Stefan Günther
- Molecular Biology top 5%
- Congenital heart defects research 18
- Single-cell and spatial transcriptomics 4
- RNA modifications and cancer 4
- Cancer Research top 10%
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications 6
- Aging top 10%
- Pharmacology top 5%
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- Neonatal Respiratory Health Research 7
- Coronary Artery Anomalies 5
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- Congenital Heart Disease Studies 6
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- Congenital Diaphragmatic Hernia Studies 3
- Co-authors
- Didier Y. R. StainierCarsten KuenneThomas BraunMario LoosoRubén Marín‐JuezJens PreussnerMichail YekelchykShih-Lei Lai
- Journals
- Nature Communications (7 papers)eLife (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Stefan Günther
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Cancer Research 233
- Cell Biology 215
- Aging 23
- Pharmacology 114
Countries citing papers authored by Stefan Günther
This map shows the geographic impact of Stefan Günther'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 Stefan Günther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Günther more than expected).
Fields of papers citing papers by Stefan Günther
This network shows the impact of papers produced by Stefan Günther. 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 Stefan Günther. The network helps show where Stefan Günther may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Günther, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 96 | |
| 11 | 2020 | 154 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 122 | |
| 14 | 2019 | 65 | |
| 15 | 2018 | 64 | |
| 16 | 2018 | 63 | |
| 17 | 2018 | 44 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 51 | |
| 20 | 2009 | 212 |
About Stefan Günther
Stefan Günther is a scholar working on Molecular Biology, Aging, Geriatrics and Gerontology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Congenital heart defects research (18 papers), Neonatal Respiratory Health Research (7 papers), Zebrafish Biomedical Research Applications (6 papers), Congenital Heart Disease Studies (6 papers), Coronary Artery Anomalies (5 papers), Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (4 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (233 citations), Cell Biology (215 citations), Aging (23 citations) and Pharmacology (114 citations). Stefan Günther has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Didier Y. R. Stainier, Carsten Kuenne, Thomas Braun, Mario Looso, Rubén Marín‐Juez, Jens Preussner, Michail Yekelchyk, Shih-Lei Lai, Ayele Taddese Tsedeke and Jason Lai. Their work appears in journals such as Nature Communications, eLife, Proceedings of the National Academy of Sciences, Circulation Research and Science Advances.
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.