Luc Négroni

3.2k total citations
49 papers, 2.3k citations indexed

About

Luc Négroni is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Luc Négroni has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Cell Biology and 11 papers in Spectroscopy. Recurrent topics in Luc Négroni's work include Advanced Proteomics Techniques and Applications (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Genomics and Phylogenetic Studies (4 papers). Luc Négroni is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Genomics and Phylogenetic Studies (4 papers). Luc Négroni collaborates with scholars based in France, Morocco and United Kingdom. Luc Négroni's co-authors include Michel Zivy, Nicolas Sommerer, Marlène Davanture, Thierry Chardot, Christophe Créminon, Delphine Vincent, Brigitte Pollet, Catherine Lapierre, Tomasz Andrzej Pawłowski and Mireille Faurobert and has published in prestigious journals such as Nature Communications, Neuron and The EMBO Journal.

In The Last Decade

Luc Négroni

49 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luc Négroni France 25 1.3k 902 241 180 173 49 2.3k
Majid Ghassemian United States 27 2.1k 1.5× 1.7k 1.9× 62 0.3× 390 2.2× 95 0.5× 62 3.6k
Hui Xue China 38 2.2k 1.6× 571 0.6× 83 0.3× 176 1.0× 42 0.2× 135 4.2k
Gereon Poschmann Germany 25 1.1k 0.8× 194 0.2× 68 0.3× 247 1.4× 105 0.6× 98 2.0k
Magali Court France 14 1.6k 1.2× 258 0.3× 50 0.2× 129 0.7× 364 2.1× 18 2.1k
William Burkhart United States 24 2.0k 1.5× 572 0.6× 47 0.2× 218 1.2× 114 0.7× 42 2.9k
Emanuele Alpi United Kingdom 11 1.6k 1.2× 255 0.3× 36 0.1× 144 0.8× 493 2.8× 14 2.3k
Songqin Pan United States 31 2.5k 1.9× 1.6k 1.7× 85 0.4× 307 1.7× 312 1.8× 50 3.7k
Sho Tabata Japan 33 1.7k 1.2× 910 1.0× 51 0.2× 138 0.8× 53 0.3× 80 3.0k
Michelle Salemi United States 26 956 0.7× 324 0.4× 48 0.2× 326 1.8× 108 0.6× 73 2.0k
Huijun Yang China 32 2.0k 1.5× 1.4k 1.6× 115 0.5× 106 0.6× 36 0.2× 64 3.5k

Countries citing papers authored by Luc Négroni

Since Specialization
Citations

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

Fields of papers citing papers by Luc Négroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Négroni

