Mario Stella

448 citations
23 papers · 343 · h-index 11

Impact in

Papers in

Mario Stella

23 papers receiving 328 citations

Peers

Mario Stella
Comparison fields: 5 of 78
  • Chemical Health and Safety 10
  • Genetics 49
  • Pathology and Forensic Medicine 77
  • Cancer Research 55
  • Genetics 59
Replace G. Casey with:
G. Casey Australia
Guoqiao Zheng United States
Harald Aarset Norway
Neil Murray United States
Hasan Acar Türkiye
Paige M. Bracci United States
Elli Papadimitriou Italy
Jung‐Sun Kim South Korea
Małgorzata Walentowicz‐Sadlecka Poland
J. G. Smith United Kingdom
Mario Stella relative to G. Casey Australia G. Casey's profile →
Citations per field
00.5×3.3×
G. Casey · 1×
Citations per year

Countries citing papers authored by Mario Stella

Since Specialization
Citations

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

Fields of papers citing papers by Mario Stella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200147
2 199743
3 200432
4 198428
5 199827
6 199022
7 197918
8 197818
9 201818
10 199914
11 199212
12 201710
13 20099
14 19959
15 19918
16 20168
17 19936
18 19904
19 19893
20 20052

About Mario Stella

Mario Stella is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Surgery and Molecular Biology, having authored 23 papers that have together received 343 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Polyomavirus and related diseases (2 papers), Viral-associated cancers and disorders (2 papers), Eosinophilic Esophagitis (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Chemical Health and Safety (10 citations), Genetics (49 citations), Pathology and Forensic Medicine (77 citations), Cancer Research (55 citations) and Genetics (59 citations). Mario Stella has collaborated with scholars based in Italy, Indonesia and Belgium. Frequent co-authors include Giovanni A. Rossi, Aroldo Rizzo, Vito Franco, A. Montaldi, Aldo Bonfante, Emilio Iannitto, Gerlando Quintini, Claudio Tripodo, Ada Maria Florena and Giuseppe Musumarra. Their work appears in journals such as Human Genetics, American Journal of Industrial Medicine, Journal of Nephrology, Thermochimica Acta and Anticancer Research.

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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