J. D. Knoke

4.1k citations
22 papers · 3.2k · 1 hit paper · h-index 11

Impact in

Papers in

J. D. Knoke

20 papers receiving 3.0k citations

J. D. Knoke's Hit Papers

High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies. 1989 · 2.5k citations
2.5k0+12+24Years since publication50010001.5k2.0k2.5k

Peers

J. D. Knoke
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Surgery 1.2k
  • Cancer Research 346
  • Cardiology and Cardiovascular Medicine 474
  • Clinical Biochemistry 103
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Citations per field
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Citations per year

Countries citing papers authored by J. D. Knoke

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Knoke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies.
Hit paper breakdown →
19892523
2 1986247
3 197875
4 200364
5 199953
6 199845
7 200043
8 200040
9 199124
10 197719
11 197611
12 19878
13 19768
14
Recruitment from clinical studies.
19827
15
Population characteristics according to recruitment source.
19825
16 19833
17 20232
18
Recruitment from Clinical Trials: The Lipid Research Clinics' Coronary Primary Prevention Trial Experience and Its Implication for Future Trials
19822
19 19852
20 20101

About J. D. Knoke

J. D. Knoke is a scholar working on Surgery, Psychiatry and Mental health, Statistics and Probability, Pharmacology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Statistical Methods in Clinical Trials (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Pharmacology and Obesity Treatment (2 papers), Climate Change and Health Impacts (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Occupational Health and Safety Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (1.2k citations), Cancer Research (346 citations), Cardiology and Cardiovascular Medicine (474 citations) and Clinical Biochemistry (103 citations). J. D. Knoke has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include David J. Gordon, Jeffrey L. Probstfield, Herman A. Tyroler, James D. Neaton, David R. Jacobs, William P. Castelli, Shrikant I. Bangdiwala, Robert J. Garrison, H. Robert Superko and Gregory C. Gray. Their work appears in journals such as American Journal of Epidemiology, Circulation, Pediatric Research, Biometrics and Journal of Clinical Investigation.

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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