Patrick S. Stumpf
Impact in
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- Photoreceptor and optogenetics research
- Biophysics top 5%
Papers in
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- Single-cell and spatial transcriptomics 10
- Pluripotent Stem Cells Research 9
- Gene Regulatory Network Analysis 6
- Genetics 5
- Mesenchymal stem cell research 4
- Co-authors
- Ben D. MacArthur (15 shared papers)Georg Nagel (1 shared paper)Wolfgang Gärtner (1 shared paper)Manuela Stierl (1 shared paper)Ronnie Gueta (1 shared paper)Marina Efetova (1 shared paper)Aba Losi (1 shared paper)Rolf Hagedorn (1 shared paper)
- Journals
- Human Molecular Genetics (2 papers)Cell Systems (2 papers)Communications Biology (2 papers)Frontiers in Genetics (1 paper)WIREs Systems Biology and Medicine (1 paper)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Patrick S. Stumpf
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 259
- Biophysics 71
- Aging 19
- Molecular Biology 592
- Biomaterials 110
Countries citing papers authored by Patrick S. Stumpf
This map shows the geographic impact of Patrick S. Stumpf'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 Patrick S. Stumpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick S. Stumpf more than expected).
Fields of papers citing papers by Patrick S. Stumpf
This network shows the impact of papers produced by Patrick S. Stumpf. 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 Patrick S. Stumpf. The network helps show where Patrick S. Stumpf may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick S. Stumpf, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 316 | |
| 2 | 2012 | 122 | |
| 3 | 2017 | 121 | |
| 4 | 2012 | 87 | |
| 5 | 2018 | 65 | |
| 6 | 2016 | 49 | |
| 7 | 2014 | 44 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 30 | |
| 10 | 2014 | 26 | |
| 11 | 2012 | 23 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2014 | 16 | |
| 15 | 2017 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2021 | 9 |
About Patrick S. Stumpf
Patrick S. Stumpf is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Biomaterials and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Pluripotent Stem Cells Research (9 papers), Gene Regulatory Network Analysis (6 papers), Nanoparticle-Based Drug Delivery (4 papers), Mesenchymal stem cell research (4 papers), 3D Printing in Biomedical Research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (259 citations), Biophysics (71 citations), Aging (19 citations), Molecular Biology (592 citations) and Biomaterials (110 citations). Patrick S. Stumpf has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Ben D. MacArthur, Georg Nagel, Wolfgang Gärtner, Manuela Stierl, Ronnie Gueta, Marina Efetova, Aba Losi, Rolf Hagedorn, Martin Schwärzel and Thomas G. Oertner. Their work appears in journals such as Human Molecular Genetics, Cell Systems, Communications Biology, Frontiers in Genetics and WIREs Systems Biology and Medicine.
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.