Mario Cocco

781 citations
18 papers · 571 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 3
    • Circular RNAs in diseases 2
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

Mario Cocco

17 papers receiving 564 citations

Peers

Mario Cocco
Comparison fields: 5 of 54
  • Cancer Research 137
  • Pathology and Forensic Medicine 152
  • Immunology 160
  • Oncology 174
  • Genetics 49
Replace Konstanze Pechloff with:
Konstanze Pechloff Germany
Sonja Lagström Finland
Alexander Ungewickell United States
Liang‐Ji Zhou United States
J S Lipsick United States
Steven G. Irving United States
R J Armitage Canada
Colin C. Bird United Kingdom
Jamie P. Nourse Australia
Mario Cocco relative to Konstanze Pechloff Germany Konstanze Pechloff's profile →
Citations per field
00.5×1.5×
Konstanze Pechloff · 1×
Citations per year

Countries citing papers authored by Mario Cocco

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008140
2 201287
3 200965
4 200850
5 201242
6 201435
7
Routine assessment of hormonal receptor and her-2/neu status underscores the need for more therapeutic targets in Kenyan women with breast cancer.
200630
8 200725
9 201822
10 201619
11 200818
12 199916
13 202010
14 20066
15 20254
16 20111
17
Is hepatitis G virus a real risk for haemodialysis patients?
19991
18 20250

About Mario Cocco

Mario Cocco is a scholar working on Molecular Biology, Immunology, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 18 papers that have together received 571 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (2 papers), RNA Research and Splicing (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (137 citations), Pathology and Forensic Medicine (152 citations), Immunology (160 citations), Oncology (174 citations) and Genetics (49 citations). Mario Cocco has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Reuben Tooze, Gina M. Doody, Lorenzo Leoncini, Cristiana Bellan, Stefano Lazzi, Nicholas A. Barnes, Eleonora Leucci, Anna Onnis, Sophie Stephenson and Joshua Nyagol. Their work appears in journals such as The Journal of Immunology, Journal of Cellular Physiology, Transboundary and Emerging Diseases, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and American Journal Of Pathology.

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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