Joann Cutilli

636 citations
12 papers · 576 · h-index 10

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Joann Cutilli

12 papers receiving 554 citations

Peers

Joann Cutilli
Comparison fields: 5 of 64
  • Virology 384
  • Immunology 242
  • Infectious Diseases 198
  • Emergency Medicine 43
  • Biological Psychiatry 9
Replace Claire Veryard with:
Claire Veryard United Kingdom
L M Baca United States
Anne Couëdel-Courteille France
Ross A. Ramos United States
Dianna L. Koontz United States
Paul J. Bock United States
Luann Borowski United States
Louise A. Evans Australia
Michelle L. Pleet United States
Marilyn J. Moore United Kingdom
Joann Cutilli relative to Claire Veryard United Kingdom Claire Veryard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Joann Cutilli

Since Specialization
Citations

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

Fields of papers citing papers by Joann Cutilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1989196
2 199089
3 199264
4 199042
5 200036
6 200335
7 199331
8 199327
9 199826
10 199520
11 19938
12 20032

About Joann Cutilli

Joann Cutilli is a scholar working on Virology, Infectious Diseases, Emergency Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 576 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS Research and Interventions (5 papers), HIV-related health complications and treatments (3 papers), Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Pregnancy and Medication Impact (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Virology (384 citations), Immunology (242 citations), Infectious Diseases (198 citations), Emergency Medicine (43 citations) and Biological Psychiatry (9 citations). Joann Cutilli has collaborated with scholars based in United States. Frequent co-authors include Steven D. Douglas, Nassef F. Hassan, Ronald G. Collman, Harvey M. Friedman, Neal Nathanson, Robert D. Walker, J C Hastings, Wen‐Zhe Ho, Richard Alan Polin and Janet Lioy. Their work appears in journals such as Journal of NeuroVirology, Journal of Virology, Journal of Immunological Methods, Journal of Leukocyte Biology and Journal of Clinical Investigation.

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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