Marina Muzza

45 papers receiving 1.6k citations

Marina Muzza's Hit Papers

Update on Fundamental Mechanisms of Thyroid Cancer 2020 · 311 citations
3110+2+4Years since publication100200300

Peers

Marina Muzza
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Oncology 239
  • Genetics 239
  • Sensory Systems 39
  • Cancer Research 112
Replace Raffaele Ambrosio with:
Raffaele Ambrosio Italy
Michael Derwahl Germany
Håkan Wennbo Sweden
Shunhua Xing United States
Barbara Czarnocka Poland
Deborah Mannavola Italy
Maria L. Golson United States
Nathalie Fiaschi‐Taesch United States
Minoru Nakazato Japan
Werner Joba Germany
Marina Muzza relative to Raffaele Ambrosio Italy Raffaele Ambrosio's profile →
Citations per field
00.5×4.3×
Raffaele Ambrosio · 1×
Citations per year

Countries citing papers authored by Marina Muzza

Since Specialization
Citations

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

Fields of papers citing papers by Marina Muzza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Update on Fundamental Mechanisms of Thyroid Cancer
Hit paper breakdown →
2020311
2 2004153
3 2010141
4 201493
5 201275
6 200857
7 201456
8 201853
9 201746
10 201745
11 202037
12 202137
13 200935
14 201934
15 200733
16 200832
17 202032
18 201931
19 200729
20 201028

About Marina Muzza

Marina Muzza is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (27 papers), Thyroid Disorders and Treatments (9 papers), S100 Proteins and Annexins (5 papers), BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (5 papers), Genetic Syndromes and Imprinting (4 papers), Cancer-related Molecular Pathways (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Oncology (239 citations), Genetics (239 citations), Sensory Systems (39 citations) and Cancer Research (112 citations). Marina Muzza has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Laura Fugazzola, Valentina Cirello, Carla Colombo, Alessandro Prete, Marialuisa Sponziello, Nicole Nucci, Simona Censi, Leonardo Vicentini, Patricia Borges de Souza and Luca Persani. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Endocrine Related Cancer, Molecular and Cellular Endocrinology and Best Practice & Research Clinical Endocrinology & Metabolism.

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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