Séverine Lottin

1.1k total citations
10 papers, 934 citations indexed

About

Séverine Lottin is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Séverine Lottin has authored 10 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Séverine Lottin's work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (4 papers). Séverine Lottin is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (4 papers). Séverine Lottin collaborates with scholars based in France and United States. Séverine Lottin's co-authors include Jean Coll, Thierry Dugimont, Éric Adriaenssens, Jean‐Jacques Curgy, Nathalie Berteaux, Hubert Hondermarck, Sébastien Pinte, Didier Monté, Brigitte Quatannens and Lionel Dumont and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and American Journal Of Pathology.

In The Last Decade

Séverine Lottin

10 papers receiving 920 citations

Peers

Séverine Lottin

MB

CR

GENET

EPIDE

ONCOL

Jae-Sung Yi United States

Emilie Marion Canuto Italy

Cecil Han United States

Feng Miao China

Manuela Lanzafame Italy

Laia Simó‐Riudalbas Spain

Tal Salz United States

Rochelle L. Tiedemann United States

Stephanie Nevins United States

Anneke Q. van Hoesel Netherlands

Jae-Sung Yi United States

Séverine Lottin

929 ×1.1

MB

818 ×1.1

CR

39 ×0.4

GENET

66 ×0.9

EPIDE

55 ×1.0

ONCOL

Citations per year, relative to Séverine Lottin Séverine Lottin (= 1×) peers Jae-Sung Yi

Countries citing papers authored by Séverine Lottin

Since Specialization

Citations

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

Fields of papers citing papers by Séverine Lottin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Lottin

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

Berteaux, Nathalie, Séverine Lottin, Didier Monté, et al.. (2005). H19 mRNA-like Noncoding RNA Promotes Breast Cancer Cell Proliferation through Positive Control by E2F1. Journal of Biological Chemistry. 280(33). 29625–29636. 303 indexed citations

2.

Berteaux, Nathalie, Séverine Lottin, Éric Adriaenssens, et al.. (2004). Hormonal regulation of H19 gene expression in prostate epithelial cells. Journal of Endocrinology. 183(1). 69–78. 30 indexed citations

3.

Lottin, Séverine, Éric Adriaenssens, Nathalie Berteaux, et al.. (2004). The human H19 gene is frequently overexpressed in myometrium and stroma during pathological endometrial proliferative events. European Journal of Cancer. 41(1). 168–177. 27 indexed citations

4.

Lottin, Séverine. (2002). Overexpression of an ectopic H19 gene enhances the tumorigenic properties of breast cancer cells. Carcinogenesis. 23(11). 1885–1895. 220 indexed citations

5.

Adriaenssens, Éric, Séverine Lottin, Nathalie Berteaux, et al.. (2002). Cross-Talk between Mesenchyme and Epithelium Increases H19 Gene Expression during Scattering and Morphogenesis of Epithelial Cells. Experimental Cell Research. 275(2). 215–229. 32 indexed citations

6.

Lottin, Séverine, Anne‐Sophie Vercoutter‐Edouart, Éric Adriaenssens, et al.. (2002). Thioredoxin post-transcriptional regulation by H19 provides a new function to mRNA-like non-coding RNA. Oncogene. 21(10). 1625–1631. 44 indexed citations

7.

Toillon, Robert‐Alain, et al.. (2000). Normal Breast Epithelial Cells Induce Apoptosis of MCF-7 Breast Cancer Cells through a p53-Mediated Pathway. PubMed. 3(6). 338–344. 6 indexed citations

8.

Adriaenssens, Éric, Séverine Lottin, Thierry Dugimont, et al.. (1999). Steroid hormones modulate H19 gene expression in both mammary gland and uterus. Oncogene. 18(31). 4460–4473. 74 indexed citations

9.

Dugimont, Thierry, Éric Adriaenssens, Séverine Lottin, et al.. (1998). The H19 TATA-less promoter is efficiently repressed by wild-type tumor suppressor gene product p53. Oncogene. 16(18). 2395–2401. 92 indexed citations

10.

Dumont, Lionel, Séverine Lottin, Alain Leprêtre, et al.. (1998). H19 Overexpression in Breast Adenocarcinoma Stromal Cells Is Associated with Tumor Values and Steroid Receptor Status but Independent of p53 and Ki-67 Expression. American Journal Of Pathology. 153(5). 1597–1607. 106 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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