C. Geoffrey Burns
- Molecular Biology top 2%
- Cell Biology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Surgery top 5%
- Co-authors
- Caroline E. BurnsCalum A. MacRaeKenneth D. PossMark C. FishmanKazu KikuchiLong ZhaoWarren HeidemanRichard E. Peterson
- Topics
- Congenital heart defects research (37 papers)Congenital Heart Disease Studies (14 papers)Zebrafish Biomedical Research Applications (11 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
C. Geoffrey Burns
44 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.1k
- Cell Biology 982
- Cardiology and Cardiovascular Medicine 739
- Epidemiology 727
- Surgery 558
Countries citing papers authored by C. Geoffrey Burns
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
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 of co-authors of C. Geoffrey Burns
This figure shows the co-authorship network connecting the top 25 collaborators of C. Geoffrey Burns. A scholar is included among the top collaborators of C. Geoffrey Burns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Geoffrey Burns. C. Geoffrey Burns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 6 | |
| 6 | 39 | |
| 7 | 34 | |
| 8 | 11 | |
| 9 | 82 | |
| 10 | Myocardial polyploidization creates a barrier to heart regeneration in zebrafish | 1 |
| 11 | 19 | |
| 12 | 195 | |
| 13 | 35 | |
| 14 | 17 | |
| 15 | 79 | |
| 16 | 190 | |
| 17 | 55 | |
| 18 | A Dynamic Epicardial Injury Response Supports Progenitor Cell Activity during Zebrafish Heart Regenerationbreakdown → | 629 |
| 19 | 281 | |
| 20 | 200 |
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) and Zebrafish Biomedical Research Applications (11 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.