Nicolas Robert

2.6k total citations
74 papers, 1.7k citations indexed

About

Nicolas Robert is a scholar working on Molecular Biology, Hematology and Global and Planetary Change. According to data from OpenAlex, Nicolas Robert has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Hematology and 19 papers in Global and Planetary Change. Recurrent topics in Nicolas Robert's work include Multiple Myeloma Research and Treatments (23 papers), Protein Degradation and Inhibitors (16 papers) and Forest Management and Policy (14 papers). Nicolas Robert is often cited by papers focused on Multiple Myeloma Research and Treatments (23 papers), Protein Degradation and Inhibitors (16 papers) and Forest Management and Policy (14 papers). Nicolas Robert collaborates with scholars based in France, Germany and Italy. Nicolas Robert's co-authors include Jérôme Moreaux, Dirk Hose, Bernard Klein, Michel Jourdan, Alboukadel Kassambara, Delphine Duprez, Marie-Ange Bonnin, Andrea Camia, Christophe Duperray and Ragnar Jonsson and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Nicolas Robert

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Robert France 24 591 317 287 242 189 74 1.7k
Junko Morimoto Japan 30 782 1.3× 287 0.9× 94 0.3× 885 3.7× 33 0.2× 129 3.0k
J. Thiele Germany 26 721 1.2× 176 0.6× 648 2.3× 135 0.6× 31 0.2× 121 2.4k
Jean Dubé Canada 29 345 0.6× 157 0.5× 130 0.5× 71 0.3× 27 0.1× 134 2.9k
Younghun Jung South Korea 25 840 1.4× 220 0.7× 692 2.4× 568 2.3× 97 0.5× 71 3.0k
Ann De Becker Belgium 26 817 1.4× 127 0.4× 413 1.4× 167 0.7× 130 0.7× 75 2.6k
Yaping Ye China 31 1.5k 2.5× 201 0.6× 52 0.2× 146 0.6× 170 0.9× 85 2.8k
Zhou Yu China 23 455 0.8× 118 0.4× 26 0.1× 191 0.8× 31 0.2× 163 1.8k
Daniel Auclair United States 31 1.6k 2.6× 270 0.9× 817 2.8× 346 1.4× 10 0.1× 137 3.5k
Tomáš Soukup Czechia 26 592 1.0× 484 1.5× 23 0.1× 50 0.2× 35 0.2× 113 2.3k
Richard R. Harwood United Kingdom 32 407 0.7× 482 1.5× 36 0.1× 30 0.1× 59 0.3× 92 4.1k

