M. Torta

59 papers receiving 1.6k citations

Peers

M. Torta
Comparison fields: 5 of 84
  • Oncology 648
  • Pulmonary and Respiratory Medicine 441
  • Endocrine and Autonomic Systems 87
  • Cancer Research 146
  • Dermatology 85
Replace Fabio Orlandi with:
Fabio Orlandi Italy
Knut Lote Norway
Rupa Parvataneni United States
D.P. Dearnaley United Kingdom
J. Y. Delattre France
Guido Ficarra Italy
Mark B. Zimering United States
B Endrich Germany
Jean-Michel Vannetzel France
Pascal Merlet France
M. Torta relative to Fabio Orlandi Italy Fabio Orlandi's profile →
Citations per field
00.5×5.3×
Fabio Orlandi · 1×
Citations per year

Countries citing papers authored by M. Torta

Since Specialization
Citations

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

Fields of papers citing papers by M. Torta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000169
2 2007117
3 2005106
4 2000104
5 199994
6 199473
7 199769
8 200766
9 201465
10 199654
11 200151
12 198646
13 199741
14 200138
15 200832
16
The neuroendocrine phenotype in prostate cancer: basic and clinical aspects.
200532
17
Association of cyst type with risk factors for breast cancer and relapse rate in women with gross cystic disease of the breast.
199231
18 199429
19 200128
20 200527

About M. Torta

M. Torta is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Endocrine and Autonomic Systems, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone health and treatments (14 papers), Breast Lesions and Carcinomas (10 papers), Circadian rhythm and melatonin (8 papers), Neuroendocrine Tumor Research Advances (7 papers), Bone health and osteoporosis research (5 papers), Prostate Cancer Treatment and Research (5 papers), Cancer and Skin Lesions (5 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Oncology (648 citations), Pulmonary and Respiratory Medicine (441 citations), Endocrine and Autonomic Systems (87 citations), Cancer Research (146 citations) and Dermatology (85 citations). M. Torta has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Luigi Dogliotti, Alberto Angeli, Alfredo Berruti, G. Gorzegno, Marco Tampellini, Alessandra Mosca, Dario Fontana, Alfredo Berruti, R. Tarabuzzi and Maurizio Bellina. Their work appears in journals such as The Journal of Urology, Annals of the New York Academy of Sciences, The International Journal of Biological Markers, British Journal of Cancer and European Journal of Cancer.

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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