Daniel C. Sévin
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Microbial Metabolic Engineering and Bioproduction 5
- Bioinformatics and Genomic Networks 4
- Photosynthetic Processes and Mechanisms 2
- Protein Structure and Dynamics 2
- Ecology 2
- Co-authors
- Uwe Sauer (9 shared papers)Nicola Zamboni (4 shared papers)Tobias Fuhrer (2 shared papers)Andreas Kuehne (3 shared papers)Katharina Zirngibl (2 shared papers)Kiran Raosaheb Patil (2 shared papers)Eleni Kafkia (2 shared papers)Sergej Andrejev (1 shared paper)
- Journals
- Molecular Systems Biology (3 papers)Archives of Toxicology (2 papers)Nature Methods (1 paper)Proceedings of the National Academy of Sciences (1 paper)Microbiology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Daniel C. Sévin
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Aging 41
- Molecular Biology 808
- Food Science 172
- Genetics 186
- Biotechnology 45
Countries citing papers authored by Daniel C. Sévin
This map shows the geographic impact of Daniel C. Sévin'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 Daniel C. Sévin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Sévin more than expected).
Fields of papers citing papers by Daniel C. Sévin
This network shows the impact of papers produced by Daniel C. Sévin. 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 Daniel C. Sévin. The network helps show where Daniel C. Sévin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Sévin, 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 | 2017 | 268 | |
| 2 | 2015 | 129 | |
| 3 | 2016 | 117 | |
| 4 | 2014 | 112 | |
| 5 | 2016 | 105 | |
| 6 | 2014 | 101 | |
| 7 | 2017 | 87 | |
| 8 | 2016 | 57 | |
| 9 | 2009 | 53 | |
| 10 | 2021 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2014 | 23 | |
| 13 | 2021 | 18 | |
| 14 | 2017 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2023 | 0 |
About Daniel C. Sévin
Daniel C. Sévin is a scholar working on Molecular Biology, Ecology, Oncology, Physiology and Genetics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Bioinformatics and Genomic Networks (4 papers), Bacterial Genetics and Biotechnology (2 papers), Cancer Cells and Metastasis (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Aging (41 citations), Molecular Biology (808 citations), Food Science (172 citations), Genetics (186 citations) and Biotechnology (45 citations). Daniel C. Sévin has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Uwe Sauer, Nicola Zamboni, Tobias Fuhrer, Andreas Kuehne, Katharina Zirngibl, Kiran Raosaheb Patil, Eleni Kafkia, Sergej Andrejev, Athanasios Typas and Olga Ponomarova. Their work appears in journals such as Molecular Systems Biology, Archives of Toxicology, Nature Methods, Proceedings of the National Academy of Sciences and Microbiology.
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.