David Hörl
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 10%
Papers in
-
- Genomics and Chromatin Dynamics 5
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- Genetics 3
- Co-authors
- Heinrich Leonhardt (11 shared papers)Hartmann Harz (9 shared papers)Andreas Maiser (3 shared papers)Stephan Preibisch (2 shared papers)Paul W. Tillberg (1 shared paper)Mathias Treier (1 shared paper)Nadine Randel (1 shared paper)Albert Cardona (1 shared paper)
- Journals
- Science Advances (3 papers)Nucleic Acids Research (2 papers)Biophysical Journal (2 papers)Nature Methods (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
David Hörl
12 papers receiving 596 citations
Peers
Comparison fields: 5 of 84
- Biophysics 116
- Structural Biology 20
- Molecular Biology 472
- Aging 5
- Genetics 64
Countries citing papers authored by David Hörl
This map shows the geographic impact of David Hörl'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 Hörl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hörl more than expected).
Fields of papers citing papers by David Hörl
This network shows the impact of papers produced by David Hörl. 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 Hörl. The network helps show where David Hörl may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hörl, 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 | 2015 | 182 | |
| 2 | 2019 | 166 | |
| 3 | 2017 | 146 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 8 | |
| 9 | 2016 | 6 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About David Hörl
David Hörl is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 13 papers that have together received 601 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers), Cell Image Analysis Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Biophysics (116 citations), Structural Biology (20 citations), Molecular Biology (472 citations), Aging (5 citations) and Genetics (64 citations). David Hörl has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Heinrich Leonhardt, Hartmann Harz, Andreas Maiser, Stephan Preibisch, Paul W. Tillberg, Mathias Treier, Nadine Randel, Albert Cardona, Philipp Keller and Raghav K. Chhetri. Their work appears in journals such as Science Advances, Nucleic Acids Research, Biophysical Journal, Nature Methods and SLAS DISCOVERY.
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.