Thomas Stoeger
Impact in
- Aging top 5%
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 7
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 5
- CRISPR and Genetic Engineering 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Aging 2
- Co-authors
- Lucas Pelkmans (6 shared papers)Nico Battich (5 shared papers)Luı́s A. Nunes Amaral (8 shared papers)Richard I. Morimoto (2 shared papers)Martin Gerlach (1 shared paper)Masakazu Yamazaki (2 shared papers)Juergen A. Knoblich (2 shared papers)Maria Novatchkova (1 shared paper)
- Journals
- eLife (3 papers)Nature (3 papers)Journal of Clinical Investigation (2 papers)Cell (2 papers)PLoS Biology (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Thomas Stoeger
32 papers receiving 2.2k citations
Thomas Stoeger's Hit Papers
Peers
Comparison fields: 5 of 140
- Aging 53
- Biophysics 145
- Molecular Biology 1.2k
- Infectious Diseases 301
- Immunology 308
Countries citing papers authored by Thomas Stoeger
This map shows the geographic impact of Thomas Stoeger'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 Stoeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Stoeger more than expected).
Fields of papers citing papers by Thomas Stoeger
This network shows the impact of papers produced by Thomas Stoeger. 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 Stoeger. The network helps show where Thomas Stoeger may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Stoeger, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia Hit paper breakdown → | 2021 | 516 |
| 2 | 2009 | 265 | |
| 3 | 2015 | 247 | |
| 4 | 2013 | 228 | |
| 5 | 2018 | 162 | |
| 6 | 2021 | 134 | |
| 7 | 2016 | 87 | |
| 8 | 2015 | 82 | |
| 9 | 2022 | 74 | |
| 10 | 2006 | 65 | |
| 11 | 2014 | 53 | |
| 12 | The entities enabling scientific fraud at scale are large, resilient, and growing rapidly Hit paper breakdown → | 2025 | 36 |
| 13 | 2023 | 33 | |
| 14 | 2022 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2024 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2022 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2020 | 19 |
About Thomas Stoeger
Thomas Stoeger is a scholar working on Molecular Biology, Aging, Critical Care and Intensive Care Medicine, Biophysics and Endocrine and Autonomic Systems, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (5 papers), CRISPR and Genetic Engineering (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Aging (53 citations), Biophysics (145 citations), Molecular Biology (1.2k citations), Infectious Diseases (301 citations) and Immunology (308 citations). Thomas Stoeger has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Lucas Pelkmans, Nico Battich, Luı́s A. Nunes Amaral, Richard I. Morimoto, Martin Gerlach, Masakazu Yamazaki, Juergen A. Knoblich, Maria Novatchkova, Georg Dietzl and Doris Chen. Their work appears in journals such as eLife, Nature, Journal of Clinical Investigation, Cell and PLoS Biology.
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.