Nicolas Mathis
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
-
- Reproductive biology and impacts on aquatic species 3
-
- Aquaculture Nutrition and Growth 3
- Co-authors
- Gerald Schwank (12 shared papers)Jean Brun‐Bellut (3 shared papers)Lukas Schmidheini (7 shared papers)Cyril Feidt (1 shared paper)Kim Fabiano Marquart (9 shared papers)Lucas Kissling (8 shared papers)Desirée Böck (5 shared papers)Tanja Rothgangl (6 shared papers)
- Journals
- Aquaculture (2 papers)Science Translational Medicine (2 papers)Nature Biotechnology (2 papers)Nature Protocols (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Nicolas Mathis
16 papers receiving 590 citations
Nicolas Mathis's Hit Papers
Peers
Comparison fields: 5 of 66
- Business and International Management 33
- Aquatic Science 110
- Physiology 59
- Aging 20
- Molecular Biology 414
Countries citing papers authored by Nicolas Mathis
This map shows the geographic impact of Nicolas Mathis'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 Nicolas Mathis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Mathis more than expected).
Fields of papers citing papers by Nicolas Mathis
This network shows the impact of papers produced by Nicolas Mathis. 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 Nicolas Mathis. The network helps show where Nicolas Mathis may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Mathis, 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 | In vivo prime editing of a metabolic liver disease in mice Hit paper breakdown → | 2022 | 153 |
| 2 | Predicting prime editing efficiency and product purity by deep learning Hit paper breakdown → | 2023 | 117 |
| 3 | 2003 | 68 | |
| 4 | 2020 | 48 | |
| 5 | 2024 | 43 | |
| 6 | 2023 | 35 | |
| 7 | 2007 | 34 | |
| 8 | 2022 | 23 | |
| 9 | 2024 | 22 | |
| 10 | 2024 | 22 | |
| 11 | 2021 | 13 | |
| 12 | 2008 | 12 | |
| 13 | 2017 | 6 | |
| 14 | 2026 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 |
About Nicolas Mathis
Nicolas Mathis is a scholar working on Physiology, Aquatic Science, Molecular Biology, Genetics and Hematology, having authored 18 papers that have together received 606 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers), RNA regulation and disease (3 papers), Virus-based gene therapy research (3 papers), Aquaculture Nutrition and Growth (3 papers), Reproductive biology and impacts on aquatic species (3 papers), Animal Genetics and Reproduction (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Business and International Management (33 citations), Aquatic Science (110 citations), Physiology (59 citations), Aging (20 citations) and Molecular Biology (414 citations). Nicolas Mathis has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Gerald Schwank, Jean Brun‐Bellut, Lukas Schmidheini, Cyril Feidt, Kim Fabiano Marquart, Lucas Kissling, Desirée Böck, Tanja Rothgangl, Ahmed Allam and Michael Krauthammer. Their work appears in journals such as Aquaculture, Science Translational Medicine, Nature Biotechnology, Nature Protocols and EMBO Molecular Medicine.
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.