Lynne E. Nield

1.4k citations
52 papers · 856 · h-index 17

Impact in

Papers in

Lynne E. Nield

44 papers receiving 826 citations

Peers

Lynne E. Nield
Comparison fields: 5 of 57
  • Cardiology and Cardiovascular Medicine 251
  • Epidemiology 305
  • Rheumatology 127
  • Immunology and Allergy 31
  • Radiology, Nuclear Medicine and Imaging 107
Replace Jeffrey Smallhorn with:
Jeffrey Smallhorn Canada
Joanna Szymkiewicz–Dangel Poland
Zeev Perles Israel
Federico Gutiérrez‐Larraya Spain
P. Stoutenbeek Netherlands
Victor J. Wright United States
Thomas H. Urbania United States
M. Nadjari Israel
M. Tariq Bhatti United States
S Y Ho United Kingdom
Lynne E. Nield relative to Jeffrey Smallhorn Canada Jeffrey Smallhorn's profile →
Citations per field
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Jeffrey Smallhorn · 1×
Citations per year

Countries citing papers authored by Lynne E. Nield

Since Specialization
Citations

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

Fields of papers citing papers by Lynne E. Nield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynne E. Nield. 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 Lynne E. Nield. The network helps show where Lynne E. Nield may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002148
2 2002117
3 201068
4 200546
5 201336
6 201430
7 201026
8 200225
9 200724
10 200423
11 200822
12 200020
13 201419
14 201618
15 201818
16 201617
17 201016
18 201215
19 201815
20 201614

About Lynne E. Nield

Lynne E. Nield is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 52 papers that have together received 856 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Cardiovascular Conditions and Treatments (4 papers), Coronary Artery Anomalies (4 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Tracheal and airway disorders (3 papers), Cardiovascular Issues in Pregnancy (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (251 citations), Epidemiology (305 citations), Rheumatology (127 citations), Immunology and Allergy (31 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Lynne E. Nield has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Lisa K. Hornberger, Edgar Jaeggi, Cedric Manlhiot, Brian W. McCrindle, Jeffrey F. Smallhorn, Glenn Taylor, Earl D. Silverman, Steven E.S. Miner, Derek G. Human and Norman H. Silverman. Their work appears in journals such as American Heart Journal, Journal of Thoracic and Cardiovascular Surgery, Canadian Journal of Cardiology, Journal of Perinatology and Journal of the American College of Cardiology.

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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