Debbie Nahas

670 citations
15 papers · 512 indexed · h-index 9

Impact in

  • Microbiology top 10%
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Biochemical and Molecular Research

Papers in

Debbie Nahas

15 papers receiving 501 citations

Peers

Debbie Nahas
Comparison fields: 5 of 73
  • Microbiology 36
  • Molecular Biology 323
  • Infectious Diseases 63
  • Virology 16
  • Immunology 68
Replace Yoan Machado with:
Yoan Machado Canada
Matthias D. Kaeser Switzerland
Mourad Bendjennat United States
Mridul Kalita United States
Marcela Torres United States
Shinya Hidano Japan
Anne G. Savitt United States
Sena J. Lee United States
Lionel Cupillard France
Antony Y. Matthews Australia
Debbie Nahas relative to Yoan Machado Canada Yoan Machado's profile →
Citations per field
00.5×2.6×
Yoan Machado · 1×
Citations per year

Countries citing papers authored by Debbie Nahas

Since Specialization
Citations

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

Fields of papers citing papers by Debbie Nahas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20245
2 20233
3 202320
4 20232
5 20227
6 201942
7 20186
8 201622
9 201615
10 201611
11 20161
12 201616
13 201421
14 201215
15 2005326

About Debbie Nahas

Debbie Nahas is a scholar working on Microbiology, Parasitology, Immunology, Infectious Diseases and Virology, having authored 15 papers that have together received 512 indexed citations. Recurring topics across this work include Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Reproductive tract infections research (2 papers), Urinary Tract Infections Management (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Microbiology (36 citations), Molecular Biology (323 citations), Infectious Diseases (63 citations), Virology (16 citations) and Immunology (68 citations). Debbie Nahas has collaborated with scholars based in United States. Frequent co-authors include Jason A. Kahana, Elizabeth McAvoy, Karen Leander, Sheng Fu, R. Robinson, Hans E. Huber, Astrid M. Kral, Deborah Defeo-Jones, Stanley F. Barnett and Kathleen Haskell. Their work appears in journals such as Vaccine, Frontiers in Cellular and Infection Microbiology, BMC Microbiology, Human Vaccines & Immunotherapeutics and Molecular Pharmaceutics.

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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