Daniela Pasquali

4.5k citations
113 papers · 3.2k indexed · h-index 36

Impact in

Papers in

Daniela Pasquali

110 papers receiving 3.1k citations

Peers

Daniela Pasquali
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Reproductive Medicine 554
  • Genetics 925
  • Surgery 829
  • Molecular Biology 1.1k
Replace Krystallenia Alexandraki with:
Krystallenia Alexandraki Greece
Manjula K. Gupta United States
A. Spada Italy
Dong‐Kyu Jin South Korea
Carlo Carella Italy
Sofia Tseleni‐Balafouta Greece
Yu Z. Bagger Denmark
Brigitte Delemer France
J.C. Birkenhäger Netherlands
P E Belchetz United Kingdom
Daniela Pasquali relative to Krystallenia Alexandraki Greece Krystallenia Alexandraki's profile →
Citations per field
00.5×4.5×
Krystallenia Alexandraki · 1×
Citations per year

Countries citing papers authored by Daniela Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016193
2 2017169
3 201780
4 199677
5 201275
6 200171
7 201465
8 200665
9 201264
10 200362
11 201661
12 201659
13 200159
14 201757
15 201355
16 201054
17 200854
18 200051
19 199750
20 199950

About Daniela Pasquali

Daniela Pasquali is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics, Surgery and Anatomy, having authored 113 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Thyroid Cancer Diagnosis and Treatment (19 papers), Hormonal Regulation and Hypertension (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Sexual Differentiation and Disorders (11 papers), Hormonal and reproductive studies (11 papers), Adrenal and Paraganglionic Tumors (11 papers) and Thyroid Disorders and Treatments (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Reproductive Medicine (554 citations), Genetics (925 citations), Surgery (829 citations) and Molecular Biology (1.1k citations). Daniela Pasquali has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Antonio Agostino Sinisi, Antonio Bellastella, Daniela Espósito, Giovanni Conzo, Annamaria De Bellis, Alberto Ferlin, Emmanuele A. Jannini, Giacomo Accardo, Vittorio Colantuoni and Giuseppe Bellastella. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, International Journal of Surgery, Journal of Molecular Endocrinology and BMC Surgery.

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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