Massimo Mascolo

4.9k citations
159 papers · 3.2k · h-index 35

Impact in

Papers in

Massimo Mascolo

152 papers receiving 3.1k citations

Peers

Massimo Mascolo
Comparison fields: 5 of 117
  • Obstetrics and Gynecology 751
  • Reproductive Medicine 394
  • Dermatology 214
  • Pathology and Forensic Medicine 384
  • Oncology 530
Replace Carla Rabitti with:
Carla Rabitti Italy
K. Czerwenka Austria
Tang‐Yuan Chu Taiwan
Ryoji Kushima Japan
Antonio Gil‐Moreno Spain
Antonio Palacı́n Spain
S. Nicholas Agoff United States
H.-E. Stegner Germany
Franco Odicino Italy
Silvia Lonardi Italy
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Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by Massimo Mascolo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Mascolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019146
2 2009105
3 2012105
4 201878
5 201975
6 200567
7 200666
8 200963
9 202057
10 201055
11 201955
12 202254
13 201353
14 200949
15 201949
16 201947
17 200647
18 201946
19 200944
20 201943

About Massimo Mascolo

Massimo Mascolo is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Dermatology and Surgery, having authored 159 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Endometrial and Cervical Cancer Treatments (16 papers), Ovarian cancer diagnosis and treatment (12 papers), Cutaneous lymphoproliferative disorders research (12 papers), Cutaneous Melanoma Detection and Management (10 papers), Cancer and Skin Lesions (8 papers), Sarcoma Diagnosis and Treatment (8 papers) and Viral-associated cancers and disorders (8 papers). The work is most often cited by research in Obstetrics and Gynecology (751 citations), Reproductive Medicine (394 citations), Dermatology (214 citations), Pathology and Forensic Medicine (384 citations) and Oncology (530 citations). Massimo Mascolo has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Stefania Staibano, Antonio Travaglino, Luigi Insabato, Antonio Raffone, Fulvio Zullo, Gaetano De Rosa, Gennaro Ilardi, Gabriele Saccone, Antonio Mollo and Daniela Russo. Their work appears in journals such as Cancers, JDDG Journal der Deutschen Dermatologischen Gesellschaft, American Journal of Clinical Pathology, Journal of the American Academy of Dermatology and International Journal of Molecular Sciences.

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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