Maria Pitrone

902 citations
20 papers · 738 · h-index 14

Impact in

Papers in

Maria Pitrone

20 papers receiving 723 citations

Peers

Maria Pitrone
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 140
  • Genetics 84
  • Cancer Research 94
  • Urology 36
  • Reproductive Medicine 28
Replace León Schurman with:
León Schurman Argentina
Bartolomeo Farzati Italy
Mio Tanaka Japan
Irene Hernández United States
Jie Min China
Claudia Sedlinsky Argentina
P. Pürstner Austria
Soheir Mahfouz Egypt
Arianne van Koppen Netherlands
Renuka Rao India
Maria Pitrone relative to León Schurman Argentina León Schurman's profile →
Citations per field
00.5×3.4×
León Schurman · 1×
Citations per year

Countries citing papers authored by Maria Pitrone

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pitrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011216
2 201787
3 201165
4 201461
5 201356
6 201043
7 201942
8 201728
9 202020
10 201218
11 201517
12 201915
13 201515
14 202013
15 201713
16 201110
17 20197
18 20167
19 20234
20
Functional and molecular characterization of cancer stem cells in anaplastic thyroid carcinoma
20121

About Maria Pitrone

Maria Pitrone is a scholar working on Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging, Cancer Research and Genetics, having authored 20 papers that have together received 738 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (3 papers), Adipose Tissue and Metabolism (2 papers), Diabetes and associated disorders (2 papers), Pluripotent Stem Cells Research (2 papers), Fatty Acid Research and Health (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Genetics (84 citations), Cancer Research (94 citations), Urology (36 citations) and Reproductive Medicine (28 citations). Maria Pitrone has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Carla Giordano, Marco Calogero Amato, Aldo Galluzzo, Giuseppe Pizzolanti, Laura Tomasello, Antonina Coppola, Walter Arancio, Giovanni Zito, Vito Rodolico and Valentina Guarnotta. Their work appears in journals such as Stem Cell Research & Therapy, International Journal of Molecular Sciences, PLoS ONE, Cell Transplantation and Frontiers in Cell and Developmental Biology.

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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