Donato Labella

1.1k citations
12 papers · 905 indexed · h-index 10

Impact in

Papers in

Donato Labella

12 papers receiving 866 citations

Peers

Donato Labella
Comparison fields: 5 of 60
  • Reproductive Medicine 718
  • Cardiology and Cardiovascular Medicine 327
  • Obstetrics and Gynecology 111
  • Endocrinology, Diabetes and Metabolism 175
  • Public Health, Environmental and Occupational Health 282
Replace Anne Bush with:
Anne Bush United Kingdom
Efstathios Papadakis Greece
Macarena Alpañés Spain
Thomas Paterakis Greece
Remzi Abalı Türkiye
Kitirat Techatraisak Thailand
Johanna Puurunen Finland
Erdem Türemen Türkiye
İbrahim Esinler Türkiye
Stephen D. Keay United Kingdom
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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-authorship network

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 20249
2 201819
3 200735
4 200698
5 2005191
6 200412
7 20042
8 200462
9 200448
10 2004259
11 200391
12 200379

About Donato Labella

Donato Labella is a scholar working on Reproductive Medicine, Aging, Geriatrics and Gerontology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 905 indexed citations. Recurring topics across this work include Ovarian function and disorders (9 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Reproductive Biology and Fertility (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Folate and B Vitamins Research (2 papers), Animal and Plant Science Education (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper) and Intestinal Malrotation and Obstruction Disorders (1 paper). The work is most often cited by research in Reproductive Medicine (718 citations), Cardiology and Cardiovascular Medicine (327 citations), Obstetrics and Gynecology (111 citations), Endocrinology, Diabetes and Metabolism (175 citations) and Public Health, Environmental and Occupational Health (282 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, Human Reproduction, European Journal of Endocrinology, Reproductive BioMedicine Online and Plants.

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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