Donato Labella

12 papers receiving 871 citations

Peers

Donato Labella
Comparison fields: 5 of 56
  • Reproductive Medicine 602
  • Cardiology and Cardiovascular Medicine 173
  • Obstetrics and Gynecology 58
  • Public Health, Environmental and Occupational Health 194
  • Endocrinology, Diabetes and Metabolism 107
Replace Stephen D. Keay with:
Stephen D. Keay United Kingdom
Macarena Alpañés Spain
Kitirat Techatraisak Thailand
Olivier Valkenburg Netherlands
Erdem Türemen Türkiye
Miyase Bayraktar Türkiye
Dinka Pavičić Baldani Croatia
Sang Ho Yoon South Korea
Volkan Noyan Türkiye
Johanna Puurunen Finland
Donato Labella relative to Stephen D. Keay United Kingdom Stephen D. Keay's profile →
Citations per field
00.5×4.6×
Stephen D. Keay · 1×
Citations per year

Countries citing papers authored by Donato Labella

Since Specialization
Citations

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

Fields of papers citing papers by Donato Labella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004259
2 2005195
3 200698
4 200391
5 200380
6 200462
7 200448
8 200735
9 201819
10 200412
11 20249
12 20042

About Donato Labella

Donato Labella is a scholar working on Reproductive Medicine, Molecular Biology, Epidemiology, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 910 indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Folate and B Vitamins Research (1 paper), Insect Utilization and Effects (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Reproductive Medicine (602 citations), Cardiology and Cardiovascular Medicine (173 citations), Obstetrics and Gynecology (58 citations), Public Health, Environmental and Occupational Health (194 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Donato Labella has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Sebastiano Di Biase, Francesco Orio, Stefano Palomba, Annamaria Colao, Gaetano Lombardi, Fulvio Zullo, Teresa Cascella, Tiziana Russo, Silvia Savastano and Libuse Tauchmanovà. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Human Reproduction, Reproductive BioMedicine Online and Clinical Endocrinology.

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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