Suzanne Paz

1.7k citations
17 papers · 1.3k · h-index 13

Impact in

  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • interferon and immune responses 13
    • Immune Response and Inflammation 6
    • NF-κB Signaling Pathways 7

Suzanne Paz

17 papers receiving 1.3k citations

Peers

Suzanne Paz
Comparison fields: 5 of 70
  • Immunology 1.0k
  • Cancer Research 248
  • Infectious Diseases 226
  • Virology 45
  • Hepatology 71
Replace Peyman Nakhaei with:
Peyman Nakhaei Canada
Evelyn Dixit United States
Kazuhide Onoguchi Japan
Ashutosh Kumar United States
Jasmine T. Perez United States
Congwen Wei China
Wakako Suhara Japan
Elizabeth Rosenzweig United States
Walter J. Wurzer Germany
Aimin Zhou United States
Suzanne Paz relative to Peyman Nakhaei Canada Peyman Nakhaei's profile →
Citations per field
00.5×1.5×
Peyman Nakhaei · 1×
Citations per year

Countries citing papers authored by Suzanne Paz

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suzanne Paz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzanne Paz Line = papers co-authored together Suzanne Paz links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006213
2 2011205
3 2006192
4 2006159
5 2011136
6 2012101
7 200982
8
Induction of IRF-3 and IRF-7 phosphorylation following activation of the RIG-I pathway.
200681
9 200974
10 201128
11 201022
12 201415
13 200615
14 20104
15 20102
16 20111
17 20091

About Suzanne Paz

Suzanne Paz is a scholar working on Immunology, Cancer Research, Animal Science and Zoology, Molecular Biology and Biological Psychiatry, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), NF-κB Signaling Pathways (7 papers), Immune Response and Inflammation (6 papers), Animal Virus Infections Studies (2 papers), Inflammasome and immune disorders (2 papers), Tryptophan and brain disorders (1 paper), RNA regulation and disease (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (248 citations), Infectious Diseases (226 citations), Virology (45 citations) and Hepatology (71 citations). Suzanne Paz has collaborated with scholars based in Canada, United States and France. Frequent co-authors include John Hiscott, Peyman Nakhaei, Rongtuan Lin, S. Mehdi Belgnaoui, Qiang Sun, ELIANE F. MEURS, Meztli Arguello, Myriam Vilasco, Damien Vitour and Judith Lacoste. Their work appears in journals such as Cytokine, Cell Research, Journal of Virology, The Journal of Immunology and Immunity.

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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