Marceline Côté

3.0k citations
51 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
SARS-CoV-2 and COVID-19 Research (13 papers)Viral Infections and Outbreaks Research (12 papers)Viral Infections and Vectors (10 papers)
Journals
NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología

In The Last Decade

Marceline Côté

50 papers receiving 1.3k citations

Hit Papers

Small molecule inhibitors reveal Niemann–Pick C1 is essen...20112026201620212011100200300400500

Peers

Marceline Côté
Comparison fields: 5 of 90
  • Infectious Diseases 723
  • Molecular Biology 345
  • Epidemiology 338
  • Immunology 198
  • Public Health, Environmental and Occupational Health 122
Replace Viet Loan Dao Thi with:
Viet Loan Dao Thi Germany
Maria A. Croyle United States
Elena A. Kashentseva United States
Yongshui Fu China
Cyril Empig United States
Zhipeng Yan China
Sean N. Tucker United States
Catherine Ewen Canada
George J. Cianciolo United States
Elita Avota Germany
Marceline Côté relative to Viet Loan Dao Thi Germany Viet Loan Dao Thi's profile →
Citations per field
00.5×1.7×
Viet Loan Dao Thi · 1×
Citations per year

Countries citing papers authored by Marceline Côté

Since Specialization
Citations

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

Fields of papers citing papers by Marceline Côté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marceline Côté

This figure shows the co-authorship network connecting the top 25 collaborators of Marceline Côté. A scholar is included among the top collaborators of Marceline Côté 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 Marceline Côté. Marceline Côté 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
#WorkIndexed citations
1 8
2 7
3 2
4 1
5 7
6 7
7 6
8 4
9 9
10 5
11 47
12 35
13 15
14 6
15 21
16 11
17 123
18 9
19
Small molecule inhibitors reveal Niemann–Pick C1 is essential for Ebola virus infectionbreakdown →
527
20 6

About Marceline Côté

Marceline Côté is a scholar working on Infectious Diseases, Microbiology and Small Animals, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), Viral Infections and Outbreaks Research (12 papers) and Viral Infections and Vectors (10 papers). The work is most often cited by research in Infectious Diseases (723 citations), Microbiology (11 citations) and Virology (52 citations). Marceline Côté has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include John Misasi, James M. Cunningham, Lisa E. Hensley, Claire Marie Filone, Kartik Chandran, Kyung‐Ae Lee, Anna Bruchez, Tao Ren, Qi Li and Daniel Ory. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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