L.E.T. Albuquerque

467 citations
8 papers · 245 · h-index 5

Impact in

Papers in

L.E.T. Albuquerque

8 papers receiving 240 citations

Peers

L.E.T. Albuquerque
Comparison fields: 5 of 37
  • Reproductive Medicine 212
  • Public Health, Environmental and Occupational Health 164
  • Pediatrics, Perinatology and Child Health 97
  • Obstetrics and Gynecology 29
  • Endocrinology, Diabetes and Metabolism 26
Replace Fulvio Cappiello with:
Fulvio Cappiello Italy
Edward H. Illions United States
Ewa Pastuszek Poland
Marwan Alhalabi Syria
Irene La Vecchia Italy
Tayfun Kutlu Türkiye
Adriana C. H. Neven Australia
Oybek Rustamov United Kingdom
Valéria Maria Sousa Leitão Brazil
Jun‐Woo Ahn South Korea
L.E.T. Albuquerque relative to Fulvio Cappiello Italy Fulvio Cappiello's profile →
Citations per field
00.5×2.6×
Fulvio Cappiello · 1×
Citations per year

Countries citing papers authored by L.E.T. Albuquerque

Since Specialization
Citations

This map shows the geographic impact of L.E.T. Albuquerque'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 L.E.T. Albuquerque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.E.T. Albuquerque more than expected).

Fields of papers citing papers by L.E.T. Albuquerque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.E.T. Albuquerque. 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 L.E.T. Albuquerque. The network helps show where L.E.T. Albuquerque may publish in the future.

Co-authors

The 6 scholars most cited alongside L.E.T. Albuquerque, 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 L.E.T. Albuquerque Line = papers co-authored together L.E.T. Albuquerque links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014124
2 201349
3 202047
4 201514
5 20036
6 20133
7 20101
8 20031

About L.E.T. Albuquerque

L.E.T. Albuquerque is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Health and General Health Professions, having authored 8 papers that have together received 245 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (6 papers), Ovarian function and disorders (6 papers), Reproductive Biology and Fertility (5 papers), Gynecological conditions and treatments (1 paper), Endometriosis Research and Treatment (1 paper), Diverse Scientific Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Reproductive Medicine (212 citations), Public Health, Environmental and Occupational Health (164 citations), Pediatrics, Perinatology and Child Health (97 citations), Obstetrics and Gynecology (29 citations) and Endocrinology, Diabetes and Metabolism (26 citations). L.E.T. Albuquerque has collaborated with scholars based in Brazil, Australia and New Zealand. Frequent co-authors include Cristiane R Macedo, L.O. Tso, Régis B Andriolo, Michael Costello, Humberto Saconato and Jane Marjoribanks. Their work appears in journals such as Cochrane Database of Systematic Reviews, Fertility and Sterility, Human Reproduction, JBRA and Revista Brasileira Ginecologia e Obstetrícia.

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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