Dania Russo

494 citations
26 papers · 404 · h-index 13

Impact in

Papers in

Dania Russo

26 papers receiving 393 citations

Peers

Dania Russo
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 147
  • Sensory Systems 19
  • Cancer Research 54
  • Health, Toxicology and Mutagenesis 42
  • Reproductive Medicine 16
Replace Kazue Ise with:
Kazue Ise Japan
Isabel Castro‐Piedras United States
Dena Hernandez United States
Wen Gu China
Monika Paroder‐Belenitsky United States
Talat Afroze Canada
Romana Mughal United Kingdom
Per‐Erik Sandström Sweden
Chiara Cosci Italy
Janusz Pachucki Poland
Dania Russo relative to Kazue Ise Japan Kazue Ise's profile →
Citations per field
00.5×4.8×
Kazue Ise · 1×
Citations per year

Countries citing papers authored by Dania Russo

Since Specialization
Citations

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

Fields of papers citing papers by Dania Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200445
2 200341
3 201438
4 200430
5 200526
6 201623
7 200423
8 200519
9 200818
10 201318
11 201317
12 200312
13 201012
14 200911
15 202011
16 200810
17 200810
18 20077
19
Thyrotropin receptor: a role for thyroid tumourigenesis?
19997
20 20066

About Dania Russo

Dania Russo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Oncology, having authored 26 papers that have together received 404 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Pituitary Gland Disorders and Treatments (5 papers), Thyroid Disorders and Treatments (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Lipids, and Metabolism (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (147 citations), Sensory Systems (19 citations), Cancer Research (54 citations), Health, Toxicology and Mutagenesis (42 citations) and Reproductive Medicine (16 citations). Dania Russo has collaborated with scholars based in Italy, United Kingdom and Denmark. Frequent co-authors include Fausto Bogazzi, Francesco Raggi, Federica Ultimieri, Luigi Bartalena, Enio Martino, Maurizio Gasperi, Chiara Sardella, Claudio Urbani, Chiara Cosci and Sandra Brogioni. Their work appears in journals such as Endocrinology, Clinical Endocrinology, Journal of Endocrinology, European Journal of Endocrinology and Hormone and Metabolic Research.

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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