnited StatesSweden
In The Last Decade
Thomas Bächi
44 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 119
- Cell Biology 584
- Virology 136
- Immunology 549
- Infectious Diseases 455
- Epidemiology 748
Countries citing papers authored by Thomas Bächi
This map shows the geographic impact of Thomas Bächi'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 Thomas Bächi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bächi more than expected).
Fields of papers citing papers by Thomas Bächi
This network shows the impact of papers produced by Thomas Bächi. 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 Thomas Bächi. The network helps show where Thomas Bächi may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Bächi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 440 | |
| 2 | 1992 | 313 | |
| 3 | 1989 | 192 | |
| 4 | 1973 | 137 | |
| 5 | 1993 | 132 | |
| 6 | 2002 | 112 | |
| 7 | 1995 | 112 | |
| 8 | 2002 | 109 | |
| 9 | 1998 | 109 | |
| 10 | 1973 | 102 | |
| 11 | 1983 | 92 | |
| 12 | 2003 | 89 | |
| 13 | 1988 | 83 | |
| 14 | 2005 | 78 | |
| 15 | 2004 | 76 | |
| 16 | 1997 | 75 | |
| 17 | 2004 | 73 | |
| 18 | 1996 | 72 | |
| 19 | 1992 | 70 | |
| 20 | 1999 | 70 |
About Thomas Bächi
Thomas Bächi is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Virus-based gene therapy research (8 papers), Respiratory viral infections research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Influenza Virus Research Studies (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cell Biology (584 citations), Virology (136 citations), Immunology (549 citations), Infectious Diseases (455 citations) and Epidemiology (748 citations). Thomas Bächi has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Anja Schweizer, Calderón Howe, Jonathan W. Yewdell, H P Hauri, L.A. Ginsel, Jack Fransen, Jean‐Marc Fritschy, H. Möhler, WH Oertel and Dietmar Benke. Their work appears in journals such as Journal of Virology, The Journal of Cell Biology, Virology, Journal of Bacteriology and Journal of Cell Science.
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.