Kenneth J. Dooley

2.8k citations
36 papers · 2.0k indexed · 1 hit paper · h-index 21

Kenneth J. Dooley

36 papers receiving 2.0k citations

Hit Papers

Zebrafish: a model system for the study of human disease5642000202620082017100200300400500

Peers

Kenneth J. Dooley
Comparison fields: 5 of 128
  • Epidemiology 910
  • Cell Biology 264
  • Pulmonary and Respiratory Medicine 480
  • Pediatrics, Perinatology and Child Health 248
  • Surgery 527
Replace Colin K. L. Phoon with:
Colin K. L. Phoon United States
Alvin J. Chin United States
Sydney S. Schochet United States
Keiko Yamamoto Japan
Gordon V. Watters Canada
Cheng Zhu China
Thomas B. Connor United States
Evangeline Wassmer United Kingdom
William F. McCormick United States
Justine A. Ellis Australia
Kenneth J. Dooley relative to Colin K. L. Phoon United States Colin K. L. Phoon's profile →
Citations per field
00.5×1.5×2.1×
Colin K. L. Phoon · 1×
Citations per year

Countries citing papers authored by Kenneth J. Dooley

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Dooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201711
2 201420
3 201283
4 20129
5 201216
6 201063
7 200914
8 2008204
9 200664
10 200216
11
Zebrafish: a model system for the study of human diseasebreakdown →
2000564
12 19963
13 199446
14 199336
15 199215
16 19907
17 198995
18 19892
19 198916
20 198327

About Kenneth J. Dooley

Kenneth J. Dooley is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (26 papers), Cardiovascular Conditions and Treatments (7 papers), Congenital heart defects research (6 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers), Respiratory and Cough-Related Research (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Epidemiology (910 citations), Cell Biology (264 citations) and Pulmonary and Respiratory Medicine (480 citations). Kenneth J. Dooley has collaborated with scholars based in United States. Frequent co-authors include Stephanie L. Sherman, Sallie B. Freeman, Adam E. Locke, Melissa M. Adams, Terry Hassold, Muin J. Khoury, Lisa F. Taft, Lora Jh Bean, Willis H. Williams and R. Curtis Ellison. Their work appears in journals such as The Lancet, Journal of the American College of Cardiology and PEDIATRICS.

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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