Gaia Luoni

1.1k citations
16 papers · 751 · h-index 13

Impact in

Papers in

Gaia Luoni

16 papers receiving 725 citations

Peers

Gaia Luoni
Comparison fields: 5 of 64
  • Public Health, Environmental and Occupational Health 463
  • Genetics 127
  • Parasitology 70
  • Immunology 188
  • Virology 40
Replace David T. McNamara with:
David T. McNamara United States
Jedidah Mwacharo United Kingdom
Caroline Othoro United States
Laurie R. Gray United States
E M Riley United Kingdom
Adrian V. S. Hill United Kingdom
D E Hudson United States
Ahmad Rushdi Shakri India
Younoussou Koné United States
J.L. Neyrinck France
Gaia Luoni relative to David T. McNamara United States David T. McNamara's profile →
Citations per field
00.5×2.7×
David T. McNamara · 1×
Citations per year

Countries citing papers authored by Gaia Luoni

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Luoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001251
2 200181
3 200180
4 199854
5 200549
6 199948
7 200136
8 200428
9 200924
10 200821
11
Different response to Plasmodium falciparum in west African sympatric ethnic groups: possible implications for malaria control strategies.
199921
12 199819
13 200916
14 20059
15 20149
16 20055

About Gaia Luoni

Gaia Luoni is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Molecular Biology, Genetics and Virology, having authored 16 papers that have together received 751 indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Mosquito-borne diseases and control (4 papers), Complement system in diseases (4 papers), Hemoglobinopathies and Related Disorders (3 papers), T-cell and B-cell Immunology (2 papers), HIV Research and Treatment (2 papers), Vector-borne infectious diseases (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (463 citations), Genetics (127 citations), Parasitology (70 citations), Immunology (188 citations) and Virology (40 citations). Gaia Luoni has collaborated with scholars based in Italy, United Kingdom and Burkina Faso. Frequent co-authors include David Modiano, M. Cóluzzi, Federica Verra, Jacques Simporè, Vincenzo Petrarca, G. Modiano, Sodiomon B. Sirima, Dominic Kwiatkowski, Amadou T. Konaté and Carlo Calissano. Their work appears in journals such as Genes and Immunity, American Journal of Tropical Medicine and Hygiene, Transactions of the Royal Society of Tropical Medicine and Hygiene, Human Immunology and Acta Tropica.

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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