Michela Massollo

49 papers receiving 1.3k citations

Peers

Michela Massollo
Comparison fields: 5 of 96
  • Genetics 329
  • Cancer Research 178
  • Endocrinology, Diabetes and Metabolism 170
  • Radiology, Nuclear Medicine and Imaging 204
  • Pulmonary and Respiratory Medicine 267
Replace J. Bryan Iorgulescu with:
J. Bryan Iorgulescu United States
Wolfgang‐Michael Franz Germany
Marian C. Neidert Switzerland
Cécile Duplàa France
Hirofumi Hirano Japan
Sophie Giraud France
Eric Wahlberg Sweden
Davide Nicoli Italy
Giuseppe Mangialardi Italy
Tetsuo Konno Japan
Michela Massollo relative to J. Bryan Iorgulescu United States J. Bryan Iorgulescu's profile →
Citations per field
00.5×1.7×
J. Bryan Iorgulescu · 1×
Citations per year

Countries citing papers authored by Michela Massollo

Since Specialization
Citations

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

Fields of papers citing papers by Michela Massollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011221
2 2012157
3 2013103
4 201474
5 200866
6 201349
7 201648
8 201341
9 201740
10 201239
11 201939
12 201537
13 201936
14 201327
15 201127
16 202126
17 201124
18 201023
19 201621
20 201021

About Michela Massollo

Michela Massollo is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Surgery, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Medical Imaging Techniques and Applications (6 papers), MRI in cancer diagnosis (3 papers), Vasculitis and related conditions (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Neuroblastoma Research and Treatments (3 papers), Aortic aneurysm repair treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (329 citations), Cancer Research (178 citations), Endocrinology, Diabetes and Metabolism (170 citations), Radiology, Nuclear Medicine and Imaging (204 citations) and Pulmonary and Respiratory Medicine (267 citations). Michela Massollo has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Gianmario Sambuceti, Cecilia Marini, Silvia Morbelli, Arnoldo Piccardo, Francesco Frassoni, Antonio Uccelli, Elisabetta Traggiai, Arinna Bertoni, Sabrina Chiesa and Sara Morando. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Lara D. Veeken, Reviews in Endocrine and Metabolic Disorders and Annals of Vascular Surgery.

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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