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Négroni. A scholar is included among the top collaborators of Luc Négroni 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 Luc Négroni. Luc Négroni 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.
Edelweiss, Evelina, Bastien Morlet, Luc Négroni, et al.. (2024). Uncovering the BIN1-SH3 interactome underpinning centronuclear myopathy. eLife. 13. 3 indexed citations
2.
Gógl, Gergő, Bastien Morlet, Pascal Eberling, et al.. (2023). Comparative analysis of PDZ‐binding motifs in the diacylglycerol kinase family. FEBS Journal. 291(4). 690–704. 4 indexed citations
3.
Nalesso, Valérie, Wolfgang Raffelsberger, Marie‐Christine Birling, et al.. (2023). Changes in social behavior with MAPK2 and KCTD13/CUL3 pathways alterations in two new outbred rat models for the 16p11.2 syndromes with autism spectrum disorders. Frontiers in Neuroscience. 17. 1148683–1148683. 5 indexed citations
4.
Thomas, Mélissa, Blandine Guével, Régis Lavigne, et al.. (2023). Metalloprotease‐mediated cleavage of CD95 ligand. FEBS Journal. 290(12). 3145–3164. 3 indexed citations
5.
Gógl, Gergő, A. Cousido-Siah, Bastien Morlet, et al.. (2022). Quantitative fragmentomics allow affinity mapping of interactomes. Nature Communications. 13(1). 5472–5472. 25 indexed citations
6.
Morlet, Bastien, et al.. (2022). Native holdup (nHU) to measure binding affinities from cell extracts. Science Advances. 8(51). eade3828–eade3828. 7 indexed citations
7.
Davidson, Guillaume, Luc Négroni, Giovanni Gambi, et al.. (2021). Citrullination of pyruvate kinase M2 by PADI1 and PADI3 regulates glycolysis and cancer cell proliferation. Nature Communications. 12(1). 1718–1718. 38 indexed citations
8.
Wang, Fang, Farrah El-Saafin, Tao Ye, et al.. (2021). Histone H2Bub1 deubiquitylation is essential for mouse development, but does not regulate global RNA polymerase II transcription. Cell Death and Differentiation. 28(8). 2385–2403. 16 indexed citations
9.
Cvetešić, Nevena, Kapil Gupta, Tao Ye, et al.. (2020). TBPL2/TFIIA complex establishes the maternal transcriptome through oocyte-specific promoter usage. Nature Communications. 11(1). 6439–6439. 23 indexed citations
10.
Négroni, Luc, Michel Zivy, & Claire Lemaire. (2017). Mass Spectrometry of Mitochondrial Membrane Protein Complexes. Methods in molecular biology. 1635. 233–246. 2 indexed citations
11.
Temel, Yasin, et al.. (2016). Integrated and Quantitative Proteomics of Human Tumors. Methods in enzymology on CD-ROM/Methods in enzymology. 586. 229–246. 8 indexed citations
12.
Négroni, Luc, Saı̈d Taouji, Lee Anne Beausang, et al.. (2014). Integrative Quantitative Proteomics Unveils Proteostasis Imbalance in Human Hepatocellular Carcinoma Developed on Nonfibrotic Livers. Molecular & Cellular Proteomics. 13(12). 3473–3483. 18 indexed citations
13.
Mettouchi, Amel, Soline Estrach, Luc Négroni, et al.. (2012). Confluence switch signaling regulates ECM composition and plasmin proteolytic cascade in keratinocytes. Journal of Cell Science. 125(Pt 18). 4241–52. 21 indexed citations
14.
Albertin, Warren, Olivier Langella, Johann Joets, et al.. (2009). Comparative proteomics of leaf, stem, and root tissues of synthetic Brassica napus. PROTEOMICS. 9(3). 793–799. 21 indexed citations
15.
Chiellini, Chiara, Olivia Cochet, Luc Négroni, et al.. (2008). Characterization of human mesenchymal stem cell secretome at early steps of adipocyte and osteoblast differentiation. BMC Molecular Biology. 9(1). 26–26. 104 indexed citations
16.
Minić, Zoran, et al.. (2007). A sub-proteome of Arabidopsis thaliana mature stems trapped on Concanavalin A is enriched in cell wall glycoside hydrolases. Journal of Experimental Botany. 58(10). 2503–2512. 104 indexed citations
17.
Jolivet, Pascale, Émeline Roux, Sabine d’Andrea, et al.. (2004). Protein composition of oil bodies in Arabidopsis thaliana ecotype WS. Plant Physiology and Biochemistry. 42(6). 501–509. 160 indexed citations
18.
Bahrman, Nasser, Luc Négroni, Odile Jaminon, & Jacques Le Gouis. (2004). Wheat leaf proteome analysis using sequence data of proteins separated by two‐dimensional electrophoresis. PROTEOMICS. 4(9). 2672–2684. 13 indexed citations
19.
Fiévet, Julie, Christine Dillmann, Gilles Lagniel, et al.. (2004). Assessing factors for reliable quantitative proteomics based on two‐dimensional gel electrophoresis. PROTEOMICS. 4(7). 1939–1949. 31 indexed citations
20.

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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