T. Lunardi

1.9k citations
14 papers · 1.5k indexed · 2 hit papers · h-index 12
Topics
Complement system in diseases (6 papers)Telomeres, Telomerase, and Senescence (4 papers)Viral Infections and Immunology Research (2 papers)

In The Last Decade

T. Lunardi

14 papers receiving 1.5k citations

Hit Papers

Structural Basis for the Activation of Innate Immune Patt...201120262016202120112014100200300400500

Peers

T. Lunardi
Comparison fields: 5 of 82
  • Molecular Biology 819
  • Immunology 775
  • Epidemiology 407
  • Infectious Diseases 210
  • Physiology 116
Replace Philippe Mangeot with:
Philippe Mangeot France
Bijan Sobhian United States
Emmanuel Ségéral France
Betty Poon United States
Leremy A. Colf United States
Nitin Raj United States
Jaime Carrillo Spain
Kyosuke Nagata Japan
Ellen M. Westerhout Netherlands
Jin‐Hyun Ahn South Korea
T. Lunardi relative to Philippe Mangeot France Philippe Mangeot's profile →
Citations per field
00.5×4.1×
Philippe Mangeot · 1×
Citations per year

Countries citing papers authored by T. Lunardi

Since Specialization
Citations

This map shows the geographic impact of T. Lunardi'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 T. Lunardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lunardi more than expected).

Fields of papers citing papers by T. Lunardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Lunardi

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 25
3 159
4 16
5 18
6
Structural insight into cap-snatching and RNA synthesis by influenza polymerasebreakdown →
354
7 65
8
Structural Basis for the Activation of Innate Immune Pattern-Recognition Receptor RIG-I by Viral RNAbreakdown →
541
9 39
10 67
11 37
12 101
13 1
14 39

About T. Lunardi

T. Lunardi is a scholar working on Aging, Immunology and Hematology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Telomeres, Telomerase, and Senescence (4 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Immunology (775 citations), Aging (26 citations) and Molecular Biology (819 citations). T. Lunardi has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include S. Cusack, Denis Gerlier, Jade Louber, Andrew A. McCarthy, Joanna Brunel, Eva Kowalinski, Boyan Grigorov, Delphine Guilligay, Gérard J. Arlaud and Rob W. H. Ruigrok. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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