Countries citing papers authored by Nicolas Robert

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Robert

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Robert. A scholar is included among the top collaborators of Nicolas Robert 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 Nicolas Robert. Nicolas Robert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Requirand, Guilhem, Nicolas Robert, Guillaume Cartron, et al.. (2023). Lipid-Mediated Modulation of DNA Damage Signaling As a Prognostic and Therapeutic Strategy Against Multiple Myeloma. Blood. 142(Supplement 1). 3322–3322.
2.
Clarence, Tereza, et al.. (2023). Robust 3D modeling reveals spatiosyntenic properties of animal genomes. iScience. 26(3). 106136–106136. 7 indexed citations
3.
Robert, Nicolas, et al.. (2022). SYNPHONI: scale-free and phylogeny-aware reconstruction of synteny conservation and transformation across animal genomes. Bioinformatics. 38(24). 5434–5436. 4 indexed citations
4.
Giuntoli, Jacopo, José I. Barredo, Valerio Avitabile, et al.. (2022). The quest for sustainable forest bioenergy: win-win solutions for climate and biodiversity. Renewable and Sustainable Energy Reviews. 159. 112180–112180. 39 indexed citations
5.
Barredo, José I., Jacopo Giuntoli, Giacomo Grassi, et al.. (2022). The role of scientists in EU forest-related policy in the Green Deal era. One Earth. 5(1). 10–13. 10 indexed citations
6.
Calcino, Andrew, et al.. (2021). Ecdysis‐related neuropeptide expression and metamorphosis in a non‐ecdysozoan bilaterian. Evolution. 75(9). 2237–2250. 3 indexed citations
7.
Barbier, Maxime, Léa David, Frank Dhermain, et al.. (2021). Distribution and abundance of common bottlenose dolphin (Tursiops truncatus) over the French Mediterranean continental shelf. Marine Mammal Science. 38(1). 212–222. 7 indexed citations
8.
Kassambara, Alboukadel, Angélique Bruyer, Nicolas Robert, et al.. (2021). RNA-Sequencing-Based Transcriptomic Score with Prognostic and Theranostic Values in Multiple Myeloma. Journal of Personalized Medicine. 11(10). 988–988. 9 indexed citations
9.
Robert, Nicolas, et al.. (2020). Ancestral Role of Ecdysis-Related Neuropeptides in Animal Life Cycle Transitions. Current Biology. 31(1). 207–213.e4. 24 indexed citations
10.
Chatonnet, Fabrice, Aurélien A. Sérandour, Gersende Caron, et al.. (2019). The hydroxymethylome of multiple myeloma identifies FAM72D as a 1q21 marker linked to proliferation. Haematologica. 105(3). 774–783. 27 indexed citations
11.
Jourdan, Michel, Nicolas Robert, Guilhem Requirand, et al.. (2019). Comprehensive characterization of the mutational landscape in multiple myeloma cell lines reveals potential drivers and pathways associated with tumor progression and drug resistance. Theranostics. 9(2). 540–553. 47 indexed citations
12.
Boussac, Hugues de, Angélique Bruyer, Michel Jourdan, et al.. (2019). Kinome expression profiling to target new therapeutic avenues in multiple myeloma. Haematologica. 105(3). 784–795. 34 indexed citations
13.
Robert, Nicolas, et al.. (2018). Retinoic acid signaling and neurogenic niche regulation in the developing peripheral nervous system of the cephalochordate amphioxus. Cellular and Molecular Life Sciences. 75(13). 2407–2429. 15 indexed citations
14.
Smedt, Eva De, Ken Maes, Stefaan Verhulst, et al.. (2017). Loss of RASSF4 Expression in Multiple Myeloma Promotes RAS-Driven Malignant Progression. Cancer Research. 78(5). 1155–1168. 30 indexed citations
15.
Jourdan, Michel, Nicolas Robert, Maïlys Cren, et al.. (2017). Characterization of human FCRL4-positive B cells. PLoS ONE. 12(6). e0179793–e0179793. 17 indexed citations
16.
Robert, Nicolas, et al.. (2016). EGR1 Regulates Transcription Downstream of Mechanical Signals during Tendon Formation and Healing. PLoS ONE. 11(11). e0166237–e0166237. 51 indexed citations
17.
Robert, Nicolas, et al.. (2014). Influence of Atmospheric Pressure on Infrarenal Abdominal Aortic Aneurysm Rupture. Annals of Vascular Surgery. 28(3). 547–553. 10 indexed citations
18.
Guerquin, Marie-Justine, Benjamin Charvet, Geoffroy Nourissat, et al.. (2013). Transcription factor EGR1 directs tendon differentiation and promotes tendon repair. Journal of Clinical Investigation. 123(8). 3564–3576. 201 indexed citations
19.
Robert, Nicolas. (2009). Carsten Stahn. -The Law and Practice of International Territorial Administration. Versailles to Iraq and Beyond. Revue internationale de droit comparé. 61(21). 456–465. 1 indexed citations
20.
Jourdan, Michel, Jérôme Moreaux, John De Vos, et al.. (2007). Targeting NF‐κB pathway with an IKK2 inhibitor induces inhibition of multiple myeloma cell growth. British Journal of Haematology. 138(2). 160–168. 44 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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