G. Cricco

1.6k citations
53 papers · 1.3k · h-index 21

Impact in

  • Immunology top 5%
    • Mast cells and histamine
    • Polyamine Metabolism and Applications
    • Receptor Mechanisms and Signaling

Papers in

    • Polyamine Metabolism and Applications 22
    • Receptor Mechanisms and Signaling 9
    • Metabolism, Diabetes, and Cancer 6
    • Mast cells and histamine 32

G. Cricco

53 papers receiving 1.3k citations

Peers

G. Cricco
Comparison fields: 5 of 92
  • Immunology 615
  • Molecular Biology 814
  • Cancer Research 138
  • Biochemistry 59
  • Oncology 211
Replace G. Martín with:
G. Martín Argentina
Pradeep Bista United States
Motoshi Sawada Japan
Tetsuro Yoshimaru Japan
Angelika Börsch-Haubold United Kingdom
Fatouma Alimirah United States
Irina Budunova United States
Katarzyna Wejksza Poland
Emmanuelle Germain France
Clotilde Wiel Sweden
G. Cricco relative to G. Martín Argentina G. Martín's profile →
Citations per field
00.5×1.6×
G. Martín · 1×
Citations per year

Countries citing papers authored by G. Cricco

Since Specialization
Citations

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

Fields of papers citing papers by G. Cricco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 200886
3 199580
4 200180
5 200072
6 200666
7 199457
8 201356
9 199446
10 200841
11 200237
12 201332
13 199726
14 200726
15 200125
16 199425
17 199624
18 201122
19 201722
20 200021

About G. Cricco

G. Cricco is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mast cells and histamine (32 papers), Polyamine Metabolism and Applications (22 papers), Receptor Mechanisms and Signaling (9 papers), Cancer Cells and Metastasis (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Immunology (615 citations), Molecular Biology (814 citations), Cancer Research (138 citations), Biochemistry (59 citations) and Oncology (211 citations). G. Cricco has collaborated with scholars based in Argentina, Hungary and Spain. Frequent co-authors include R. Bergoc, Elena Rivera, G. Martín, Carlos Davio, Vanina A. Medina, Nora A. Mohamad, Carlos P. Fitzsimons, E. Rivera, Máximo Croci and Mariel Núñez. Their work appears in journals such as Inflammation Research, Cancer Letters, Biochemical Pharmacology, Cancer Biology & Therapy and Biochemistry and Cell 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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