Marta Bianchini

655 citations
26 papers · 503 · h-index 15

Impact in

Papers in

Marta Bianchini

25 papers receiving 483 citations

Peers

Marta Bianchini
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 238
  • Reproductive Medicine 24
  • Pharmacology 21
  • Oncology 59
  • Obstetrics and Gynecology 12
Replace Anna Walentinsson with:
Anna Walentinsson Sweden
J. Koudy Williams United States
Linda M. Kerr Australia
P.F. Hirsch United States
Masafumi Haji Japan
Yuanyuan Huang China
Marty E. Sawaya United States
Sumei Lu China
Mounia Tannour‐Louet United States
Mohammed A. Salih United States
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Citations per field
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Citations per year

Countries citing papers authored by Marta Bianchini

Since Specialization
Citations

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

Fields of papers citing papers by Marta Bianchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marta Bianchini, 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 Marta Bianchini Line = papers co-authored together Marta Bianchini 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 199980
2 201350
3 201246
4 201541
5 201436
6 202134
7 201331
8 201526
9 201220
10 202320
11 202018
12 202118
13 202216
14
Aurora kinases: new molecular targets in thyroid cancer therapy.
201216
15
Diagnostic utility of thyroglobulin measurement in the fine needle aspirates from cervical lymph nodes: a case report.
201314
16 20238
17 20148
18 20206
19 20243
20
New molecular approaches in the diagnosis and prognosis of thyroid cancer patients.
20133

About Marta Bianchini

Marta Bianchini is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Oncology and Epidemiology, having authored 26 papers that have together received 503 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (4 papers), BRCA gene mutations in cancer (3 papers), Thyroid Disorders and Treatments (3 papers), Thyroid and Parathyroid Surgery (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Lung Cancer Research Studies (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (238 citations), Reproductive Medicine (24 citations), Pharmacology (21 citations), Oncology (59 citations) and Obstetrics and Gynecology (12 citations). Marta Bianchini has collaborated with scholars based in Italy, Switzerland and Malaysia. Frequent co-authors include M. S. Cid, Giorgio Grani, Angela Fumarola, Angela Nesca, Giovanni Carbotta, Rosa Lauretta, Marilda Mormando, A. Calvanese, Natalie Prinzi and Eugenio Redolfi Riva. Their work appears in journals such as Frontiers in Oncology, Frontiers in Endocrinology, Biomolecules, Clinical Endocrinology and Head & Neck.

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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