Caroline E. Burns

5.2k total citations · 1 hit paper
43 papers, 3.8k citations indexed

About

Caroline E. Burns is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Caroline E. Burns has authored 43 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 17 papers in Cell Biology and 13 papers in Epidemiology. Recurrent topics in Caroline E. Burns's work include Congenital heart defects research (30 papers), Zebrafish Biomedical Research Applications (17 papers) and Congenital Heart Disease Studies (13 papers). Caroline E. Burns is often cited by papers focused on Congenital heart defects research (30 papers), Zebrafish Biomedical Research Applications (17 papers) and Congenital Heart Disease Studies (13 papers). Caroline E. Burns collaborates with scholars based in United States, Japan and South Korea. Caroline E. Burns's co-authors include Leonard I. Zon, C. Geoffrey Burns, Richard M. White, Long Zhao, Caitlin Bourque, Christopher J. Burke, Jocelyn LeBlanc, Craig J. Ceol, Anna K. Sessa and Michael Dovey and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Caroline E. Burns

42 papers receiving 3.7k citations

Hit Papers

Transparent Adult Zebrafish as a Tool for In Vivo Transpl... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caroline E. Burns United States 28 2.8k 1.5k 494 476 391 43 3.8k
Jeroen Bakkers Netherlands 42 4.7k 1.7× 1.5k 1.0× 591 1.2× 635 1.3× 796 2.0× 99 6.0k
Nadia Mercader Spain 30 2.4k 0.9× 564 0.4× 420 0.9× 183 0.4× 384 1.0× 58 3.1k
Ryan M. Anderson United States 29 3.4k 1.2× 987 0.6× 470 1.0× 276 0.6× 587 1.5× 59 5.0k
Gilbert Weidinger Germany 44 5.0k 1.8× 1.6k 1.0× 369 0.7× 463 1.0× 324 0.8× 75 6.7k
Denise Paulin France 35 3.0k 1.1× 1.4k 0.9× 265 0.5× 394 0.8× 483 1.2× 86 4.3k
Ian C. Scott Canada 30 2.3k 0.8× 788 0.5× 276 0.6× 184 0.4× 214 0.5× 58 3.6k
Anna Jaźwińska Switzerland 22 1.9k 0.7× 691 0.5× 281 0.6× 162 0.3× 229 0.6× 49 2.3k
Christian Mosimann United States 30 2.7k 1.0× 1.0k 0.7× 238 0.5× 335 0.7× 104 0.3× 56 3.5k
Akihiko Shimono Japan 31 3.2k 1.2× 895 0.6× 288 0.6× 318 0.7× 128 0.3× 50 4.3k
Deborah Yelon United States 46 6.0k 2.2× 2.1k 1.4× 1.2k 2.4× 398 0.8× 913 2.3× 92 7.1k

