David Connuck

1.1k citations
22 papers · 813 · h-index 13

Impact in

Papers in

David Connuck

22 papers receiving 779 citations

Peers

David Connuck
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 339
  • Microbiology 43
  • Molecular Biology 416
  • Epidemiology 186
  • Endocrine and Autonomic Systems 30
Replace Michael H. Yen with:
Michael H. Yen United States
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Takeshi Matsushige Japan
Hannes Hudalla Germany
Thomas Baugnon France
Toshiyuki Katoh Japan
Adam S. Barnett United States
Juan José Tellería Orriols Spain
Merl J. Carson United States
J.M. Mussini France
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Citations per field
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Citations per year

Countries citing papers authored by David Connuck

Since Specialization
Citations

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

Fields of papers citing papers by David Connuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Connuck, 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 David Connuck Line = papers co-authored together David Connuck 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 2008174
2 2012121
3 1989108
4 200167
5 199155
6 200251
7 199150
8 200239
9 199133
10 200123
11 200522
12 200215
13 200212
14 199312
15 200211
16 20026
17 20025
18 20023
19 19892
20 20172

About David Connuck

David Connuck is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 813 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (7 papers), Congenital heart defects research (4 papers), Prenatal Substance Exposure Effects (3 papers), Coronary Artery Anomalies (3 papers), Neuroscience of respiration and sleep (3 papers), Protein Tyrosine Phosphatases (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (339 citations), Microbiology (43 citations), Molecular Biology (416 citations), Epidemiology (186 citations) and Endocrine and Autonomic Systems (30 citations). David Connuck has collaborated with scholars based in United States and Italy. Frequent co-authors include Steven D. Colan, Jeffrey A. Towbin, Steven E. Lipshultz, Lynn A. Sleeper, April M. Lowe, James D. Wilkinson, Gerald F. Cox, Bonnie Anne Salbert, Linda Leatherbury and Sudhir Mehta. Their work appears in journals such as Pediatric Research, American Heart Journal, Journal of the American Society of Echocardiography, The American Journal of Cardiology and Circulation.

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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