Anne Marcil

3.7k total citations · 1 hit paper
32 papers, 2.8k citations indexed

About

Anne Marcil is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anne Marcil has authored 32 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Epidemiology and 11 papers in Infectious Diseases. Recurrent topics in Anne Marcil's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Antifungal resistance and susceptibility (8 papers) and Fungal Infections and Studies (7 papers). Anne Marcil is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Antifungal resistance and susceptibility (8 papers) and Fungal Infections and Studies (7 papers). Anne Marcil collaborates with scholars based in Canada, United States and Italy. Anne Marcil's co-authors include Christopher D. Richardson, Arvind Chopra, Malcolm Whiteway, David Y. Thomas, Doreen Harcus, Daniel Dignard, André Nantel, Ekkehard Leberer, Tracey Rigby and Klaus Schröppel and has published in prestigious journals such as Cell, The Journal of Immunology and PLoS ONE.

In The Last Decade

Anne Marcil

32 papers receiving 2.7k citations

Hit Papers

The human CD46 molecule is a receptor for measles virus (... 1993 2026 2004 2015 1993 250 500 750

Peers

Anne Marcil
Comparison fields: 5 of 95
  • Epidemiology 1.4k
  • Infectious Diseases 1.2k
  • Molecular Biology 1.0k
  • Immunology 538
  • Genetics 409
Replace Jeffry J. Leary with:
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Mumtaz Virji United Kingdom
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Susann Teneberg Sweden
William H. Wunner United States
Benedikt B. Kaufer Germany
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Jeffry J. Leary United States View profile →
Citations per field, relative to Anne Marcil
Anne Marcil · 1×
Citations per year, relative to Anne Marcil
Anne Marcil · 1×

Countries citing papers authored by Anne Marcil

Since Specialization
Citations

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

Fields of papers citing papers by Anne Marcil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Marcil

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 22
4 8
5 5
6 63
7 16
8 36
9 8
10 27
11 6
12 74
13 105
14 128
15 306
16 72
17 299
18 96
19 40
20
The human CD46 molecule is a receptor for measles virus (Edmonston strain) breakdown →
872

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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