David Schubert
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
-
- Neuroscience and Neuropharmacology Research
Papers in
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- 3D Printing in Biomedical Research 3
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- Advanced Software Engineering Methodologies 3
- Co-authors
- C.E. Devine (1 shared paper)Stephen F. Heinemann (1 shared paper)AJ Harris (1 shared paper)Melvin Cohn (1 shared paper)Carlo Baroni (1 shared paper)Susie Humphreys (1 shared paper)M LaCorbiere (1 shared paper)Yuanbin Liu (1 shared paper)
- Journals
- Journal of Neuroscience (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Nature Biotechnology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cytometry Part A (1 paper)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
David Schubert
16 papers receiving 701 citations
Peers
Comparison fields: 5 of 122
- Cell Biology 139
- Cellular and Molecular Neuroscience 143
- Molecular Biology 503
- Immunology and Allergy 34
- Neurology 78
Countries citing papers authored by David Schubert
This map shows the geographic impact of David Schubert'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 David Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schubert more than expected).
Fields of papers citing papers by David Schubert
This network shows the impact of papers produced by David Schubert. 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 David Schubert. The network helps show where David Schubert may publish in the future.
Co-authors
The 21 scholars most cited alongside David Schubert, 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 | 1974 | 299 | |
| 2 | 1969 | 241 | |
| 3 | 1982 | 39 | |
| 4 | 2001 | 35 | |
| 5 | 2002 | 34 | |
| 6 | GENERATION OF REACTIVE OXYGEN SPECIES BY MITOCHONDRIAL ELECTRON TRANSPORT CHAIN | 2002 | 22 |
| 7 | 2022 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2005 | 12 | |
| 12 | 2005 | 10 | |
| 13 | 2016 | 4 | |
| 14 | 2004 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 1987 | 1 | |
| 18 | 2016 | 0 |
About David Schubert
David Schubert is a scholar working on Biomedical Engineering, Artificial Intelligence, Cell Biology, Computer Networks and Communications and Molecular Biology, having authored 18 papers that have together received 761 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (3 papers), Cellular Mechanics and Interactions (3 papers), 3D Printing in Biomedical Research (3 papers), Software System Performance and Reliability (2 papers), Safety Systems Engineering in Autonomy (2 papers), Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (2 papers) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Cell Biology (139 citations), Cellular and Molecular Neuroscience (143 citations), Molecular Biology (503 citations), Immunology and Allergy (34 citations) and Neurology (78 citations). David Schubert has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include C.E. Devine, Stephen F. Heinemann, AJ Harris, Melvin Cohn, Carlo Baroni, Susie Humphreys, M LaCorbiere, Yuanbin Liu, Dana P. Piasecki and Daniel Cremers. Their work appears in journals such as Journal of Neuroscience, Physica A Statistical Mechanics and its Applications, Nature Biotechnology, Proceedings of the National Academy of Sciences and Cytometry Part A.
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.