Irene Brian

452 citations
6 papers · 324 · h-index 5

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Hippo pathway signaling and YAP/TAZ 3
    • Viral gastroenteritis research and epidemiology 1
    • SARS-CoV-2 and COVID-19 Research 1
    • COVID-19 Clinical Research Studies 1

Irene Brian

5 papers receiving 320 citations

Peers

Irene Brian
Comparison fields: 5 of 67
  • Cell Biology 160
  • Cancer Research 40
  • Biochemistry 19
  • Molecular Biology 126
  • Physiology 38
Replace Nazli Khodayari with:
Nazli Khodayari United States
Philippos Peidis Canada
Jeong‐Ho Hong South Korea
Toshihide Ueno Japan
Xianfa Tang China
Matthew R. Thompson Australia
Amruta Bhate United States
Ayça Erbilgin United States
Zhehui Zhu China
Léa Zaffalon Switzerland
Irene Brian relative to Nazli Khodayari United States Nazli Khodayari's profile →
Citations per field
00.5×3.2×
Nazli Khodayari · 1×
Citations per year

Countries citing papers authored by Irene Brian

Since Specialization
Citations

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

Fields of papers citing papers by Irene Brian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Irene Brian, 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 Irene Brian Line = papers co-authored together Irene Brian links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2019164
2 201875
3 201962
4 202212
5 202311
6 20250

About Irene Brian

Irene Brian is a scholar working on Cell Biology, Infectious Diseases, Epidemiology, Neurology and Virology, having authored 6 papers that have together received 324 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Animal Virus Infections Studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Influenza Virus Research Studies (1 paper), Virology and Viral Diseases (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cell Biology (160 citations), Cancer Research (40 citations), Biochemistry (19 citations), Molecular Biology (126 citations) and Physiology (38 citations). Irene Brian has collaborated with scholars based in Italy, Belgium and Vietnam. Frequent co-authors include Patrizia Romani, Sirio Dupont, Silvio Bicciato, Giulia Santinon, Arianna Pocaterra, Mattia Forcato, Matteo Audano, Silvia Pedretti, Samuel Mathieu and Jean‐Baptiste Manneville. Their work appears in journals such as Viruses, Journal of Clinical Microbiology, Journal of Hepatology, Nature Cell Biology and The EMBO Journal.

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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