Charlotte Viant

7.2k citations
11 papers · 1.4k indexed · 2 hit papers · h-index 8
Topics
Immune Cell Function and Interaction (9 papers)T-cell and B-cell Immunology (8 papers)IL-33, ST2, and ILC Pathways (5 papers)

In The Last Decade

Charlotte Viant

10 papers receiving 1.3k citations

Hit Papers

The metabolic checkpoint kinase mTOR is essential for IL-...201420262018202220142020100200300400

Peers

Charlotte Viant
Comparison fields: 5 of 85
  • Immunology 989
  • Infectious Diseases 318
  • Molecular Biology 226
  • Oncology 180
  • Epidemiology 136
Replace Leo Swadling with:
Leo Swadling United Kingdom
Emily S.J. Edwards Australia
Abhishek Das United Kingdom
Heather D. Marshall United States
J. Michael Stolley United States
Jianmin Zuo United Kingdom
Anneline Nansen Denmark
Sarah C. Vick United States
Regina Stark Netherlands
Johannes Möst Austria
Charlotte Viant relative to Leo Swadling United Kingdom Leo Swadling's profile →
Citations per field
00.5×3.6×
Leo Swadling · 1×
Citations per year

Countries citing papers authored by Charlotte Viant

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Viant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Viant

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 41
3 66
4 7
5 130
6
Enhanced SARS-CoV-2 neutralization by dimeric IgAbreakdown →
294
7 4
8 177
9 80
10 96
11
The metabolic checkpoint kinase mTOR is essential for IL-15 signaling during the development and activation of NK cellsbreakdown →
462

About Charlotte Viant

Charlotte Viant is a scholar working on Immunology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Immunology (989 citations), Infectious Diseases (318 citations) and Oncology (180 citations). Charlotte Viant has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Éric Vivier, Michel C. Nussenzweig, Aurore Fenis, Anna Gazumyan, Thierry Walzer, Melissa Cipolla, Thiago Y. Oliveira, Sophie Degouve, Yann‐Gaël Gangloff and Jacques Bienvenu. Their work appears in journals such as Science, Cell and Nature Communications.

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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