C. Geoffrey Burns

5.2k citations
45 papers · 4.0k indexed · 1 hit paper · h-index 30

C. Geoffrey Burns

44 papers receiving 3.9k citations

Hit Papers

A Dynamic Epicardial Injury Response Supports Progenitor ...6292006202620122019200400600

Peers

C. Geoffrey Burns
Comparison fields: 5 of 115
  • Cell Biology 982
  • Molecular Biology 3.1k
  • Cardiology and Cardiovascular Medicine 739
  • Health, Toxicology and Mutagenesis 321
  • Epidemiology 727
Replace Jeroen Bakkers with:
Jeroen Bakkers Netherlands
Deborah Yelon United States
Andreas A. Werdich United States
David M. Bader United States
Huai‐Jen Tsai Taiwan
Steffen Just Germany
Chris Jopling France
Nadia Mercader Spain
Mathias Mericskay France
Ryan M. Anderson United States
C. Geoffrey Burns relative to Jeroen Bakkers Netherlands Jeroen Bakkers's profile →
Citations per field
00.5×3.5×
Jeroen Bakkers · 1×
Citations per year

Countries citing papers authored by C. Geoffrey Burns

Since Specialization
Citations

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

Fields of papers citing papers by C. Geoffrey Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Geoffrey Burns. 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 C. Geoffrey Burns. The network helps show where C. Geoffrey Burns may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202215
3 20222
4 202222
5 20216
6 201939
7 201934
8 201911
9 201982
10
Myocardial polyploidization creates a barrier to heart regeneration in zebrafish
20181
11 201819
12 2018195
13 201735
14 201717
15 201679
16 2015190
17 201355
18
A Dynamic Epicardial Injury Response Supports Progenitor Cell Activity during Zebrafish Heart Regenerationbreakdown →
2006629
19 2005281
20 2003200

About C. Geoffrey Burns

C. Geoffrey Burns is a scholar working on Cell Biology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 4.0k indexed citations. Recurring topics across this work include Congenital heart defects research (37 papers), Congenital Heart Disease Studies (14 papers), Zebrafish Biomedical Research Applications (11 papers), Cardiomyopathy and Myosin Studies (9 papers), Coronary Artery Anomalies (7 papers), RNA modifications and cancer (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Wind Turbine Control Systems (3 papers). The work is most often cited by research in Cell Biology (982 citations), Molecular Biology (3.1k citations) and Cardiology and Cardiovascular Medicine (739 citations). C. Geoffrey Burns has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Caroline E. Burns, Calum A. MacRae, Kenneth D. Poss, Mark C. Fishman, Kazu Kikuchi, Long Zhao, Warren Heideman, Richard E. Peterson, A. Simon Carney and Jennifer E. Holdway. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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