Séverine Mollard

1.2k total citations · 1 hit paper
14 papers, 821 citations indexed

About

Séverine Mollard is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Séverine Mollard has authored 14 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Séverine Mollard's work include Cancer Cells and Metastasis (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer Research and Treatments (2 papers). Séverine Mollard is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer Research and Treatments (2 papers). Séverine Mollard collaborates with scholars based in France and United Kingdom. Séverine Mollard's co-authors include Jo L. Bramhall, Chiara Fornari, Giovanni Y. Di Veroli, Duncan I. Jodrell, Frances M. Richards, Dennis Wang, Joseph Ciccolini, Athanassios Iliadis, Dominique Barbolosi and Benoît Funalot and has published in prestigious journals such as Bioinformatics, Cancer Research and Scientific Reports.

In The Last Decade

Séverine Mollard

14 papers receiving 811 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combenefit: an interactive platform for the analysis and visualization of drug combinations

2016 493 citations Giovanni Y. Di Veroli, Chiara Fornari et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Séverine Mollard France	11	444	225	109	84	82	14	821
Chiara Fornari United Kingdom	7	434 1.0×	232 1.0×	93 0.9×	38 0.5×	68 0.8×	12	788
Jo L. Bramhall United Kingdom	5	390 0.9×	204 0.9×	95 0.9×	45 0.5×	69 0.8×	9	760
Rebecca Kirk Austria	9	391 0.9×	247 1.1×	89 0.8×	151 1.8×	60 0.7×	68	831
O. Graciela Scharovsky Argentina	19	370 0.8×	479 2.1×	221 2.0×	82 1.0×	130 1.6×	52	1.1k
Tijana Stanković Serbia	18	386 0.9×	183 0.8×	115 1.1×	74 0.9×	64 0.8×	34	670
Orit Lavi United States	11	314 0.7×	207 0.9×	147 1.3×	58 0.7×	45 0.5×	15	593
Jean-Pierre Gillet United States	11	562 1.3×	556 2.5×	282 2.6×	111 1.3×	91 1.1×	13	1.0k
Carmen Aanei France	12	484 1.1×	219 1.0×	205 1.9×	60 0.7×	92 1.1×	22	979
Yi Jer Tan China	13	694 1.6×	373 1.7×	260 2.4×	117 1.4×	163 2.0×	24	1.4k
Larry M. Weisenthal United States	16	462 1.0×	413 1.8×	151 1.4×	66 0.8×	139 1.7×	33	1.1k

Countries citing papers authored by Séverine Mollard

Since Specialization

Citations

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

Fields of papers citing papers by Séverine Mollard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Mollard

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

All Works

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14 of 14 papers shown

Mollard, Séverine, et al.. (2017). Model driven optimization of antiangiogenics + cytotoxics combination: application to breast cancer mice treated with bevacizumab + paclitaxel doublet leads to reduced tumor growth and fewer metastasis. Oncotarget. 8(14). 23087–23098. 26 indexed citations

Mollard, Séverine, Raphaëlle Fanciullino, Sarah Giacometti, et al.. (2016). In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling. Scientific Reports. 6(1). 36173–36173. 19 indexed citations

Veroli, Giovanni Y. Di, Chiara Fornari, Dennis Wang, et al.. (2016). Combenefit: an interactive platform for the analysis and visualization of drug combinations. Bioinformatics. 32(18). 2866–2868. 493 indexed citations breakdown →

Hartung, Niklas, Séverine Mollard, Dominique Barbolosi, et al.. (2014). Mathematical Modeling of Tumor Growth and Metastatic Spreading: Validation in Tumor-Bearing Mice. Cancer Research. 74(22). 6397–6407. 85 indexed citations

Mollard, Séverine, Hao Qiu, Laurence Richard, et al.. (2014). In vitro 3D angiogenesis assay in egg white matrix: comparison to Matrigel, compatibility to various species, and suitability for drug testing. Laboratory Investigation. 94(3). 340–349. 29 indexed citations

Mollard, Séverine, et al.. (2014). Abstract 3677: Model-based optimization of combined antiangiogenic + cytotoxics modalities: application to the bevacizumab-paclitaxel association in breast cancer models. Cancer Research. 74(19_Supplement). 3677–3677. 3 indexed citations

Fanciullino, Raphaëlle, Séverine Mollard, Florian Corréard, et al.. (2014). Biodistribution, Tumor Uptake and Efficacy of 5-FU-Loaded Liposomes: Why Size Matters. Pharmaceutical Research. 31(10). 2677–2684. 24 indexed citations

Fanciullino, Raphaëlle, Séverine Mollard, Sarah Giacometti, et al.. (2013). In Vitro and In Vivo Evaluation of Lipofufol, a New Triple Stealth Liposomal Formulation of Modulated 5-Fu: Impact on Efficacy and Toxicity. Pharmaceutical Research. 30(5). 1281–1290. 15 indexed citations

Serdjebi, Cindy, Séverine Mollard, Régis Costello, et al.. (2013). Abstract 2208: Cytidine deaminase deficiency and severe toxicities upon aza-cytidine intake: Clinical observations and experimental evidences.. Cancer Research. 73(8_Supplement). 2208–2208. 2 indexed citations

10.

Mollard, Séverine, Joseph Ciccolini, Niklas Hartung, et al.. (2013). Abstract 402: A new mathematical model for describing metastatic spreading: Validation in tumor-bearing mice, confrontation with clinical data and in silico simulations to optimize treatment modalities.. Cancer Research. 73(8_Supplement). 402–402. 1 indexed citations

11.

Mollard, Séverine, Laurence Richard, Karine Durand, et al.. (2012). Fingolimod inhibits PDGF-B-induced migration of vascular smooth muscle cell by down-regulating the S1PR1/S1PR3 pathway. Biochimie. 94(12). 2523–2531. 13 indexed citations

12.

Mollard, Séverine, Karine Durand, Laurence Richard, et al.. (2011). Fingolimod potentiates the effects of sunitinib malate in a rat breast cancer model. Breast Cancer Research and Treatment. 134(1). 31–40. 25 indexed citations

13.

Mollard, Séverine, Laurence Richard, Jeanne Cook‐Moreau, et al.. (2011). How can grafted breast cancer models be optimized?. Cancer Biology & Therapy. 12(10). 855–864. 31 indexed citations

14.

Smietana, Michaël, Audrey Restouin, Séverine Mollard, et al.. (2007). Amine−Guanidine Switch: A Promising Approach to Improve DNA Binding and Antiproliferative Activities. Journal of Medicinal Chemistry. 50(26). 6465–6475. 55 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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