David S. Fischer
- Biophysics top 0.5%
- Cell Image Analysis Techniques 6
- Building and Construction top 0.5%
- Building Energy and Comfort Optimization 15
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- Energy Efficiency and Management 8
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 17
- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 5
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- Smart Grid Energy Management 22
- Integrated Energy Systems Optimization 12
- Co-authors
- Fabian J. TheisHatef MadaniDavid C. PriceBernhard Wille‐HaussmannKaren Byskov LindbergGiovanni PallaAnna C. SchaarSabrina Richter
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
David S. Fischer
89 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Biophysics 340
- Building and Construction 769
- Energy Engineering and Power Technology 124
- Renewable Energy, Sustainability and the Environment 534
- Molecular Biology 1.8k
Countries citing papers authored by David S. Fischer
This map shows the geographic impact of David S. Fischer'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 S. Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Fischer more than expected).
Fields of papers citing papers by David S. Fischer
This network shows the impact of papers produced by David S. Fischer. 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 S. Fischer. The network helps show where David S. Fischer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David S. Fischer, 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 | 2025 | 17 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 24 | |
| 7 | Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbationbreakdown → | 2022 | 294 |
| 8 | Squidpy: a scalable framework for spatial omics analysisbreakdown → | 2022 | 417 |
| 9 | 2022 | 97 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 73 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 64 | |
| 17 | 2019 | 53 | |
| 18 | 2016 | 72 | |
| 19 | 2014 | 4 | |
| 20 | 2004 | 26 |
About David S. Fischer
David S. Fischer is a scholar working on Energy Engineering and Power Technology, Building and Construction and Biophysics, having authored 90 papers that have together received 4.4k indexed citations. Recurring topics across this work include Smart Grid Energy Management (22 papers), Single-cell and spatial transcriptomics (17 papers), Building Energy and Comfort Optimization (15 papers), Integrated Energy Systems Optimization (12 papers), Energy Efficiency and Management (8 papers), Cell Image Analysis Techniques (6 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Biophysics (340 citations), Building and Construction (769 citations) and Energy Engineering and Power Technology (124 citations). David S. Fischer has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Fabian J. Theis, Hatef Madani, David C. Price, Bernhard Wille‐Haussmann, Karen Byskov Lindberg, Giovanni Palla, Anna C. Schaar, Sabrina Richter, Christof Wittwer and Andreas Härtl. Their work appears in journals such as Nature, JAMA and Nucleic Acids Research.
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.