Rita Gaio

70 papers receiving 931 citations

Peers

Rita Gaio
Comparison fields: 5 of 142
  • Toxicology 43
  • Geometry and Topology 107
  • Obstetrics and Gynecology 87
  • Mathematical Physics 81
  • Health, Toxicology and Mutagenesis 86
Replace Christian Wegner with:
Christian Wegner Germany
Edward J. Otten United States
Juan Fu China
Tamar Lasky United States
Alastair Hay United Kingdom
Yuting Kang China
Julia Klein Canada
Wolfgang Bernhard Germany
Céline M. Laffont France
Sonia Radice Italy
Rita Gaio relative to Christian Wegner Germany Christian Wegner's profile →
Citations per field
00.5×10.8×
Christian Wegner · 1×
Citations per year

Countries citing papers authored by Rita Gaio

Since Specialization
Citations

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

Fields of papers citing papers by Rita Gaio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200897
2 200668
3 200150
4 201243
5 200043
6 201434
7 201434
8 200533
9 201126
10 200826
11 201725
12 201123
13 201423
14 201722
15 201719
16 201518
17 201418
18 202116
19 201016
20 201416

About Rita Gaio

Rita Gaio is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 76 papers that have together received 963 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Pregnancy and preeclampsia studies (12 papers), Diagnosis and treatment of tuberculosis (8 papers), Infectious Diseases and Tuberculosis (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), HIV/AIDS Impact and Responses (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Maternal and fetal healthcare (5 papers). The work is most often cited by research in Toxicology (43 citations), Geometry and Topology (107 citations), Obstetrics and Gynecology (87 citations), Mathematical Physics (81 citations) and Health, Toxicology and Mutagenesis (86 citations). Rita Gaio has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include Dietmar Salamon, Félix Carvalho, Kai Cieliebak, Bruno Nunes, Lúcia Guilhermino, Carla Lopes, Raquel Duarte, Luís Guedes‐Martins, Filipe Macedo and Henrique Almeida. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Scientific Reports, BMC Pregnancy and Childbirth, Journal of Sensory Studies and Annals of the Rheumatic Diseases.

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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