Emanuela Medda

96 papers receiving 1.7k citations

Peers

Emanuela Medda
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 435
  • Hepatology 101
  • Reproductive Medicine 99
  • Applied Psychology 53
  • Pediatrics, Perinatology and Child Health 191
Replace Emma L. Anderson with:
Emma L. Anderson United Kingdom
Andrew Wong United Kingdom
Barbara Moore United States
Raymond R. Balise United States
Thomas Waldhör Austria
Zdenek Hrubec United States
Grethe Albrektsen Norway
Li Zhao China
Paul D. Saville United States
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Citations per field
00.5×7.6×
Emma L. Anderson · 1×
Citations per year

Countries citing papers authored by Emanuela Medda

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Medda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002145
2 200997
3 201586
4 200680
5 201366
6 200755
7 200048
8 200844
9 200343
10 201241
11 201440
12 200939
13 201039
14 200037
15
Risk factors for Sjögren's syndrome: a case-control study.
200736
16 200635
17 201432
18 202132
19 201229
20 201729

About Emanuela Medda

Emanuela Medda is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Psychology, Genetics, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 103 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (17 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Diabetes and associated disorders (5 papers), Cognitive Abilities and Testing (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Genetic Associations and Epidemiology (4 papers), Birth, Development, and Health (4 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (435 citations), Hepatology (101 citations), Reproductive Medicine (99 citations), Applied Psychology (53 citations) and Pediatrics, Perinatology and Child Health (191 citations). Emanuela Medda has collaborated with scholars based in Italy, Hungary and United States. Frequent co-authors include Antonella Olivieri, Cristina Fazzini, Corrado Fagnani, Maria Antonietta Stazi, Simona De Angelis, M. E. Grandolfo, M Sorcini, Serena Donati, Maria A. Stazi and Lorenza Nisticò. Their work appears in journals such as Twin Research and Human Genetics, The Journal of Clinical Endocrinology & Metabolism, Environmental Research, International Journal of Cardiology and PLoS ONE.

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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