Leon Hetzel
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- CRISPR and Genetic Engineering
Papers in
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- Single-cell and spatial transcriptomics 2
- Bioinformatics and Genomic Networks 1
- Advanced biosensing and bioanalysis techniques 1
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- Quantum Mechanics and Applications 1
- Co-authors
- Stephan Günnemann (2 shared papers)Fabian J. Theis (2 shared papers)David S. Fischer (1 shared paper)David López-Paz (1 shared paper)Jay Shendure (1 shared paper)Ignacio L. Ibarra (1 shared paper)Carlo De Donno (1 shared paper)José L. McFaline‐Figueroa (1 shared paper)
- Journals
- Current Opinion in Systems Biology (1 paper)Molecular Systems Biology (1 paper)Physical review. A (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Leon Hetzel
3 papers receiving 136 citations
Leon Hetzel's Hit Papers
Peers
Comparison fields: 5 of 34
- Biophysics 37
- Molecular Biology 110
- Cancer Research 10
- Artificial Intelligence 21
- Computational Theory and Mathematics 10
Countries citing papers authored by Leon Hetzel
This map shows the geographic impact of Leon Hetzel'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 Leon Hetzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Hetzel more than expected).
Fields of papers citing papers by Leon Hetzel
This network shows the impact of papers produced by Leon Hetzel. 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 Leon Hetzel. The network helps show where Leon Hetzel may publish in the future.
Co-authors
The 20 scholars most cited alongside Leon Hetzel, 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 | Predicting cellular responses to complex perturbations in high‐throughput screens Hit paper breakdown → | 2023 | 97 |
| 2 | 2021 | 28 | |
| 3 | 2017 | 14 |
About Leon Hetzel
Leon Hetzel is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Biophysics and Infectious Diseases, having authored 3 papers that have together received 139 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Bioinformatics and Genomic Networks (1 paper), Cell Image Analysis Techniques (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Quantum Mechanics and Applications (1 paper) and Quantum Information and Cryptography (1 paper). The work is most often cited by research in Biophysics (37 citations), Molecular Biology (110 citations), Cancer Research (10 citations), Artificial Intelligence (21 citations) and Computational Theory and Mathematics (10 citations). Leon Hetzel has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Stephan Günnemann, Fabian J. Theis, David S. Fischer, David López-Paz, Jay Shendure, Ignacio L. Ibarra, Carlo De Donno, José L. McFaline‐Figueroa, Yuge Ji and Nafissa Yakubova. Their work appears in journals such as Current Opinion in Systems Biology, Molecular Systems Biology and Physical review. 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.