Marie-Anne Germain

806 total citations
9 papers, 609 citations indexed

About

Marie-Anne Germain is a scholar working on Molecular Biology, Hepatology and Infectious Diseases. According to data from OpenAlex, Marie-Anne Germain has authored 9 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hepatology and 2 papers in Infectious Diseases. Recurrent topics in Marie-Anne Germain's work include Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Marie-Anne Germain is often cited by papers focused on Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Marie-Anne Germain collaborates with scholars based in Canada, United States and France. Marie-Anne Germain's co-authors include Frédérick A. Mallette, Laurent Chatel‐Chaix, Daniel Lamarre, Randal J. Kaufman, Malika Oubaha, Przemysław Sapieha, Natalija Popović, Flávio Rezende, Gaëlle Mawambo and Khalil Miloudi and has published in prestigious journals such as Nature Communications, Journal of Virology and Science Translational Medicine.

In The Last Decade

Marie-Anne Germain

9 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie-Anne Germain Canada	8	276	112	89	83	82	9	609
Giulia De Rossi United Kingdom	17	365 1.3×	29 0.3×	77 0.9×	48 0.6×	80 1.0×	32	736
Robin ABU-GHAZALEH United Kingdom	9	708 2.6×	54 0.5×	125 1.4×	71 0.9×	97 1.2×	10	1.2k
Zhengcai Jia China	20	377 1.4×	46 0.4×	49 0.6×	121 1.5×	353 4.3×	50	971
Klaus Schwamborn France	14	751 2.7×	31 0.3×	132 1.5×	60 0.7×	190 2.3×	20	1.0k
Simon Yu United States	11	474 1.7×	72 0.6×	93 1.0×	104 1.3×	587 7.2×	12	1.1k
Miao Tang United States	18	411 1.5×	105 0.9×	91 1.0×	32 0.4×	230 2.8×	43	989
Karen J. Bame United States	18	737 2.7×	137 1.2×	65 0.7×	31 0.4×	49 0.6×	23	1.1k
N. M. Maraldi Italy	18	669 2.4×	104 0.9×	44 0.5×	24 0.3×	61 0.7×	49	999
Thomas Bader France	14	325 1.2×	78 0.7×	57 0.6×	55 0.7×	160 2.0×	16	651
Allan Dillner United States	11	397 1.4×	92 0.8×	148 1.7×	12 0.1×	241 2.9×	14	865

Countries citing papers authored by Marie-Anne Germain

Since Specialization

Citations

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

Fields of papers citing papers by Marie-Anne Germain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Anne Germain. 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 Marie-Anne Germain. The network helps show where Marie-Anne Germain may publish in the future.

Co-authorship network of co-authors of Marie-Anne Germain

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Anne Germain. A scholar is included among the top collaborators of Marie-Anne Germain 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 Marie-Anne Germain. Marie-Anne Germain 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

Auger, Anick, Rei Ono, Amandine Chefson, et al.. (2025). Post-symptomatic NLRP3 inhibition rescues cognitive impairment and mitigates amyloid and tau driven neurodegeneration. PubMed. 1(1). 3–3. 3 indexed citations

Lalonde, Marie‐Eve, Marie-Anne Germain, Marie‐Christine Guiot, et al.. (2016). The oncometabolite 2-hydroxyglutarate activates the mTOR signalling pathway. Nature Communications. 7(1). 12700–12700. 137 indexed citations

Oubaha, Malika, Khalil Miloudi, Agnieszka Dejda, et al.. (2016). Senescence-associated secretory phenotype contributes to pathological angiogenesis in retinopathy. Science Translational Medicine. 8(362). 362ra144–362ra144. 207 indexed citations

Blais, Mathieu, et al.. (2014). Sensory Neurons Accelerate Skin Reepithelialization via Substance P in an Innervated Tissue-Engineered Wound Healing Model. Tissue Engineering Part A. 20(15-16). 2180–2188. 54 indexed citations

Germain, Marie-Anne, Laurent Chatel‐Chaix, Éric Bonneil, et al.. (2013). Elucidating Novel Hepatitis C Virus–Host Interactions Using Combined Mass Spectrometry and Functional Genomics Approaches. Molecular & Cellular Proteomics. 13(1). 184–203. 58 indexed citations

Chatel‐Chaix, Laurent, Marie-Anne Germain, Éric Bonneil, et al.. (2013). A Host YB-1 Ribonucleoprotein Complex Is Hijacked by Hepatitis C Virus for the Control of NS3-Dependent Particle Production. Journal of Virology. 87(21). 11704–11720. 46 indexed citations

Chatel‐Chaix, Laurent, Marie-Anne Germain, Matthias Götte, & Daniel Lamarre. (2012). Direct-acting and host-targeting HCV inhibitors: current and future directions. Current Opinion in Virology. 2(5). 588–598. 24 indexed citations

Drolet, Richard, et al.. (1998). Cutaneous and Systemic Necrotizing Vasculitis in Swine. Veterinary Pathology. 35(2). 108–116. 59 indexed citations

Hélie, Pierre, et al.. (1995). Systemic necrotizing vasculitis and glomerulonephritis in grower pigs in southwestern Quebec.. PubMed. 36(3). 150–4. 21 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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