M. Correale

68 papers receiving 964 citations

Peers

M. Correale
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 129
  • Hepatology 60
  • Immunology and Allergy 43
  • Cancer Research 94
  • Epidemiology 209
Replace Phaik‐Leng Cheah with:
Phaik‐Leng Cheah Malaysia
Syoji Kuroki Japan
Ines Abbate Italy
Kentaro Watanabe Japan
M Moorghen United Kingdom
Shuangshuang Zhao China
Tomonori Hada Japan
Takayuki Iwaki Japan
James P. Mapes United States
Oscar Alabiso Italy
M. Correale relative to Phaik‐Leng Cheah Malaysia Phaik‐Leng Cheah's profile →
Citations per field
00.5×4.3×
Phaik‐Leng Cheah · 1×
Citations per year

Countries citing papers authored by M. Correale

Since Specialization
Citations

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

Fields of papers citing papers by M. Correale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 200058
3 200554
4 201250
5 200140
6 199736
7 201834
8 201034
9 201331
10 201927
11
Comparison of nuclear matrix protein 22 and bladder tumor antigen in urine of patients with bladder cancer.
199927
12 201725
13 201823
14
Serum 90K/MAC-2BP glycoprotein levels in hepatocellular carcinoma and cirrhosis.
200022
15 201620
16 199419
17 199519
18 198618
19 199218
20 200318

About M. Correale

M. Correale is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Reproductive Medicine, having authored 68 papers that have together received 991 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), Protease and Inhibitor Mechanisms (6 papers), Glycosylation and Glycoproteins Research (5 papers), Estrogen and related hormone effects (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Hepatology (60 citations), Immunology and Allergy (43 citations), Cancer Research (94 citations) and Epidemiology (209 citations). M. Correale has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Vito Guerra, Palma Aurelia Iacovazzi, Giovanni Misciagna, Maria Gabriella Caruso, Maria Notarnicola, Ines Abbate, Onofrio G. Manghisi, S. Elba, Caterina Bonfiglio and Angelo Paradiso. Their work appears in journals such as The International Journal of Biological Markers, Immunopharmacology and Immunotoxicology, Clinical Chemistry and Laboratory Medicine (CCLM), International Journal of Oncology and Nutrients.

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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