G Baviera

29 papers and 832 indexed citations i.

About

G Baviera is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, G Baviera has authored 29 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Obstetrics and Gynecology, 12 papers in Pediatrics, Perinatology and Child Health and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in G Baviera’s work include Pregnancy and preeclampsia studies (17 papers), Gestational Diabetes Research and Management (11 papers) and Birth, Development, and Health (5 papers). G Baviera is often cited by papers focused on Pregnancy and preeclampsia studies (17 papers), Gestational Diabetes Research and Management (11 papers) and Birth, Development, and Health (5 papers). G Baviera collaborates with scholars based in Italy. G Baviera's co-authors include Rosario D’Anna, Francesco Corrado, Antonio De Vivo, Domenico Giordano, A. Di Benedetto, F Corrado, Paola Giordano, Rosario D’Anna, Giacomo Nicocia and Francesco Squadrito and has published in prestigious journals such as Obstetrics and Gynecology, BJOG An International Journal of Obstetrics & Gynaecology and Diabetic Medicine.

In The Last Decade

Co-authorship network of co-authors of G Baviera i

Fields of papers citing papers by G Baviera

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by G Baviera. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G Baviera may publish in the future.

Countries citing papers authored by G Baviera

Since Specialization
Citations

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

Rankless by CCL
2025