David Connuck

1.1k citations
22 papers · 749 · h-index 12

Impact in

Papers in

David Connuck

21 papers receiving 734 citations

Peers

David Connuck
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 350
  • Endocrine and Autonomic Systems 45
  • Microbiology 38
  • Molecular Biology 421
  • Epidemiology 194
Replace Hiroshi Isumi with:
Hiroshi Isumi Japan
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Anelia Dietmann Austria
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Maria Dowell United States
Shio‐Jean Lin Taiwan
Toshiyuki Katoh Japan
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Citations per field
00.5×3.4×
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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 2008163
2 2012110
3 198999
4 200162
5 199150
6 200249
7 199146
8 200235
9 199131
10 200123
11 200520
12 200213
13 199311
14 200211
15 20029
16 20026
17 20024
18 20023
19 19892
20
Abstract 2343: Outcomes in Children with Noonan Syndrome and Cardiomyopathy
20071

About David Connuck

David Connuck is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 749 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (9 papers), Neuroscience of respiration and sleep (7 papers), Coronary Artery Anomalies (4 papers), Congenital heart defects research (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Protein Tyrosine Phosphatases (2 papers), Neonatal and fetal brain pathology (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (350 citations), Endocrine and Autonomic Systems (45 citations), Microbiology (38 citations), Molecular Biology (421 citations) and Epidemiology (194 citations). David Connuck has collaborated with scholars based in United States and Italy. Frequent co-authors include Steven E. Lipshultz, April M. Lowe, Gerald F. Cox, Bonnie Anne Salbert, Steven D. Colan, Jeffrey A. Towbin, James D. Wilkinson, Lynn A. Sleeper, 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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