Constance Vennin

654 total citations
10 papers, 504 citations indexed

About

Constance Vennin is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Constance Vennin has authored 10 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Constance Vennin's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Constance Vennin is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Constance Vennin collaborates with scholars based in France, Germany and Switzerland. Constance Vennin's co-authors include Éric Adriaenssens, Xuefen Le Bourhis, Nathalie Spruyt, Pierre‐Olivier Angrand, Thierry Chassat, Roland P. Bourette, Fatima Zohra Dahmani, Pascal Finetti, François Bertucci and Sylvain Julien and has published in prestigious journals such as Cerebral Cortex, Cancer Letters and Oncotarget.

In The Last Decade

Constance Vennin

10 papers receiving 502 citations

Peers

Constance Vennin

MB

CR

EPIDE

PHARM

SURGE

Tomomi Ohmura Japan

Shobana Sekar United States

Marcos Galán-Ganga Spain

Rocío Rodriguez Spain

Ping Pan United States

Mohammad Reza Keikhaee Japan

Ken Matsuura Japan

Jay I. Phillips United States

Renuka Prasad South Korea

Tomomi Ohmura Japan

Constance Vennin

233 ×0.6

MB

144 ×0.4

CR

12 ×0.3

EPIDE

8 ×0.2

PHARM

17 ×0.7

SURGE

Citations per year, relative to Constance Vennin Constance Vennin (= 1×) peers Tomomi Ohmura

Countries citing papers authored by Constance Vennin

Since Specialization

Citations

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

Fields of papers citing papers by Constance Vennin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constance Vennin

This figure shows the co-authorship network connecting the top 25 collaborators of Constance Vennin. A scholar is included among the top collaborators of Constance Vennin 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 Constance Vennin. Constance Vennin 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

1.

Vennin, Constance, et al.. (2024). Long non-coding RNAs expression and regulation across different brain regions in primates. Scientific Data. 11(1). 545–545. 6 indexed citations

2.

Vennin, Constance, Charlotte Hewel, Hristo Todorov, et al.. (2022). A Resilience Related Glial-Neurovascular Network Is Transcriptionally Activated after Chronic Social Defeat in Male Mice. Cells. 11(21). 3405–3405. 5 indexed citations

3.

Vennin, Constance, Pamela Völkel, Pierre‐Olivier Angrand, et al.. (2020). Enhancement of Breast Cancer Cell Aggressiveness by lncRNA H19 and its Mir-675 Derivative: Insight into Shared and Different Actions. Cancers. 12(7). 1730–1730. 30 indexed citations

4.

Maroso, Mattia, Susann Ludewig, Wenqiang Fan, et al.. (2018). Neural stem cell lineage-specific cannabinoid type-1 receptor regulates neurogenesis and plasticity in the adult mouse hippocampus. Cerebral Cortex. 28(12). 4454–4471. 43 indexed citations

5.

Völkel, Pamela, et al.. (2017). The histone lysine methyltransferase Ezh2 is required for maintenance of the intestine integrity and for caudal fin regeneration in zebrafish. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(10). 1079–1093. 29 indexed citations

6.

Vennin, Constance, Nathalie Spruyt, Y Robin, et al.. (2016). The long non-coding RNA 91H increases aggressive phenotype of breast cancer cells and up-regulates H19/IGF2 expression through epigenetic modifications. Cancer Letters. 385. 198–206. 59 indexed citations

7.

Vennin, Constance, et al.. (2015). Enrichment of Human Stem-Like Prostate Cells with s-SHIP Promoter Activity Uncovers a Role in Stemness for the Long Noncoding RNA H19. Stem Cells and Development. 24(10). 1252–1262. 43 indexed citations

8.

Angrand, Pierre‐Olivier, Constance Vennin, Xuefen Le Bourhis, & Éric Adriaenssens. (2015). The role of long non-coding RNAs in genome formatting and expression. Frontiers in Genetics. 6. 165–165. 108 indexed citations

9.

Vennin, Constance, Nathalie Spruyt, Fatima Zohra Dahmani, et al.. (2015). H19non coding RNA-derived miR-675 enhances tumorigenesis and metastasis of breast cancer cells by downregulating c-Cbl and Cbl-b. Oncotarget. 6(30). 29209–29223. 170 indexed citations

10.

Vennin, Constance, Fatima Zohra Dahmani, Nathalie Spruyt, & Éric Adriaenssens. (2013). Role of long non-coding RNA in cells: Example of the <i>H</i>19/<i>IGF</i>2 locus. Advances in Bioscience and Biotechnology. 4(5). 34–44. 11 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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