G Baviera

1.1k citations
29 papers · 870 indexed · h-index 16

Impact in

Papers in

G Baviera

29 papers receiving 836 citations

Peers

G Baviera
Comparison fields: 5 of 71
  • Obstetrics and Gynecology 589
  • Pediatrics, Perinatology and Child Health 388
  • Nephrology 80
  • Immunology 135
  • Pathology and Forensic Medicine 105
Replace Carlos Menendez‐Castro with:
Carlos Menendez‐Castro Germany
Jaak Billen Belgium
Amelia P. Bailey United States
Koen Verdonk Netherlands
Ahmed A. Hasan Germany
David Carty United Kingdom
Néstor Soto Chile
Raymond P. Naden United States
Kai‐Dietrich Nüsken Germany
Jyothsna Gattineni United States
G Baviera relative to Carlos Menendez‐Castro Germany Carlos Menendez‐Castro's profile →
Citations per field
00.5×3.9×
Carlos Menendez‐Castro · 1×
Citations per year

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).

Fields of papers citing papers by G Baviera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008171
2 2006124
3 200778
4 200562
5 200851
6 200946
7 200442
8 200542
9 200940
10 200430
11 200724
12
The clinical utility of serum uric acid measurements in pre-eclampsia and transient hypertension in pregnancy.
200024
13 200921
14 200218
15
Hormonal disregulation and catamenial epilepsy.
199017
16 200415
17 200413
18 20149
19 20158
20
C-reactive protein as an early predictor of gestational diabetes mellitus.
20067

About G Baviera

G Baviera is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Nephrology, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 29 papers that have together received 870 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (17 papers), Gestational Diabetes Research and Management (11 papers), Birth, Development, and Health (5 papers), Prenatal Screening and Diagnostics (4 papers), Acute Kidney Injury Research (3 papers), Phytoestrogen effects and research (3 papers), Folate and B Vitamins Research (3 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (589 citations), Pediatrics, Perinatology and Child Health (388 citations), Nephrology (80 citations), Immunology (135 citations) and Pathology and Forensic Medicine (105 citations). G Baviera has collaborated with scholars based in Italy and United States. Frequent 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. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, The Journal of Maternal-Fetal & Neonatal Medicine, BJOG An International Journal of Obstetrics & Gynaecology, Menopause The Journal of The North American Menopause Society and Diabetic Medicine.

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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