Benjamin Zoller
Impact in
- Biophysics top 5%
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- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
Papers in
-
- Gene Regulatory Network Analysis 5
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 3
- Diffusion and Search Dynamics 3
- Single-cell and spatial transcriptomics 2
- Protein Degradation and Inhibitors 1
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Félix Naef (5 shared papers)Damien Nicolas (3 shared papers)Thomas Gregor (4 shared papers)David M. Suter (2 shared papers)Nacho Molina (2 shared papers)Shawn C. Little (1 shared paper)Ivana Gotić (1 shared paper)Gašper Tkačik (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Methods (1 paper)Methods (1 paper)Science (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Benjamin Zoller
10 papers receiving 565 citations
Peers
Comparison fields: 5 of 64
- Biophysics 51
- Molecular Biology 527
- Aging 9
- Genetics 95
- Endocrine and Autonomic Systems 9
Countries citing papers authored by Benjamin Zoller
This map shows the geographic impact of Benjamin Zoller'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 Benjamin Zoller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Zoller more than expected).
Fields of papers citing papers by Benjamin Zoller
This network shows the impact of papers produced by Benjamin Zoller. 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 Benjamin Zoller. The network helps show where Benjamin Zoller may publish in the future.
Co-authors
The 18 scholars most cited alongside Benjamin Zoller, 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 | 2013 | 111 | |
| 2 | 2018 | 99 | |
| 3 | 2015 | 91 | |
| 4 | 2018 | 88 | |
| 5 | 2013 | 71 | |
| 6 | 2023 | 59 | |
| 7 | 2022 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2015 | 7 | |
| 10 | 2025 | 2 |
About Benjamin Zoller
Benjamin Zoller is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Statistical and Nonlinear Physics and Spectroscopy, having authored 10 papers that have together received 566 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Diffusion and Search Dynamics (3 papers), Single-cell and spatial transcriptomics (2 papers), Bacterial Genetics and Biotechnology (2 papers), Protein Degradation and Inhibitors (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (51 citations), Molecular Biology (527 citations), Aging (9 citations), Genetics (95 citations) and Endocrine and Autonomic Systems (9 citations). Benjamin Zoller has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Félix Naef, Damien Nicolas, Thomas Gregor, David M. Suter, Nacho Molina, Shawn C. Little, Ivana Gotić, Gašper Tkačik, David B. Brückner and Lev Barinov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods, Methods, Science and Nature Structural & Molecular Biology.
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.