Lynne E. Nield

1.4k citations
50 papers · 846 indexed · h-index 16

Impact in

Papers in

Lynne E. Nield

43 papers receiving 815 citations

Peers

Lynne E. Nield
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 394
  • Epidemiology 376
  • Rheumatology 117
  • Immunology and Allergy 44
  • Surgery 305
Replace Federico Gutiérrez‐Larraya with:
Federico Gutiérrez‐Larraya Spain
Warren H. Toews United States
Grégory Marin France
P. Stoutenbeek Netherlands
Mona D. Shah United States
Lorna P. Browne United States
Lukas Rammeloo Netherlands
Thomas Wibmer Germany
Ercan Tutar Türkiye
S Y Ho United Kingdom
Lynne E. Nield relative to Federico Gutiérrez‐Larraya Spain Federico Gutiérrez‐Larraya's profile →
Citations per field
00.5×7.3×
Federico Gutiérrez‐Larraya · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002147
2 2002116
3 201067
4 200547
5 201336
6 201430
7 201026
8 200724
9 200224
10 200423
11 200822
12 200020
13 201419
14 201818
15 201618
16 201616
17 201015
18 201215
19 200914
20 201814

About Lynne E. Nield

Lynne E. Nield is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 846 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (27 papers), Cardiac Structural Anomalies and Repair (11 papers), Coronary Artery Anomalies (10 papers), Cardiovascular Issues in Pregnancy (10 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Mechanical Circulatory Support Devices (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (394 citations), Epidemiology (376 citations), Rheumatology (117 citations), Immunology and Allergy (44 citations) and Surgery (305 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, Lee Benson, Steven E.S. Miner and Yuk M. Law. Their work appears in journals such as American Heart Journal, Journal of Thoracic and Cardiovascular Surgery, Canadian Journal of Cardiology, Journal of the American College of Cardiology and The American Journal 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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