Daniela Bosco

1.5k citations
46 papers · 1.2k · h-index 19

Impact in

Papers in

Daniela Bosco

45 papers receiving 1.2k citations

Peers

Daniela Bosco
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 547
  • Hepatology 129
  • Nephrology 123
  • Immunology and Allergy 40
  • Genetics 54
Replace Shun‐Chen Huang with:
Shun‐Chen Huang Taiwan
Şükrü Oğuz Özdamar Türkiye
Xuekui Liu China
Randall Paul Owen United States
Hangjun Wang Canada
Valeria Ramundo Italy
Yiting Wang China
Agnès Hartemann–Heurtier France
Li Hu China
Maria Grazia Chiofalo Italy
Daniela Bosco relative to Shun‐Chen Huang Taiwan Shun‐Chen Huang's profile →
Citations per field
00.5×5×10×15.2×
Shun‐Chen Huang · 1×
Citations per year

Countries citing papers authored by Daniela Bosco

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bosco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018244
2 201697
3 201770
4 201460
5 201954
6 201552
7 201450
8 201249
9 201643
10 201742
11 202037
12 201936
13
Expression of bcl-2, c-erbB-2, p53, and p21 (waf1-cip1) protein in thyroid carcinomas.
199934
14 202033
15 199829
16 201723
17 202122
18 201921
19 201819
20 200418

About Daniela Bosco

Daniela Bosco is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Hepatology and Nephrology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Mesenchymal stem cell research (6 papers), Liver physiology and pathology (6 papers), Thyroid and Parathyroid Surgery (5 papers), Parathyroid Disorders and Treatments (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Oral and Maxillofacial Pathology (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (547 citations), Hepatology (129 citations), Nephrology (123 citations), Immunology and Allergy (40 citations) and Genetics (54 citations). Daniela Bosco has collaborated with scholars based in Italy, United States and Latvia. Frequent co-authors include Valeria Ascoli, Giorgio Grani, Vito Cantisani, Cosimo Durante, Livia Lamartina, Marco Biffoni, Sébastiano Filetti, Valeria Ramundo, Marianna Maranghi and Rosa Falcone. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Hepatology, Journal of Bone and Mineral Research, Scientific Reports and Hepatology.

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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