C.D. Furberg

953 citations
17 papers · 690 · h-index 8

Impact in

Papers in

    • Cardiovascular Health and Disease Prevention 3
    • Cardiovascular Disease and Adiposity 3
    • Cardiac electrophysiology and arrhythmias 2
    • Blood Pressure and Hypertension Studies 2
    • Lipoproteins and Cardiovascular Health 6

C.D. Furberg

16 papers receiving 653 citations

Peers

C.D. Furberg
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 254
  • Cardiology and Cardiovascular Medicine 161
  • Surgery 247
  • Cancer Research 72
  • Epidemiology 68
Replace H. U. Kloer with:
H. U. Kloer Germany
Jennifer Baker Australia
P J Lupien Canada
Paolo Pauciullo Italy
Toshio NISHIDE Japan
Joan Slack United Kingdom
Tomio KAMETANI Japan
M Liron Israel
S. Lale Tokgözoğlu Türkiye
S. Di Giacomo Italy
C.D. Furberg relative to H. U. Kloer Germany H. U. Kloer's profile →
Citations per field
00.5×1.5×
H. U. Kloer · 1×
Citations per year

Countries citing papers authored by C.D. Furberg

Since Specialization
Citations

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

Fields of papers citing papers by C.D. Furberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.D. Furberg. 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 C.D. Furberg. The network helps show where C.D. Furberg may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2003361
2 1988108
3 200164
4
Studies on an extra pre-beta lipoprotein fraction.
197263
5
200447
6 19969
7 20008
8 19947
9 19897
10 20045
11 19983
12 19942
13 19942
14 19941
15
[The long QT-syndrome].
19751
16 19941
17 20031

About C.D. Furberg

C.D. Furberg is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Cancer Research, having authored 17 papers that have together received 690 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Cardiovascular Health and Disease Prevention (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Cardiovascular Disease and Adiposity (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Cardiology and Cardiovascular Medicine (161 citations), Surgery (247 citations), Cancer Research (72 citations) and Epidemiology (68 citations). C.D. Furberg has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Ingmar Jungner, J. Fröhlich, Anthony Keech, Göran Walldius, Grethe S. Tell, John R. Crouse, G. Dahlén, Kurt Svärdsudd, C. Ericson and L Lundkvist. Their work appears in journals such as Atherosclerosis, The Lancet, American Journal of Hypertension, Circulation and Stroke.

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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