Nicolas Denans

975 total citations
10 papers, 640 citations indexed

About

Nicolas Denans is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Nicolas Denans has authored 10 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cancer Research. Recurrent topics in Nicolas Denans's work include Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (3 papers) and MicroRNA in disease regulation (2 papers). Nicolas Denans is often cited by papers focused on Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (3 papers) and MicroRNA in disease regulation (2 papers). Nicolas Denans collaborates with scholars based in United States, France and Japan. Nicolas Denans's co-authors include Olivier Pourquié, Tadahiro Iimura, Paul François, Bertrand Bénazéraf, Ruth E. Baker, Charles D. Little, Maria Barna, Tatjana Piotrowski, Zhen Shi and Kotaro Fujii and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nicolas Denans

10 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Denans United States	10	494	157	93	55	44	10	640
Siu‐Shan Mak Japan	11	489 1.0×	257 1.6×	98 1.1×	23 0.4×	63 1.4×	13	812
Tyler R. Huycke United States	10	334 0.7×	193 1.2×	117 1.3×	77 1.4×	36 0.8×	12	601
Bertrand Bénazéraf France	13	597 1.2×	316 2.0×	102 1.1×	90 1.6×	26 0.6×	17	784
Jennifer H. Gutzman United States	15	463 0.9×	279 1.8×	186 2.0×	34 0.6×	66 1.5×	21	767
Yuka Taniguchi Japan	15	470 1.0×	81 0.5×	65 0.7×	42 0.8×	46 1.0×	26	695
Kenzo Ivanovitch United Kingdom	13	554 1.1×	273 1.7×	56 0.6×	51 0.9×	33 0.8×	14	749
Scott Stewart United States	9	386 0.8×	138 0.9×	56 0.6×	15 0.3×	50 1.1×	12	464
Rushikesh Sheth Spain	12	631 1.3×	83 0.5×	175 1.9×	28 0.5×	22 0.5×	15	754
Ashley E.E. Bruce Canada	20	674 1.4×	406 2.6×	116 1.2×	37 0.7×	73 1.7×	29	1.0k
Ralf Cordes Germany	8	744 1.5×	107 0.7×	84 0.9×	26 0.5×	90 2.0×	9	948

Countries citing papers authored by Nicolas Denans

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Denans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Denans

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

All Works

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10 of 10 papers shown

Denans, Nicolas, et al.. (2022). An anti-inflammatory activation sequence governs macrophage transcriptional dynamics during tissue injury in zebrafish. Nature Communications. 13(1). 5356–5356. 25 indexed citations

Zhang, Zijian, et al.. (2021). Optogenetic manipulation of cellular communication using engineered myosin motors. Nature Cell Biology. 23(2). 198–208. 26 indexed citations

Denans, Nicolas, Sungmin Baek, & Tatjana Piotrowski. (2019). Comparing Sensory Organs to Define the Path for Hair Cell Regeneration. Annual Review of Cell and Developmental Biology. 35(1). 567–589. 19 indexed citations

Rocancourt, Didier, et al.. (2018). Timed Collinear Activation of Hox Genes during Gastrulation Controls the Avian Forelimb Position. Current Biology. 29(1). 35–50.e4. 46 indexed citations

Fujii, Kotaro, et al.. (2017). Pervasive translational regulation of the cell signalling circuitry underlies mammalian development. Nature Communications. 8(1). 14443–14443. 46 indexed citations

Agarwal, Vikram, Jennifer H. Mansfield, Nicolas Denans, et al.. (2015). Independent regulation of vertebral number and vertebral identity by microRNA-196 paralogs. Proceedings of the National Academy of Sciences. 112(35). E4884–93. 49 indexed citations

Denans, Nicolas, Tadahiro Iimura, & Olivier Pourquié. (2015). Hox genes control vertebrate body elongation by collinear Wnt repression. eLife. 4. 101 indexed citations

Bénazéraf, Bertrand, Paul François, Ruth E. Baker, et al.. (2010). A random cell motility gradient downstream of FGF controls elongation of an amniote embryo. Nature. 466(7303). 248–252. 238 indexed citations

Rios, Anne C., Nicolas Denans, & Christophe Marcelle. (2009). Real‐time observation of Wnt β‐catenin signaling in the chick embryo. Developmental Dynamics. 239(1). 346–353. 21 indexed citations

10.

Iimura, Tadahiro, Nicolas Denans, & Olivier Pourquié. (2009). Chapter 7 Establishment of Hox Vertebral Identities in the Embryonic Spine Precursors. Current topics in developmental biology. 88. 201–234. 69 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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