G. Tibolla

19 papers receiving 1.1k citations

Peers

G. Tibolla
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 218
  • Clinical Biochemistry 86
  • Surgery 540
  • Immunology 226
  • Cancer Research 110
Replace Olga A. Iakoubova with:
Olga A. Iakoubova United States
Patrick Linsel‐Nitschke Germany
Patrizia Uboldi Italy
Lushan Liu China
Takanori Nakajima Japan
Sung-Hee Ihm South Korea
Farah Kramer United States
Fumiyasu Sato Japan
J. Kreuzer Germany
Tjeerd Sijmonsma Germany
G. Tibolla relative to Olga A. Iakoubova United States Olga A. Iakoubova's profile →
Citations per field
00.5×
Olga A. Iakoubova · 1×
Citations per year

Countries citing papers authored by G. Tibolla

Since Specialization
Citations

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

Fields of papers citing papers by G. Tibolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011213
2 2006143
3 2015131
4 200893
5 201193
6 201388
7 201679
8 200752
9 201449
10 200947
11 201435
12 201324
13 201321
14 201412
15 20159
16 20152
17 20141
18 20171
19 20141
20 20110

About G. Tibolla

G. Tibolla is a scholar working on Surgery, Molecular Biology, Computational Theory and Mathematics, Immunology and Cancer Research, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (13 papers), Computational Drug Discovery Methods (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers), Nuclear Receptors and Signaling (2 papers), Cholesterol and Lipid Metabolism (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (218 citations), Clinical Biochemistry (86 citations), Surgery (540 citations), Immunology (226 citations) and Cancer Research (110 citations). G. Tibolla has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Alberico L. Catapano, Giuseppe Danilo Norata, Alberto Corsini, Nicola Ferri, Angela Pirillo, Angelo Poletti, Francesco Cipollone, Andrea Mezzetti, Fiorella Meneghetti and Roberto Artali. Their work appears in journals such as Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, PLoS ONE, Trends in Pharmacological Sciences and The Annual Review of Pharmacology and Toxicology.

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.

Explore authors with similar magnitude of impact