Ninon Very

421 total citations
9 papers, 275 citations indexed

About

Ninon Very is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Ninon Very has authored 9 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Immunology. Recurrent topics in Ninon Very's work include Glycosylation and Glycoproteins Research (9 papers), RNA modifications and cancer (4 papers) and Galectins and Cancer Biology (3 papers). Ninon Very is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), RNA modifications and cancer (4 papers) and Galectins and Cancer Biology (3 papers). Ninon Very collaborates with scholars based in France and United States. Ninon Very's co-authors include Ikram El Yazidi‐Belkoura, Tony Lefebvre, Stephan Hardivillé, Anne‐Sophie Vercoutter‐Edouart, Laurent Dubuquoy, Agata Steenackers, Caroline Dubuquoy, Vanessa Dehennaut, Céline Schulz and Marlène Mortuaire and has published in prestigious journals such as Oncogene, Trends in Cell Biology and Cellular and Molecular Life Sciences.

In The Last Decade

Ninon Very

9 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ninon Very France	7	234	104	65	40	28	9	275
Tianmiao Huang China	12	254 1.1×	113 1.1×	48 0.7×	63 1.6×	35 1.3×	14	307
Sunmi Lee South Korea	11	205 0.9×	60 0.6×	27 0.4×	42 1.1×	34 1.2×	15	325
Zachary A. Bacigalupa United States	8	289 1.2×	132 1.3×	88 1.4×	93 2.3×	30 1.1×	11	342
Yumi Ueda Japan	9	199 0.9×	51 0.5×	49 0.8×	28 0.7×	53 1.9×	15	321
Felix Kopp United States	4	243 1.0×	38 0.4×	81 1.2×	37 0.9×	44 1.6×	5	348
Wenbin Hong China	5	173 0.7×	83 0.8×	19 0.3×	65 1.6×	31 1.1×	16	297
Lanlan Zang China	12	252 1.1×	37 0.4×	71 1.1×	67 1.7×	48 1.7×	25	382
Miranda Machacek United States	7	290 1.2×	116 1.1×	123 1.9×	50 1.3×	34 1.2×	15	368
Christopher M. Russo United States	12	139 0.6×	111 1.1×	66 1.0×	17 0.4×	33 1.2×	19	302
Zhong‐Yin Zhang United States	7	278 1.2×	182 1.8×	28 0.4×	23 0.6×	42 1.5×	8	383

Countries citing papers authored by Ninon Very

Since Specialization

Citations

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

Fields of papers citing papers by Ninon Very

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninon Very

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

All Works

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9 of 9 papers shown

Very, Ninon, Bart Staels, & Jérôme Eeckhoute. (2024). Increased O-GlcNAcylation connects metabolic to transcriptional reprogramming during pathophysiological cell activation. Trends in Cell Biology. 34(12). 988–991. 3 indexed citations

Very, Ninon & Ikram El Yazidi‐Belkoura. (2022). Targeting O-GlcNAcylation to overcome resistance to anti-cancer therapies. Frontiers in Oncology. 12. 960312–960312. 11 indexed citations

Very, Ninon, Bélinda Duchêne, Pierre Rybarczyk, et al.. (2022). Evaluation of the expression of fatty acid synthase and O‑GlcNAc transferase in patients with liver cancer by exploration of transcriptome databases and experimental approaches. Oncology Letters. 23(4). 105–105. 4 indexed citations

Very, Ninon, Stephan Hardivillé, Julien Thévenet, et al.. (2021). Thymidylate synthase O-GlcNAcylation: a molecular mechanism of 5-FU sensitization in colorectal cancer. Oncogene. 41(5). 745–756. 20 indexed citations

Very, Ninon, Céline Schulz, Marlène Mortuaire, et al.. (2021). Dual regulation of fatty acid synthase (FASN) expression by O-GlcNAc transferase (OGT) and mTOR pathway in proliferating liver cancer cells. Cellular and Molecular Life Sciences. 78(13). 5397–5413. 36 indexed citations

Very, Ninon, Madjid Djouina, Julien Thévenet, et al.. (2020). O-GlcNAcylation Links Nutrition to the Epigenetic Downregulation of UNC5A during Colon Carcinogenesis. Cancers. 12(11). 3168–3168. 12 indexed citations

Very, Ninon, Anne‐Sophie Vercoutter‐Edouart, Tony Lefebvre, Stephan Hardivillé, & Ikram El Yazidi‐Belkoura. (2018). Cross-Dysregulation of O-GlcNAcylation and PI3K/AKT/mTOR Axis in Human Chronic Diseases. Frontiers in Endocrinology. 9. 602–602. 66 indexed citations

Very, Ninon, Agata Steenackers, Caroline Dubuquoy, et al.. (2018). Cross regulation between mTOR signaling and O-GlcNAcylation. Journal of Bioenergetics and Biomembranes. 50(3). 213–222. 40 indexed citations

Very, Ninon, Tony Lefebvre, & Ikram El Yazidi‐Belkoura. (2017). Drug resistance related to aberrant glycosylation in colorectal cancer. Oncotarget. 9(1). 1380–1402. 83 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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