Nicolas Pagé
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Physiology top 5%
Papers in
- Immunology 18
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 7
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- Fungal and yeast genetics research 9
- RNA and protein synthesis mechanisms 3
- Co-authors
- Sylviane Muller (7 shared papers)Doron Merkler (13 shared papers)Nicolas Schall (6 shared papers)Howard Bussey (6 shared papers)Marion Décossas (3 shared papers)Frédéric Gros (3 shared papers)Jean‐Paul Briand (5 shared papers)Mario Kreutzfeldt (7 shared papers)
- Journals
- Nature Communications (4 papers)Yeast (3 papers)Autophagy (3 papers)Cancer Research (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Nicolas Pagé
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Immunology 550
- Physiology 73
- Neurology 119
- Cell Biology 222
- Molecular Biology 805
Countries citing papers authored by Nicolas Pagé
This map shows the geographic impact of Nicolas Pagé'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 Pagé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Pagé more than expected).
Fields of papers citing papers by Nicolas Pagé
This network shows the impact of papers produced by Nicolas Pagé. 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 Pagé. The network helps show where Nicolas Pagé may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Pagé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2003 | 134 | |
| 3 | 2012 | 127 | |
| 4 | 2010 | 104 | |
| 5 | 2011 | 84 | |
| 6 | 2004 | 84 | |
| 7 | 2015 | 83 | |
| 8 | 2016 | 81 | |
| 9 | 2001 | 80 | |
| 10 | 2014 | 66 | |
| 11 | 2017 | 64 | |
| 12 | 2018 | 59 | |
| 13 | 2017 | 57 | |
| 14 | 2002 | 54 | |
| 15 | 2009 | 53 | |
| 16 | 2012 | 51 | |
| 17 | 2019 | 50 | |
| 18 | 1996 | 39 | |
| 19 | 2022 | 35 | |
| 20 | 2021 | 32 |
About Nicolas Pagé
Nicolas Pagé is a scholar working on Immunology, Molecular Biology, Cell Biology, Plant Science and Oncology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Fungal and yeast genetics research (9 papers), Immunotherapy and Immune Responses (7 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Immunology (550 citations), Physiology (73 citations), Neurology (119 citations), Cell Biology (222 citations) and Molecular Biology (805 citations). Nicolas Pagé has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Sylviane Muller, Doron Merkler, Nicolas Schall, Howard Bussey, Marion Décossas, Frédéric Gros, Jean‐Paul Briand, Mario Kreutzfeldt, Daniel D. Pinschewer and Ingrid Wagner. Their work appears in journals such as Nature Communications, Yeast, Autophagy, Cancer Research and Frontiers in Immunology.
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.