Emanuela Medda

3.5k total citations
103 papers, 1.8k citations indexed

About

Emanuela Medda is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Emanuela Medda has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Genetics and 16 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Emanuela Medda's work include Thyroid Disorders and Treatments (17 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Cognitive Abilities and Testing (7 papers). Emanuela Medda is often cited by papers focused on Thyroid Disorders and Treatments (17 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Cognitive Abilities and Testing (7 papers). Emanuela Medda collaborates with scholars based in Italy, Hungary and United States. Emanuela Medda's co-authors include Antonella Olivieri, Cristina Fazzini, Maria Antonietta Stazi, Corrado Fagnani, Simona De Angelis, M Sorcini, M. E. Grandolfo, Maria A. Stazi, Serena Donati and Lorenza Nisticò and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Clinical Infectious Diseases.

In The Last Decade

Emanuela Medda

97 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emanuela Medda Italy 24 437 361 251 235 225 103 1.8k
A. McElduff Australia 21 394 0.9× 239 0.7× 242 1.0× 237 1.0× 258 1.1× 45 1.8k
Thomas Waldhör Austria 29 279 0.6× 371 1.0× 486 1.9× 366 1.6× 299 1.3× 111 2.6k
Maria Elisabeth Street Italy 30 592 1.4× 490 1.4× 475 1.9× 203 0.9× 250 1.1× 123 2.4k
Alexandra Krettek Sweden 24 154 0.4× 250 0.7× 273 1.1× 164 0.7× 163 0.7× 74 1.8k
Emmanuel Écosse France 21 453 1.0× 284 0.8× 401 1.6× 117 0.5× 253 1.1× 45 2.1k
Micha Barchana Israel 30 147 0.3× 236 0.7× 382 1.5× 262 1.1× 337 1.5× 108 2.4k
Grethe Albrektsen Norway 31 236 0.5× 206 0.6× 150 0.6× 197 0.8× 234 1.0× 69 2.8k
Rachael Williams United Kingdom 24 174 0.4× 278 0.8× 205 0.8× 277 1.2× 318 1.4× 80 2.1k
J.M. Wit Netherlands 15 281 0.6× 580 1.6× 302 1.2× 140 0.6× 168 0.7× 27 2.0k
Costantino Di Carlo Italy 36 619 1.4× 629 1.7× 364 1.5× 111 0.5× 395 1.8× 197 4.4k

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-authorship network of co-authors of Emanuela Medda

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Medda. A scholar is included among the top collaborators of Emanuela Medda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emanuela Medda. Emanuela Medda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Raffaeli, William, et al.. (2025). Sleep Quality, Pain, Worry, and Rumination in Fibromyalgia: Results from Mediation Analyses. Journal of Clinical Medicine. 14(20). 7267–7267.
2.
3.
Garzitto, Marco, Carolina Bonivento, Giuseppe Delvecchio, et al.. (2024). Exploring the effects of family and life events on genetic and environmental architecture of schizotypal and hypomanic dimensions: Insights from a twin study. Journal of Affective Disorders. 362. 375–383. 1 indexed citations
4.
5.
Squarcina, Letizia, et al.. (2024). Heritability of white matter in twins: A diffusion neuroimaging review. Physics of Life Reviews. 50. 126–136. 1 indexed citations
6.
Scaini, Simona, Emanuela Medda, Marco Battaglia, et al.. (2023). A Twin Study of the Relationships between Cognitive Disengagement Syndrome and Anxiety Phenotypes in Childhood and Adolescence. Research on Child and Adolescent Psychopathology. 51(7). 949–960. 4 indexed citations
7.
Toccaceli, Virgilia, Maria Antonietta Stazi, Corrado Fagnani, et al.. (2022). Development and Validation of the Italian “Brief Five-Item Chronic Pain Questionnaire” for Epidemiological Studies. Journal of Pain Research. Volume 15. 1897–1913. 1 indexed citations
8.
Fagnani, Corrado, et al.. (2022). An Italian Twin Study of Non-Cancer Chronic Pain as a Wide Phenotype and Its Intensity. Medicina. 58(11). 1522–1522.
9.
Song, Jiali, Yan Gao, Shuang Hu, et al.. (2021). Association of long-term exposure to PM 2.5 with hypertension prevalence and blood pressure in China: a cross-sectional study. BMJ Open. 11(12). e050159–e050159. 14 indexed citations
10.
Fagnani, Corrado, et al.. (2017). [Determinants of eating behaviour: the contribution of twin studies].. PubMed. 39(5-6). 350–9. 1 indexed citations
11.
Picardi, Angelo, Corrado Fagnani, Emanuela Medda, et al.. (2014). Genetic and environmental influences underlying the relationship between autistic traits and temperament and character dimensions in adulthood. Comprehensive Psychiatry. 58. 178–188. 18 indexed citations
12.
Romiti, Adriana, Salvatore Raffa, Michela Roberto, et al.. (2014). Circulating Tumor Cells Count Predicts Survival in Colorectal Cancer Patients. Journal of Gastrointestinal and Liver Diseases. 23(3). 279–284. 40 indexed citations
13.
Brambilla, Paolo, Corrado Fagnani, Emanuela Medda, et al.. (2013). Genetic and environmental bases of the interplay between magical ideation and personality. Psychiatry Research. 215(2). 453–459. 16 indexed citations
14.
Fagnani, Corrado, Isabella Annesi‐Maesano, Sonia Brescianini, et al.. (2008). Heritability and Shared Genetic Effects of Asthma and Hay Fever: An Italian Study of Young Twins. Twin Research and Human Genetics. 11(2). 121–131. 44 indexed citations
15.
Medda, Emanuela, Serena Donati, Angela Spinelli, & Gian Carlo Di Renzo. (2003). Genetic amniocentesis: a risk factor for preterm delivery?. European Journal of Obstetrics & Gynecology and Reproductive Biology. 110(2). 153–158. 9 indexed citations
16.
Lauria, Laura, et al.. (1999). [Pilot study on compulsory vaccination coverage].. PubMed. 35(2). 341–7. 1 indexed citations
17.
Medda, Emanuela, et al.. (1996). [Cesarean delivery in Italy: a European record].. PubMed. 20(2-3). 105–6. 3 indexed citations
18.
Triassi, Maria, et al.. (1996). Persistence of immunity to poliomyelitis among a southern population that received four doses of OPV 5 to over 15 years before. European Journal of Epidemiology. 12(1). 5–8. 9 indexed citations
19.
Novello, F., et al.. (1996). Comparison of capillary blood versus venous blood samples in the assessment of immunity to measles. Journal of Virological Methods. 61(1-2). 73–77. 21 indexed citations
20.
Curatolo, Paolo, Carla Arpino, Maria Antonietta Stazi, & Emanuela Medda. (1995). RISK FACTORS FOR THE COOCCURRENCE OF PARTIAL EPILEPSY, CEREBRAL PALSY AND MENTAL RETARDATION. Developmental Medicine & Child Neurology. 37(9). 776–782. 24 indexed citations

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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