Marie-Anne Germain

806 citations
9 papers · 609 indexed · h-index 8
Topics
Hepatitis C virus research (3 papers)Hepatitis B Virus Studies (2 papers)Viral gastroenteritis research and epidemiology (1 paper)

In The Last Decade

Marie-Anne Germain

9 papers receiving 599 citations

Peers

Marie-Anne Germain
Comparison fields: 5 of 72
  • Molecular Biology 276
  • Physiology 112
  • Cancer Research 89
  • Infectious Diseases 83
  • Immunology 82
Replace Simon Yu with:
Simon Yu United States
Nathalie Bédard Canada
Takis Athanasopoulos United Kingdom
Sukhwinder Singh United States
Klaudia Kuranda France
Karen J. Bame United States
Jian-Yun Dong United States
N. M. Maraldi Italy
Allan Dillner United States
Andrea Longatti United Kingdom
Marie-Anne Germain relative to Simon Yu United States Simon Yu's profile →
Citations per field
00.5×1.6×
Simon Yu · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 3
2 137
3 207
4 54
5 58
6 46
7 24
8 59
9
Systemic necrotizing vasculitis and glomerulonephritis in grower pigs in southwestern Quebec.
21

About Marie-Anne Germain

Marie-Anne Germain is a scholar working on Biological Psychiatry, Hepatology and Virology, having authored 9 papers that have together received 609 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Aging (29 citations), Animal Science and Zoology (78 citations) and Ophthalmology (60 citations). Marie-Anne Germain has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Frédérick A. Mallette, Laurent Chatel‐Chaix, Daniel Lamarre, Agnieszka Dejda, Randal J. Kaufman, Malika Oubaha, Przemysław Sapieha, Natalija Popović, Gaëlle Mawambo and Flávio Rezende. Their work appears in journals such as Nature Communications, Journal of Virology and Science Translational Medicine.

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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