Marc Rullan
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Photoreceptor and optogenetics research
Papers in
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- Gene Regulatory Network Analysis 4
- bioluminescence and chemiluminescence research 2
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- DNA and Biological Computing 1
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- Light effects on plants 3
- Co-authors
- Mustafa Khammash (6 shared papers)Andreas Milias‐Argeitis (3 shared papers)P. Buchmann (1 shared paper)Stephanie K. Aoki (1 shared paper)Gregor W. Schmidt (1 shared paper)Dirk Benzinger (2 shared papers)Armin Baumschlager (1 shared paper)Georg Seelig (1 shared paper)
- Journals
- Nature Communications (3 papers)Molecular Cell (1 paper)Cell Systems (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- SwitzerlandNetherlandsUnited States
In The Last Decade
Marc Rullan
6 papers receiving 381 citations
Peers
Comparison fields: 5 of 54
- Biophysics 54
- Cellular and Molecular Neuroscience 89
- Molecular Biology 319
- Plant Science 85
- Biomedical Engineering 88
Countries citing papers authored by Marc Rullan
This map shows the geographic impact of Marc Rullan'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 Marc Rullan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Rullan more than expected).
Fields of papers citing papers by Marc Rullan
This network shows the impact of papers produced by Marc Rullan. 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 Marc Rullan. The network helps show where Marc Rullan may publish in the future.
Co-authors
The 13 scholars most cited alongside Marc Rullan, 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 | 2016 | 175 | |
| 2 | 2018 | 103 | |
| 3 | 2016 | 44 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 20 | |
| 6 | 2018 | 6 |
About Marc Rullan
Marc Rullan is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Biomedical Engineering and Infectious Diseases, having authored 6 papers that have together received 385 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Light effects on plants (3 papers), Photoreceptor and optogenetics research (2 papers), bioluminescence and chemiluminescence research (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Molecular Communication and Nanonetworks (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Biophysics (54 citations), Cellular and Molecular Neuroscience (89 citations), Molecular Biology (319 citations), Plant Science (85 citations) and Biomedical Engineering (88 citations). Marc Rullan has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Mustafa Khammash, Andreas Milias‐Argeitis, P. Buchmann, Stephanie K. Aoki, Gregor W. Schmidt, Dirk Benzinger, Armin Baumschlager, Georg Seelig, Christoph Zechner and Erin M. Langdon. Their work appears in journals such as Nature Communications, Molecular Cell, Cell Systems and Proceedings of the National Academy of Sciences.
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.