Loris Bertazza

1.5k citations
64 papers · 1.2k · h-index 21

Impact in

Papers in

Loris Bertazza

60 papers receiving 1.2k citations

Peers

Loris Bertazza
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 457
  • Cancer Research 211
  • Oncology 246
  • Pathology and Forensic Medicine 81
  • Molecular Medicine 24
Replace Michelle L. Boland with:
Michelle L. Boland United States
Sarra Setrerrahmane China
Takehiko Segawa Japan
Xiaohong Xu China
Claudia Paternostro Italy
Remya Raja India
Paula C. Sotomayor United States
Laura Cesaratto Italy
Vera Piera Leoni Italy
Manuela Indelicato Italy
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Citations per field
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Citations per year

Countries citing papers authored by Loris Bertazza

Since Specialization
Citations

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

Fields of papers citing papers by Loris Bertazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010100
2 201177
3 201471
4 200755
5 201351
6 201648
7 200946
8 201744
9 201936
10 201935
11 201734
12 202333
13 201731
14 200628
15 201726
16 201525
17 201524
18 201623
19 202023
20 201922

About Loris Bertazza

Loris Bertazza is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (22 papers), Thyroid Disorders and Treatments (9 papers), Cancer, Hypoxia, and Metabolism (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related Molecular Pathways (4 papers), Adrenal and Paraganglionic Tumors (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (457 citations), Cancer Research (211 citations), Oncology (246 citations), Pathology and Forensic Medicine (81 citations) and Molecular Medicine (24 citations). Loris Bertazza has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Simone Mocellin, Caterina Mian, Susi Barollo, Gianmaria Pennelli, Francesca Galuppini, Simona Censi, Elisabetta Cavedon, Sara Watutantrige‐Fernando, Maurizio Iacobone and Jacopo Manso. Their work appears in journals such as Frontiers in Endocrinology, International Journal of Molecular Sciences, Nutrients, Thyroid and Clinical Chemistry and Laboratory Medicine (CCLM).

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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