Federica Ultimieri

438 total citations
20 papers, 361 citations indexed

About

Federica Ultimieri is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, Federica Ultimieri has authored 20 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Federica Ultimieri's work include Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Federica Ultimieri is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Federica Ultimieri collaborates with scholars based in Italy, Denmark and United States. Federica Ultimieri's co-authors include Fausto Bogazzi, Francesco Raggi, Luigi Bartalena, Dania Russo, Maurizio Gasperi, Enio Martino, Chiara Cosci, Sandra Brogioni, E. Martino and Alberto Campomori and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of Endocrinology.

In The Last Decade

Federica Ultimieri

20 papers receiving 349 citations

Peers

Federica Ultimieri
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 165
  • Molecular Biology 154
  • Cancer Research 69
  • Sensory Systems 46
  • Health, Toxicology and Mutagenesis 41
Replace Ming Yan with:
Ming Yan China
Dena Hernandez United States
Laure Quignodon Switzerland
Sebastián Susperreguy Argentina
Christina M. Doolan Ireland
Jean‐Michel Gavaret France
Wen Gu China
José C. Utrilla Spain
Hafida Ghzili France
Gertraud Raber Germany
Ming Yan China View profile →
Citations per field, relative to Federica Ultimieri
Federica Ultimieri · 1×
Citations per year, relative to Federica Ultimieri
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Countries citing papers authored by Federica Ultimieri

Since Specialization
Citations

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

Fields of papers citing papers by Federica Ultimieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Ultimieri

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Ultimieri. A scholar is included among the top collaborators of Federica Ultimieri 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 Federica Ultimieri. Federica Ultimieri 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
# Work Indexed citations
1 11
2 20
3 4
4 10
5 18
6 7
7 4
8 6
9 19
10 26
11 23
12 45
13 30
14 41
15 12
16 3
17 29
18 21
19 24
20 8

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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