Emilia Sbardella

4.6k citations
101 papers · 3.0k indexed · h-index 33

Emilia Sbardella

97 papers receiving 3.0k citations

Peers

Emilia Sbardella
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Pathology and Forensic Medicine 912
  • Neurology 447
  • Behavioral Neuroscience 104
  • Radiology, Nuclear Medicine and Imaging 473
Replace David Bates with:
David Bates United Kingdom
Ettore C. degli Uberti Italy
Antonio Bellastella Italy
József Varga Hungary
Thomas P. Jacobs United States
James E. Faber United States
A. J. van der Lely Netherlands
Beata Kos‐Kudła Poland
Jean‐Jacques Robert France
Nicholas A. Tritos United States
Emilia Sbardella relative to David Bates United Kingdom David Bates's profile →
Citations per field
00.5×5.2×
David Bates · 1×
Citations per year

Countries citing papers authored by Emilia Sbardella

Since Specialization
Citations

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

Fields of papers citing papers by Emilia Sbardella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20241
3 20246
4 20239
5 20233
6 20238
7 202225
8 202117
9 20213
10 202126
11 202031
12 202014
13 201916
14 201831
15 201661
16 201646
17 201647
18 2013111
19 20104
20 200923

About Emilia Sbardella

Emilia Sbardella is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Pathology and Forensic Medicine, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (30 papers), Multiple Sclerosis Research Studies (24 papers), Hormonal Regulation and Hypertension (20 papers), Adrenal Hormones and Disorders (19 papers), Adrenal and Paraganglionic Tumors (15 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Sexual Differentiation and Disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Pathology and Forensic Medicine (912 citations) and Neurology (447 citations). Emilia Sbardella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Andrea M. Isidori, Patrizià Pantano, Nikolaos Petsas, Francesca Tona, Carlo Pozzilli, Ashley Grossman, Andrea Lenzi, Luca Prosperini, Daniele Gianfrilli and Mary Anna Venneri. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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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