Gene Bond

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

Impact in

Papers in

Gene Bond

17 papers receiving 958 citations

Peers

Gene Bond
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 504
  • Rheumatology 321
  • Endocrinology, Diabetes and Metabolism 151
  • Clinical Biochemistry 57
  • Surgery 292
Replace Jan-Dirk Banga with:
Jan-Dirk Banga Netherlands
Maddalena L. Zighetti Italy
Isabella Catalano Italy
Franca Cocci Italy
Michael Bellamy United Kingdom
R. M. McCredie Australia
Martin Auinger Austria
Ronald M. Krauss United States
Anna Coracina Italy
Riccardo Pin Switzerland
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-authorship network

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 200980
2 200816
3 20069
4 20062
5 200511
6
Cardiovascular risk profile of asymptomatic healthy young adults with increased carotid artery intima-media thickness: the Bogalusa Heart Study.
200315
7 200135
8 2001222
9 2001136
10 199918
11
Remnant-like lipoproteins concentration in plasma is strongly associated with early signs of carotid atherosclerosis in healthy 50-year old men.
19982
12 19951
13 199412
14 199310
15 1993375
16 199247
17 199016

About Gene Bond

Gene Bond is a scholar working on Cardiology and Cardiovascular Medicine, Otorhinolaryngology, Endocrinology, Diabetes and Metabolism, Biochemistry and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (9 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Blood Pressure and Hypertension Studies (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers), Nutritional Studies and Diet (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (504 citations), Rheumatology (321 citations), Endocrinology, Diabetes and Metabolism (151 citations), Clinical Biochemistry (57 citations) and Surgery (292 citations). Gene Bond has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include F. Javier Nieto, Moysés Szklo, Lloyd E. Chambless, M.R. Malinow, Alberto Zanchetti, Michael Hennig, Gianfranco Parati, Giuseppe Mancia, Anders Hamsten and Rong Tang. Their work appears in journals such as Journal of Hypertension, Circulation, Journal of Lipid Research, Drugs and Journal of Cardiovascular Pharmacology.

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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