Michael Burch

4.0k citations
61 papers · 1.7k indexed · h-index 22

Michael Burch

57 papers receiving 1.7k citations

Peers

Michael Burch
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 720
  • Epidemiology 453
  • Immunology 257
  • Molecular Biology 618
  • Surgery 392
Replace Hylton I. Miller with:
Hylton I. Miller Israel
E. Kreuzer Germany
Mun‐Kit Choy United Kingdom
A. Ellims Australia
Silvana Molossi United States
Gabriella De Rosa Italy
Hyo Eun Park South Korea
Scott L. Stevens United States
Friedrich A. Schoendube Germany
Stig Lyngbæk Denmark
Michael Burch relative to Hylton I. Miller Israel Hylton I. Miller's profile →
Citations per field
00.5×6.2×
Hylton I. Miller · 1×
Citations per year

Countries citing papers authored by Michael Burch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20186
2 20177
3 201759
4 201765
5 201547
6 2014179
7 20147
8 201319
9 201150
10 200935
11 20075
12 200633
13 200528
14 19990
15 19944
16 199356
17 199335
18 1993132
19 19934
20 199222

About Michael Burch

Michael Burch is a scholar working on Cardiology and Cardiovascular Medicine, Transplantation, Epidemiology, Surgery and Developmental Neuroscience, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Heart Failure Treatment and Management (18 papers), Mechanical Circulatory Support Devices (17 papers), Transplantation: Methods and Outcomes (11 papers), Cardiovascular Function and Risk Factors (10 papers), Cardiomyopathy and Myosin Studies (10 papers), Cardiac pacing and defibrillation studies (7 papers) and Cardiac Structural Anomalies and Repair (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (720 citations), Epidemiology (453 citations), Immunology (257 citations), Molecular Biology (618 citations) and Surgery (392 citations). Michael Burch has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Mike Sharland, Martin Paton, Michael A. Patton, Robert E. Shaddy, John Deanfield, Ian D. Sullivan, E A Shinebourne, Gillian Smith, William J. McKenna and Martin J. Elliott. Their work appears in journals such as Heart, Archives of Disease in Childhood, The Journal of Heart and Lung Transplantation, Journal of the American College of Cardiology and Circulation Heart Failure.

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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