Nicolas Dénervaud

820 total citations
7 papers, 602 citations indexed

About

Nicolas Dénervaud is a scholar working on Molecular Biology, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicolas Dénervaud has authored 7 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Biophysics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nicolas Dénervaud's work include Gene Regulatory Network Analysis (3 papers), CRISPR and Genetic Engineering (2 papers) and Fungal and yeast genetics research (2 papers). Nicolas Dénervaud is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), CRISPR and Genetic Engineering (2 papers) and Fungal and yeast genetics research (2 papers). Nicolas Dénervaud collaborates with scholars based in Switzerland. Nicolas Dénervaud's co-authors include Didier Trono, Sylvain Meylan, Giovanna Ambrosini, Angela Ciuffi, Nadine Zangger, Philipp Bücher, Anna C. Groner, Sebastian J. Maerkl, Arun S. Rajkumar and Martin Fussenegger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Nicolas Dénervaud

7 papers receiving 598 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 Dénervaud Switzerland 6 531 72 70 59 39 7 602
Riccardo Dainese Switzerland 8 300 0.6× 31 0.4× 29 0.4× 63 1.1× 30 0.8× 9 388
Petra Jakob Germany 9 474 0.9× 40 0.6× 145 2.1× 20 0.3× 29 0.7× 10 587
John Yong United States 5 492 0.9× 25 0.3× 68 1.0× 22 0.4× 40 1.0× 8 579
Fabien Moretto United Kingdom 8 340 0.6× 52 0.7× 29 0.4× 37 0.6× 28 0.7× 9 468
Sabine M. Görisch Germany 7 459 0.9× 59 0.8× 33 0.5× 19 0.3× 62 1.6× 7 538
Md. Abul Hassan Samee United States 12 534 1.0× 85 1.2× 105 1.5× 15 0.3× 19 0.5× 34 614
Christoph G. Gäbelein Switzerland 9 207 0.4× 63 0.9× 19 0.3× 55 0.9× 21 0.5× 13 348
Yiming Chang United States 5 347 0.7× 132 1.8× 75 1.1× 20 0.3× 31 0.8× 7 433
Marco Geymonat United Kingdom 17 821 1.5× 191 2.7× 30 0.4× 28 0.5× 21 0.5× 28 873
David Melvin United Kingdom 5 358 0.7× 47 0.7× 112 1.6× 15 0.3× 17 0.4× 10 418

Countries citing papers authored by Nicolas Dénervaud

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Dénervaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Dénervaud

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

All Works

7 of 7 papers shown
1.
Kubik, Slawomir, Bhaswar Ghosh, Maria Jessica Bruzzone, et al.. (2014). Two distinct promoter architectures centered on dynamic nucleosomes control ribosomal protein gene transcription. Genes & Development. 28(15). 1695–1709. 88 indexed citations
2.
Rajkumar, Arun S., Nicolas Dénervaud, & Sebastian J. Maerkl. (2013). Mapping the fine structure of a eukaryotic promoter input-output function. Nature Genetics. 45(10). 1207–1215. 42 indexed citations
3.
Dénervaud, Nicolas, Ricard Delgado-Gonzalo, Pascal Damay, et al.. (2013). A chemostat array enables the spatio-temporal analysis of the yeast proteome. Proceedings of the National Academy of Sciences. 110(39). 15842–15847. 102 indexed citations
4.
Groner, Anna C., Sylvain Meylan, Angela Ciuffi, et al.. (2010). KRAB–Zinc Finger Proteins and KAP1 Can Mediate Long-Range Transcriptional Repression through Heterochromatin Spreading. PLoS Genetics. 6(3). e1000869–e1000869. 272 indexed citations
5.
Tigges, Marcel, et al.. (2010). A synthetic low-frequency mammalian oscillator. Nucleic Acids Research. 38(8). 2702–2711. 70 indexed citations
6.
Delgado-Gonzalo, Ricard, Nicolas Dénervaud, Sebastian J. Maerkl, & Michaël Unser. (2010). Multi-target tracking of packed yeast cells. Zurich Open Repository and Archive (University of Zurich). 4. 544–547. 4 indexed citations
7.
Weber, Wilfried, et al.. (2009). A synthetic metabolite-based mammalian inter-cellsignaling system. Molecular BioSystems. 5(7). 757–763. 24 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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