G. Giuberti

23 papers receiving 715 citations

Peers

G. Giuberti
Comparison fields: 5 of 88
  • Complementary and Manual Therapy 26
  • Endocrinology, Diabetes and Metabolism 111
  • Oncology 167
  • Biochemistry 37
  • Cancer Research 67
Replace Grégoire Martin with:
Grégoire Martin France
Sumeet Solanki United States
Véronique Sbarra France
Jörg F. Rippmann Germany
Naoyuki Maeda Japan
Ming-Tsung Lai Taiwan
Shoba Shetty United States
Keane K. Y. Lai United States
Sumio Kawata Japan
Chao Fang China
G. Giuberti relative to Grégoire Martin France Grégoire Martin's profile →
Citations per field
00.5×6.5×
Grégoire Martin · 1×
Citations per year

Countries citing papers authored by G. Giuberti

Since Specialization
Citations

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

Fields of papers citing papers by G. Giuberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Giuberti, 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. Giuberti Line = papers co-authored together G. Giuberti 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 200298
2 201179
3 199968
4 200166
5 200465
6 200355
7 200141
8 200433
9 200532
10 200531
11 200829
12 200122
13 200920
14 200220
15 200319
16 201216
17 200813
18 20076
19 20105
20
Identification of a FXIIIA variant in human neuroblastoma cell lines.
20135

About G. Giuberti

G. Giuberti is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Immunology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 730 indexed citations. Recurring topics across this work include Blood properties and coagulation (4 papers), Therapeutic Uses of Natural Elements (3 papers), Neuropeptides and Animal Physiology (3 papers), Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Cell death mechanisms and regulation (2 papers), interferon and immune responses (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Complementary and Manual Therapy (26 citations), Endocrinology, Diabetes and Metabolism (111 citations), Oncology (167 citations), Biochemistry (37 citations) and Cancer Research (67 citations). G. Giuberti has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Michele Caraglia, A. Abbruzzese, Salvatore Del Prete, Alberto Abbruzzese, Alfredo Budillon, Anna Maria D’Alessandro, Giovanni Vitale, Maurizio Marra, Giovanni Lupoli and Paola Stiuso. Their work appears in journals such as Amino Acids, Journal of Cellular Physiology, Cell Death and Differentiation, The Journal of Biochemistry and Clinical Radiology.

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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