Gina M. Conenello

1.5k citations
7 papers · 1.2k · h-index 7

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Autophagy in Disease and Therapy
    • Animal Disease Management and Epidemiology

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 4
    • Autophagy in Disease and Therapy 1
    • interferon and immune responses 3
    • Immune Response and Inflammation 2

Gina M. Conenello

7 papers receiving 1.2k citations

Peers

Gina M. Conenello
Comparison fields: 5 of 65
  • Epidemiology 971
  • Agronomy and Crop Science 197
  • Immunology 374
  • Infectious Diseases 240
  • Parasitology 58
Replace Matthias Liniger with:
Matthias Liniger Switzerland
Hirokazu Hikono Japan
Boli Hu China
Paul A. Calvo United States
Gregory Duke United States
Kevin L. McKnight United States
Yali Qin China
S. Herath United Kingdom
Birgitte Martine Viuff Denmark
Carles Martínez‐Romero United States
Gina M. Conenello relative to Matthias Liniger Switzerland Matthias Liniger's profile →
Citations per field
00.5×1.5×
Matthias Liniger · 1×
Citations per year

Countries citing papers authored by Gina M. Conenello

Since Specialization
Citations

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

Fields of papers citing papers by Gina M. Conenello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina M. Conenello. 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 Gina M. Conenello. The network helps show where Gina M. Conenello may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2009447
2 2007403
3 2010133
4 2013123
5 200760
6 200754
7 201013

About Gina M. Conenello

Gina M. Conenello is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Oncology, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers), interferon and immune responses (3 papers), Immune Response and Inflammation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Autophagy in Disease and Therapy (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Epidemiology (971 citations), Agronomy and Crop Science (197 citations), Immunology (374 citations), Infectious Diseases (240 citations) and Parasitology (58 citations). Gina M. Conenello has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Peter Palese, Dmitriy Zamarin, Terrence M. Tumpey, Lucy A. Perrone, T. Torossi, Frida Arrey, Patrick C. Rämer, Marc Pypaert, Jörn Dengjel and Randy A. Albrecht. Their work appears in journals such as Cell Host & Microbe, Nature Medicine, Journal of Virology, Virus Research and PLoS Pathogens.

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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