Patrick S. Stumpf
Impact in
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- Photoreceptor and optogenetics research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
Papers in
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- Pluripotent Stem Cells Research 7
- Gene Regulatory Network Analysis 6
- Developmental Biology and Gene Regulation 3
- Single-cell and spatial transcriptomics 2
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- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Ben D. MacArthur (15 shared papers)Martin Schwärzel (1 shared paper)Peter Hegemann (1 shared paper)Ronnie Gueta (1 shared paper)Wolfgang Gärtner (1 shared paper)Georg Nagel (1 shared paper)Thomas G. Oertner (1 shared paper)Aba Losi (1 shared paper)
- Journals
- Cell Systems (2 papers)Human Molecular Genetics (2 papers)Communications Biology (2 papers)Blood (1 paper)Journal of Tissue Engineering (1 paper)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Patrick S. Stumpf
26 papers receiving 1k citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 239
- Hematology 106
- Molecular Biology 447
- Biophysics 37
- Drug Discovery 1
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 329 | |
| 2 | 2017 | 132 | |
| 3 | 2012 | 125 | |
| 4 | 2018 | 74 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 46 | |
| 7 | 2014 | 44 | |
| 8 | 2019 | 35 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2019 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2012 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 5 |
About Patrick S. Stumpf
Patrick S. Stumpf is a scholar working on Molecular Biology, Hematology, Genetics, Modeling and Simulation and Immunology, having authored 27 papers that have together received 1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Gene Regulatory Network Analysis (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (3 papers), Developmental Biology and Gene Regulation (3 papers), T-cell and B-cell Immunology (2 papers), Mathematical Biology Tumor Growth (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Hematology (106 citations), Molecular Biology (447 citations), Biophysics (37 citations) and Drug Discovery (1 citation). Patrick S. Stumpf has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Ben D. MacArthur, Martin Schwärzel, Peter Hegemann, Ronnie Gueta, Wolfgang Gärtner, Georg Nagel, Thomas G. Oertner, Aba Losi, Marina Efetova and Manuela Stierl. Their work appears in journals such as Cell Systems, Human Molecular Genetics, Communications Biology, Blood and Journal of Tissue Engineering.
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.