Thomas Stoeger
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Aging top 5%
Papers in
-
- Single-cell and spatial transcriptomics 6
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 5
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Developmental Biology and Gene Regulation 2
- Co-authors
- Lucas Pelkmans (7 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)Juergen A. Knoblich (2 shared papers)Masakazu Yamazaki (2 shared papers)Georg Dietzl (1 shared paper)
- Journals
- eLife (3 papers)Nature Methods (2 papers)Nature (2 papers)Cell (2 papers)PLoS Biology (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Thomas Stoeger
24 papers receiving 1.4k citations
Thomas Stoeger's Hit Papers
Peers
Comparison fields: 5 of 131
- Biophysics 136
- Aging 41
- Molecular Biology 1.0k
- Cell Biology 151
- Health Informatics 8
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 247 | |
| 2 | 2015 | 237 | |
| 3 | 2013 | 211 | |
| 4 | 2018 | 143 | |
| 5 | 2016 | 82 | |
| 6 | 2015 | 77 | |
| 7 | 2006 | 64 | |
| 8 | 2022 | 61 | |
| 9 | 2014 | 49 | |
| 10 | 2013 | 25 | |
| 11 | 2015 | 25 | |
| 12 | 2022 | 24 | |
| 13 | 2023 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2022 | 19 | |
| 16 | 2020 | 18 | |
| 17 | The entities enabling scientific fraud at scale are large, resilient, and growing rapidly Hit paper breakdown → | 2025 | 15 |
| 18 | 2024 | 14 | |
| 19 | 2016 | 12 | |
| 20 | 2022 | 11 |
About Thomas Stoeger
Thomas Stoeger is a scholar working on Molecular Biology, Information Systems and Management, Critical Care and Intensive Care Medicine, Artificial Intelligence and Computational Theory and Mathematics, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Developmental Biology and Gene Regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (136 citations), Aging (41 citations), Molecular Biology (1.0k citations), Cell Biology (151 citations) and Health Informatics (8 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, Juergen A. Knoblich, Masakazu Yamazaki, Georg Dietzl, Doris Chen and Barry J. Dickson. Their work appears in journals such as eLife, Nature Methods, Nature, 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.