Thomas Liechti
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- HIV Research and Treatment
Papers in
- Immunology 13
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 10
- Immunodeficiency and Autoimmune Disorders 2
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- Single-cell and spatial transcriptomics 3
- Co-authors
- Mario Roederer (11 shared papers)Florian Mair (2 shared papers)Huldrych F. Günthard (6 shared papers)Alexandra Trkola (6 shared papers)Sofie Van Gassen (2 shared papers)Lukas M. Weber (1 shared paper)Thomas M. Ashhurst (1 shared paper)Natalie Stanley (1 shared paper)
- Journals
- Cytometry Part A (8 papers)Nature Communications (1 paper)PLoS ONE (1 paper)Immunology (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Thomas Liechti
22 papers receiving 371 citations
Peers
Comparison fields: 5 of 56
- Immunology 177
- Virology 30
- Biophysics 28
- Infectious Diseases 52
- Molecular Biology 146
Countries citing papers authored by Thomas Liechti
This map shows the geographic impact of Thomas Liechti'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 Liechti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Liechti more than expected).
Fields of papers citing papers by Thomas Liechti
This network shows the impact of papers produced by Thomas Liechti. 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 Liechti. The network helps show where Thomas Liechti may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Liechti, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2018 | 43 | |
| 3 | 2019 | 42 | |
| 4 | 2020 | 35 | |
| 5 | 2019 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2014 | 22 | |
| 10 | 2018 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2017 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Thomas Liechti
Thomas Liechti is a scholar working on Immunology, Molecular Biology, Virology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers), HIV Research and Treatment (5 papers), Single-cell and spatial transcriptomics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Trypanosoma species research and implications (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (177 citations), Virology (30 citations), Biophysics (28 citations), Infectious Diseases (52 citations) and Molecular Biology (146 citations). Thomas Liechti has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Mario Roederer, Florian Mair, Huldrych F. Günthard, Alexandra Trkola, Sofie Van Gassen, Lukas M. Weber, Thomas M. Ashhurst, Natalie Stanley, Martin Prlic and Massimo Mangino. Their work appears in journals such as Cytometry Part A, Nature Communications, PLoS ONE, Immunology and Cell Reports Methods.
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.