Countries citing papers authored by Caroline E. Burns

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline E. Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline E. Burns. A scholar is included among the top collaborators of Caroline E. 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 Caroline E. Burns. Caroline E. Burns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Trembley, Michael A., Vincent L. Butty, Long Zhao, et al.. (2022). RBPMS2 Is a Myocardial-Enriched Splicing Regulator Required for Cardiac Function. Circulation Research. 131(12). 980–1000. 15 indexed citations
3.
Sharpe, Michka, et al.. (2022). Ruvbl2 Suppresses Cardiomyocyte Proliferation During Zebrafish Heart Development and Regeneration. Frontiers in Cell and Developmental Biology. 10. 800594–800594. 2 indexed citations
4.
Burns, C. Geoffrey, et al.. (2021). Innate Mechanisms of Heart Regeneration. Cold Spring Harbor Perspectives in Biology. 13(11). a040766–a040766. 6 indexed citations
5.
Chen, Danni, Ruilin Zhang, Ricardo Serrano, et al.. (2019). Hemodynamic-mediated endocardial signaling controls in vivo myocardial reprogramming. eLife. 8. 39 indexed citations
6.
Ben-Yair, Raz, Vincent L. Butty, Michele Busby, et al.. (2019). H3K27me3-mediated silencing of structural genes is required for zebrafish heart regeneration. Development. 146(19). 34 indexed citations
7.
Burns, Caroline E., et al.. (2019). Exploring the Activities of RBPMS Proteins in Myocardial Biology. Pediatric Cardiology. 40(7). 1410–1418. 11 indexed citations
8.
Zhao, Long, Raz Ben-Yair, Caroline E. Burns, & C. Geoffrey Burns. (2019). Endocardial Notch Signaling Promotes Cardiomyocyte Proliferation in the Regenerating Zebrafish Heart through Wnt Pathway Antagonism. Cell Reports. 26(3). 546–554.e5. 82 indexed citations
9.
González‐Rosa, Juan Manuel, Michka Sharpe, Mark H. Soonpaa, et al.. (2018). Myocardial polyploidization creates a barrier to heart regeneration in zebrafish. PMC. 1 indexed citations
10.
Guner‐Ataman, Burcu, Juan Manuel González‐Rosa, Harsh N. Shah, et al.. (2018). Failed Progenitor Specification Underlies the Cardiopharyngeal Phenotypes in a Zebrafish Model of 22q11.2 Deletion Syndrome. Cell Reports. 24(5). 1342–1354.e5. 19 indexed citations
11.
González‐Rosa, Juan Manuel, Michka Sharpe, Mark H. Soonpaa, et al.. (2018). Myocardial Polyploidization Creates a Barrier to Heart Regeneration in Zebrafish. Developmental Cell. 44(4). 433–446.e7. 195 indexed citations
12.
Paffett-Lugassy, Noëlle, et al.. (2017). Unique developmental trajectories and genetic regulation of ventricular and outflow tract progenitors in the zebrafish second heart field. Development. 144(24). 4616–4624. 35 indexed citations
13.
Han, Peidong, Joshua Bloomekatz, Jie Ren, et al.. (2016). Coordinating cardiomyocyte interactions to direct ventricular chamber morphogenesis. Nature. 534(7609). 700–704. 79 indexed citations
14.
Mahmoud, Ahmed I., Caitlin C. O’Meara, Matthew Gemberling, et al.. (2015). Nerves Regulate Cardiomyocyte Proliferation and Heart Regeneration. Developmental Cell. 34(4). 387–399. 190 indexed citations
15.
Paffett-Lugassy, Noëlle, Reena Singh, Kathleen R. Nevis, et al.. (2013). Heart field origin of great vessel precursors relies on nkx2.5-mediated vasculogenesis. Nature Cell Biology. 15(11). 1362–1369. 55 indexed citations
16.
Taylor, Alison M., et al.. (2011). Hematopoietic defects in rps29 mutant zebrafish depend upon p53 activation. Experimental Hematology. 40(3). 228–237.e5. 54 indexed citations
17.
White, Richard M., Anna K. Sessa, Christopher J. Burke, et al.. (2008). Transparent Adult Zebrafish as a Tool for In Vivo Transplantation Analysis. Cell stem cell. 2(2). 183–189. 1003 indexed citations breakdown →
18.
Burns, Caroline E. & Leonard I. Zon. (2006). Homing Sweet Homing: Odyssey of Hematopoietic Stem Cells. Immunity. 25(6). 859–862. 12 indexed citations
19.
Burns, Caroline E. & Leonard I. Zon. (2002). Portrait of a Stem Cell. Developmental Cell. 3(5). 612–613. 38 indexed citations
20.
Burns, Caroline E., Tony DeBlasio, Yi Zhou, et al.. (2002). Isolation and characterization of runxa and runxb, zebrafish members of the runt family of transcriptional regulators. Experimental Hematology. 30(12). 1381–1389. 102 indexed citations

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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