Nicolas Robine
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 9
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 2%
- RNA Research and Splicing 7
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 5
- Genomics and Phylogenetic Studies 4
- Biological Psychiatry top 5%
- Aging top 5%
- Plant Science top 5%
- Chromosomal and Genetic Variations 5
- Co-authors
- Eric C. LaiZhan GaoIlseung ChoArlin B. RogersLaura M. CoxHuilin LiJorge RodríguezShingo Yamanishi
- Partner nations
- United StatesFranceJapan
In The Last Decade
Nicolas Robine
34 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 1000
- Molecular Biology 3.3k
- Biological Psychiatry 81
- Aging 45
- Plant Science 762
Countries citing papers authored by Nicolas Robine
This map shows the geographic impact of Nicolas Robine'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 Robine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Robine more than expected).
Fields of papers citing papers by Nicolas Robine
This network shows the impact of papers produced by Nicolas Robine. 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 Robine. The network helps show where Nicolas Robine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicolas Robine, 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 | 2023 | 4 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 1 | |
| 6 | Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy | 2018 | 9 |
| 7 | 2018 | 155 | |
| 8 | 2017 | 62 | |
| 9 | 2015 | 75 | |
| 10 | 2014 | 327 | |
| 11 | 2014 | 55 | |
| 12 | Altering the Intestinal Microbiota during a Critical Developmental Window Has Lasting Metabolic Consequencesbreakdown → | 2014 | 1396 |
| 13 | 2011 | 60 | |
| 14 | 2011 | 25 | |
| 15 | 2010 | 368 | |
| 16 | 2010 | 348 | |
| 17 | 2009 | 150 | |
| 18 | 2008 | 26 | |
| 19 | 2008 | 281 | |
| 20 | 2006 | 80 |
About Nicolas Robine
Nicolas Robine is a scholar working on Cancer Research, Molecular Biology, Hematology, Pathology and Forensic Medicine and Plant Science, having authored 35 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), RNA Research and Splicing (7 papers), MicroRNA in disease regulation (6 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (5 papers), Chromosomal and Genetic Variations (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (1000 citations), Molecular Biology (3.3k citations), Biological Psychiatry (81 citations), Aging (45 citations) and Plant Science (762 citations). Nicolas Robine has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Eric C. Lai, Zhan Gao, Ilseung Cho, Arlin B. Rogers, Laura M. Cox, Huilin Li, Jorge Rodríguez, Shingo Yamanishi, Jiho Sohn and Douglas Mahana. Their work appears in journals such as Genome Research, Nature Communications, RNA, Journal of Clinical Oncology 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.