Gene Bond

1.3k citations
17 papers · 1.0k · h-index 12

Impact in

Papers in

Gene Bond

17 papers receiving 962 citations

Peers

Gene Bond
Comparison fields: 5 of 69
  • Rheumatology 295
  • Cardiology and Cardiovascular Medicine 398
  • Clinical Biochemistry 54
  • Endocrinology, Diabetes and Metabolism 101
  • Surgery 184
Replace Jan-Dirk Banga with:
Jan-Dirk Banga Netherlands
Isabella Catalano Italy
Guido Schnyder United States
Terje K. Steigen Norway
J. Hulthe Sweden
Riccardo Pin Switzerland
Ken Okubo Japan
Michael Bellamy United Kingdom
R. M. McCredie Australia
Ronald M. Krauss United States
Gene Bond relative to Jan-Dirk Banga Netherlands Jan-Dirk Banga's profile →
Citations per field
00.5×1.6×
Jan-Dirk Banga · 1×
Citations per year

Countries citing papers authored by Gene Bond

Since Specialization
Citations

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

Fields of papers citing papers by Gene Bond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993375
2 2001224
3 2001138
4 200980
5 199247
6 200135
7 199918
8 200816
9 199016
10
Cardiovascular risk profile of asymptomatic healthy young adults with increased carotid artery intima-media thickness: the Bogalusa Heart Study.
200315
11 199412
12 200511
13 199310
14 20069
15
Remnant-like lipoproteins concentration in plasma is strongly associated with early signs of carotid atherosclerosis in healthy 50-year old men.
19982
16 20062
17 19951

About Gene Bond

Gene Bond is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Cancer, Lipids, and Metabolism (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Folate and B Vitamins Research (1 paper), Head and Neck Cancer Studies (1 paper), Moyamoya disease diagnosis and treatment (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Rheumatology (295 citations), Cardiology and Cardiovascular Medicine (398 citations), Clinical Biochemistry (54 citations), Endocrinology, Diabetes and Metabolism (101 citations) and Surgery (184 citations). Gene Bond has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Moysés Szklo, F. Javier Nieto, Lloyd E. Chambless, M.R. Malinow, Alberto Zanchetti, Michael Hennig, Gianfranco Parati, Giuseppe Mancia, Fredrik Karpe and Anders Hamsten. Their work appears in journals such as Circulation, Journal of Hypertension, Nutrition Metabolism and Cardiovascular Diseases, Journal of the American College of Cardiology and Heart.

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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