G. Bittolo‐Bon

1.9k citations
20 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Antioxidant Activity and Oxidative Stress (8 papers)Lipoproteins and Cardiovascular Health (6 papers)Cholesterol and Lipid Metabolism (5 papers)
Partner nations
ItalyRussiaUnited States

In The Last Decade

G. Bittolo‐Bon

19 papers receiving 1.4k citations

Hit Papers

Lipoprotein Lp(a) and the risk for myocardial infarction19812026199620111981100200300400500

Peers

G. Bittolo‐Bon
Comparison fields: 5 of 96
  • Surgery 786
  • Endocrinology, Diabetes and Metabolism 476
  • Biochemistry 456
  • Immunology 358
  • Molecular Biology 291
Replace J O'Neil with:
J O'Neil United States
V.V. Tertov Russia
J Seager United States
Greg P. Hough United States
Masakazu Sakai Japan
Claes Bergmark Sweden
Vincent A. Rifici United States
Sònia Benı́tez Spain
Fabienne Nigon France
Malcolm J. Mitchinson United Kingdom
G. Bittolo‐Bon relative to J O'Neil United States J O'Neil's profile →
Citations per field
00.5×1.5×2.5×
J O'Neil · 1×
Citations per year

Countries citing papers authored by G. Bittolo‐Bon

Since Specialization
Citations

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

Fields of papers citing papers by G. Bittolo‐Bon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Bittolo‐Bon

This figure shows the co-authorship network connecting the top 25 collaborators of G. Bittolo‐Bon. A scholar is included among the top collaborators of G. Bittolo‐Bon 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. Bittolo‐Bon. G. Bittolo‐Bon 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
#WorkIndexed citations
1 43
2 29
3 90
4 138
5 22
6 120
7 40
8 12
9 243
10 45
11 99
12 1
13 3
14 9
15 1
16
High density lipoproteins (methods of analysis and role in human atherosclerosis).
1
17 58
18
Lipoprotein Lp(a) and the risk for myocardial infarctionbreakdown →
565
19 3
20 5

About G. Bittolo‐Bon

G. Bittolo‐Bon is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Biochemistry (456 citations), Endocrinology, Diabetes and Metabolism (476 citations) and Surgery (786 citations). G. Bittolo‐Bon has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include G. Cazzolato, P Avogaro, Egon Marth, Gerhard M. Kostner, Howard N. Hodis, Alex Sevanian, Hazel Peterson, Dieter M. Kramsch, Juliana Hwang and Adriana Zamburlini. Their work appears in journals such as Free Radical Biology and Medicine, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

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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