Rémi Dulize

635 total citations
17 papers, 350 citations indexed

About

Rémi Dulize is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Rémi Dulize has authored 17 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Rémi Dulize's work include Genomics, phytochemicals, and oxidative stress (3 papers), Gene expression and cancer classification (3 papers) and Air Quality and Health Impacts (2 papers). Rémi Dulize is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Gene expression and cancer classification (3 papers) and Air Quality and Health Impacts (2 papers). Rémi Dulize collaborates with scholars based in Switzerland, Singapore and Italy. Rémi Dulize's co-authors include Nikolai V. Ivanov, Julia Hoeng, Manuel C. Peitsch, Emmanuel Guedj, Carole Mathis, Florian Martin, Diego Marescotti, Karine Baumer, Stefan Frentzel and Stefano Acali and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Rémi Dulize

17 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rémi Dulize Switzerland 12 166 97 90 68 45 17 350
Céline Merg Switzerland 12 129 0.8× 116 1.2× 110 1.2× 74 1.1× 80 1.8× 17 350
Brian P. Frushour Switzerland 9 239 1.4× 41 0.4× 129 1.4× 39 0.6× 24 0.5× 10 451
Anna L. Lang United States 11 101 0.6× 81 0.8× 42 0.5× 46 0.7× 17 0.4× 17 343
Robert W. Lange United States 7 113 0.7× 100 1.0× 64 0.7× 39 0.6× 22 0.5× 9 331
Jiawei Zhou China 10 111 0.7× 32 0.3× 41 0.5× 94 1.4× 27 0.6× 30 344
Annett Janusch Roi Italy 3 75 0.5× 113 1.2× 15 0.2× 57 0.8× 10 0.2× 5 312
Yingying Zeng China 12 164 1.0× 32 0.3× 43 0.5× 36 0.5× 89 2.0× 27 351
D. E. Prentice United Kingdom 7 68 0.4× 44 0.5× 67 0.7× 72 1.1× 23 0.5× 7 350
Siyu Zhu China 11 209 1.3× 17 0.2× 45 0.5× 30 0.4× 29 0.6× 28 365
Yuanjun Shen United States 11 87 0.5× 21 0.2× 27 0.3× 25 0.4× 60 1.3× 28 272

Countries citing papers authored by Rémi Dulize

Since Specialization
Citations

This map shows the geographic impact of Rémi Dulize'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 Rémi Dulize with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Dulize more than expected).

Fields of papers citing papers by Rémi Dulize

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rémi Dulize. 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 Rémi Dulize. The network helps show where Rémi Dulize may publish in the future.

Co-authorship network of co-authors of Rémi Dulize

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Dulize. A scholar is included among the top collaborators of Rémi Dulize based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rémi Dulize. Rémi Dulize is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sierro, Nicolas, et al.. (2024). Chromosome-level genome assemblies of Nicotiana tabacum, Nicotiana sylvestris, and Nicotiana tomentosiformis. Scientific Data. 11(1). 135–135. 14 indexed citations
2.
Talikka, Marja, Alain Sewer, Nicolas Sierro, et al.. (2023). Tobacco Alkaloid Assessment in a DSS-Induced Colitis Mouse Model with a Fully Humanized Immune System. International Journal of Molecular Sciences. 24(7). 6419–6419. 4 indexed citations
3.
Poussin, Carine, Diogo A. R. S. Latino, Rémi Dulize, et al.. (2022). Systems biology reveals anatabine to be an NRF2 activator. Frontiers in Pharmacology. 13. 1011184–1011184. 4 indexed citations
4.
Xiang, Yang, Karsta Luettich, Florian Martin, et al.. (2021). Discriminating Spontaneous From Cigarette Smoke and THS 2.2 Aerosol Exposure-Related Proliferative Lung Lesions in A/J Mice by Using Gene Expression and Mutation Spectrum Data. Frontiers in Toxicology. 3. 634035–634035. 1 indexed citations
5.
Sasso, Giuseppe Lo, Blaine Phillips, Alain Sewer, et al.. (2020). The reduction of DSS-induced colitis severity in mice exposed to cigarette smoke is linked to immune modulation and microbial shifts. Scientific Reports. 10(1). 3829–3829. 28 indexed citations
6.
Ruiz, Pedro A., Ulrike Kogel, Giuseppe Lo Sasso, et al.. (2020). Anatabine ameliorates intestinal inflammation and reduces the production of pro-inflammatory factors in a dextran sulfate sodium mouse model of colitis. Journal of Inflammation. 17(1). 29–29. 13 indexed citations
7.
Sewer, Alain, Filippo Zanetti, Anita R. Iskandar, et al.. (2020). A meta-analysis of microRNAs expressed in human aerodigestive epithelial cultures and their role as potential biomarkers of exposure response to nicotine-containing products. Toxicology Reports. 7. 1282–1295. 3 indexed citations
8.
Marescotti, Diego, Carole Mathis, Vincenzo Belcastro, et al.. (2019). Systems toxicology assessment of a representative e-liquid formulation using human primary bronchial epithelial cells. Toxicology Reports. 7. 67–80. 15 indexed citations
9.
10.
Toorn, Marco van der, Alain Sewer, Diego Marescotti, et al.. (2018). The biological effects of long-term exposure of human bronchial epithelial cells to total particulate matter from a candidate modified-risk tobacco product. Toxicology in Vitro. 50. 95–108. 25 indexed citations
11.
González-Suárez, Ignacio, Diego Marescotti, Florian Martin, et al.. (2017). In Vitro Systems Toxicology Assessment of Nonflavored e-Cigarette Liquids in Primary Lung Epithelial Cells. 3(1). 41–55. 21 indexed citations
12.
Majeed, Shoaib, Emmanuel Guedj, Rémi Dulize, et al.. (2015). Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke. Journal of Visualized Experiments. 33 indexed citations
13.
Majeed, Shoaib, Emmanuel Guedj, Rémi Dulize, et al.. (2015). Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke. Journal of Visualized Experiments. 4 indexed citations
14.
González-Suárez, Ignacio, Florian Martin, Diego Marescotti, et al.. (2015). In Vitro Systems Toxicology Assessment of a Candidate Modified Risk Tobacco Product Shows Reduced Toxicity Compared to That of a Conventional Cigarette. Chemical Research in Toxicology. 29(1). 3–18. 52 indexed citations
15.
Poussin, Carine, Carole Mathis, Leonidas G. Alexopoulos, et al.. (2014). The species translation challenge—A systems biology perspective on human and rat bronchial epithelial cells. Scientific Data. 1(1). 140009–140009. 38 indexed citations
16.
González-Suárez, Ignacio, Alain Sewer, Paul Walker, et al.. (2014). Systems Biology Approach for Evaluating the Biological Impact of Environmental Toxicantsin Vitro. Chemical Research in Toxicology. 27(3). 367–376. 24 indexed citations
17.
Rhrissorrakrai, Kahn, Vincenzo Belcastro, Erhan Bilal, et al.. (2014). Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge. Bioinformatics. 31(4). 471–483. 56 indexed citations

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.

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