G. Cazzolato

4.2k total citations · 2 hit papers
69 papers, 3.4k citations indexed

About

G. Cazzolato is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, G. Cazzolato has authored 69 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 33 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Cancer Research. Recurrent topics in G. Cazzolato's work include Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers) and Cancer, Lipids, and Metabolism (17 papers). G. Cazzolato is often cited by papers focused on Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers) and Cancer, Lipids, and Metabolism (17 papers). G. Cazzolato collaborates with scholars based in Italy, Russia and Austria. G. Cazzolato's co-authors include P Avogaro, Gabriele Bittolo Bon, G. Bittolo‐Bon, G.B. Quinci, Gerhard M. Kostner, Egon Marth, Alex Sevanian, Howard N. Hodis, Adriana Zamburlini and Fulvio Ursini and has published in prestigious journals such as The Lancet, Free Radical Biology and Medicine and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

G. Cazzolato

65 papers receiving 3.2k citations

Hit Papers

Lipoprotein Lp(a) and the risk for myocardial infarction 1979 2026 1994 2010 1981 1979 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Cazzolato Italy 25 1.6k 1.4k 819 606 542 69 3.4k
P Avogaro Italy 22 1.5k 0.9× 1.2k 0.9× 605 0.7× 495 0.8× 525 1.0× 69 2.8k
Gabriele Bittolo Bon Italy 20 902 0.6× 870 0.6× 590 0.7× 293 0.5× 451 0.8× 43 2.3k
E L Bierman United States 32 2.0k 1.2× 1.6k 1.2× 305 0.4× 406 0.7× 750 1.4× 76 4.4k
Benjamin J. Ansell United States 22 1.9k 1.2× 1.6k 1.2× 273 0.3× 515 0.8× 711 1.3× 33 3.9k
John W. Gaubatz United States 27 1.5k 0.9× 710 0.5× 216 0.3× 526 0.9× 450 0.8× 42 2.7k
J L Witztum United States 15 830 0.5× 564 0.4× 878 1.1× 1.5k 2.5× 281 0.5× 23 3.3k
R.M. Krauss United States 10 1.7k 1.0× 2.0k 1.4× 229 0.3× 232 0.4× 667 1.2× 14 2.9k
T.G. Redgrave Australia 30 1.3k 0.8× 1.5k 1.1× 263 0.3× 210 0.3× 714 1.3× 73 3.8k
M. John Chapman France 28 1.4k 0.9× 1.1k 0.8× 210 0.3× 422 0.7× 571 1.1× 49 3.4k
Ganesamoorthy Subbanagounder United States 27 1.3k 0.8× 714 0.5× 1.2k 1.4× 1.9k 3.1× 352 0.6× 29 5.2k

Countries citing papers authored by G. Cazzolato

Since Specialization
Citations

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

Fields of papers citing papers by G. Cazzolato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cazzolato

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cazzolato. A scholar is included among the top collaborators of G. Cazzolato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Cazzolato. G. Cazzolato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Franceschini, Rossella, G. Cazzolato, Cristina Geroni, et al.. (2003). Blood glutathione as a surrogate marker of cancer tissue glutathione S-transferase activity in non-small cell lung cancer and squamous cell carcinoma of the head and neck. European Journal of Cancer. 39(7). 1019–1029. 24 indexed citations
3.
Moro, E, et al.. (1999). Is glycation of low density lipoproteins in patients with Type 2 diabetes mellitus a LDL pre‐oxidative condition?. Diabetic Medicine. 16(8). 663–669. 49 indexed citations
5.
Avogaro, Angelo, M Armigliato, G. Cazzolato, et al.. (1996). [Lipid peroxidation and LDL modifications in nondiabetic patients with ischemic heart disease: the role of insulin action].. PubMed. 26(2). 169–75. 2 indexed citations
6.
Pauletto, Paolo, Massimo Puato, Edoardo Casiglia, et al.. (1996). Blood pressure and atherogenic lipoprotein profiles of fish-diet and vegetarian villagers in Tanzania: the Lugalawa study. The Lancet. 348(9030). 784–788. 91 indexed citations
7.
Mancuso, Giuseppe, Guido Regina, Marina Bagnoli, et al.. (1996). ‘Normolipidemic’ Tendinous and Tuberous Xanthomatosis. Dermatology. 193(1). 27–32. 8 indexed citations
8.
Tertov, Vladimir V., G. Bittolo‐Bon, Igor A. Sobenin, et al.. (1995). Naturally Occurring Modified Low Density Lipoproteins Are Similar if Not Identical: More Electronegative and Desialylated Lipoprotein Subfractions. Experimental and Molecular Pathology. 62(3). 166–172. 40 indexed citations
9.
Bittolo‐Bon, G., G. Cazzolato, & P Avogaro. (1994). Probucol protects low-density lipoproteins from in vitro and in vivo oxidation. Pharmacological Research. 29(4). 337–344. 12 indexed citations
10.
Avogaro, P, G. Cazzolato, & G. Bittolo‐Bon. (1991). Some questions concerning a small, more electronegative LDL circulating in human plasma. Atherosclerosis. 91(1-2). 163–171. 45 indexed citations
11.
Cazzolato, G., P Avogaro, & G. Bittolo‐Bon. (1991). Characterization of a more electronegatively charged LDL subfraction by ion exchange HPLC. Free Radical Biology and Medicine. 11(3). 247–253. 99 indexed citations
12.
Avogaro, P, G. Cazzolato, & G. Bittolo‐Bon. (1990). Presence and possible meaning of a more electronegative LDL in human plasma. Free Radical Biology and Medicine. 9. 66–66. 1 indexed citations
13.
Bittolo‐Bon, G., G. Cazzolato, & P Avogaro. (1990). Effect of probucol on a more electronegative LDL subfraction in primary hypercholesterolemia. Free Radical Biology and Medicine. 9. 67–67. 3 indexed citations
14.
Avogaro, P, et al.. (1988). Isolation and Partial Characterization of an Oxidized LDL in Humans. PubMed. 49. 391–396. 5 indexed citations
15.
Avogaro, P, Gabriele Bittolo Bon, & G. Cazzolato. (1987). Meaning of a Modified LDL in Humans. Advances in experimental medicine and biology. 210. 209–212. 2 indexed citations
16.
Bittolo‐Bon, G., et al.. (1985). Effects of pantethine on in-vitro peroxidation of low density lipoproteins. Atherosclerosis. 57(1). 99–106. 9 indexed citations
17.
Avogaro, P, et al.. (1983). Distribution and concentration of apolipoprotein E in high and low density lipoproteins. La Ricerca in Clinica e in Laboratorio. 13(4). 431–436. 9 indexed citations
18.
Avogaro, P, Gabriele Bittolo Bon, G. Cazzolato, & G.B. Quinci. (1979). Are Apolipoproteins Better Discriminators than Lipids for Atherosclerosis?. Obstetrical & Gynecological Survey. 34(9). 688–690. 11 indexed citations
19.
Avogaro, P, et al.. (1978). Variations in apolipoproteins B and A, during the course of myocardial infarction. European Journal of Clinical Investigation. 8(3). 121–129. 77 indexed citations
20.
Bittolo‐Bon, G., et al.. (1978). Effect of sorbinicate (nicotinic hexaester of d-glucitol) on the plasma FFA; plasma levels of nicotinic acid after sorbinicate administration. Pharmacological Research Communications. 10(2). 127–131. 3 indexed citations

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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