J.G. Brook

2.1k citations
76 papers · 1.7k indexed · h-index 23

J.G. Brook

76 papers receiving 1.6k citations

Peers

J.G. Brook
Comparison fields: 5 of 94
  • Biochemistry 240
  • Endocrinology, Diabetes and Metabolism 480
  • Cardiology and Cardiovascular Medicine 479
  • Surgery 787
  • Clinical Biochemistry 118
Replace Jacqueline Peynet with:
Jacqueline Peynet France
J. Stocks United Kingdom
Gabriele Bittolo Bon Italy
P Alessandrini Italy
Ichiro Michishita Japan
Christian Landou Sweden
Óscar Beloqui Spain
Jürgen Meyer Germany
Avedis K. Khachadurian United States
Masahiro Sugano Japan
J.G. Brook relative to Jacqueline Peynet France Jacqueline Peynet's profile →
Citations per field
00.5×1.6×
Jacqueline Peynet · 1×
Citations per year

Countries citing papers authored by J.G. Brook

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Brook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199924
2 199814
3 199519
4 199544
5 199449
6 1994153
7 199449
8 199491
9 19932
10 1992115
11 19925
12 199133
13 19903
14 199051
15 19896
16 19899
17 198835
18
The acute effects of high cholesterol and saturated fat diet on plasma lipoproteins and on platelet aggregation in normolipidemic subjects
19863
19 19866
20 198434

About J.G. Brook

J.G. Brook is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Cholesterol and Lipid Metabolism (12 papers), Cancer, Lipids, and Metabolism (12 papers), Antioxidant Activity and Oxidative Stress (7 papers), Lipid metabolism and disorders (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Biochemistry (240 citations), Endocrinology, Diabetes and Metabolism (480 citations) and Cardiology and Cardiovascular Medicine (479 citations). J.G. Brook has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael Aviram, J. Oiknine, Tony Hayek, Gertrude Dankner, Uri Cogan, Yishai Levy, S Keidar, Ori S. Better, Shai Linn and Jayson Rapoport. Their work appears in journals such as Atherosclerosis, Postgraduate Medical Journal, British Journal of Clinical Pharmacology, Metabolism and Journal of Pediatric Gastroenterology and Nutrition.

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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