Brian Raftrey

862 total citations
8 papers, 533 citations indexed

About

Brian Raftrey is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Brian Raftrey has authored 8 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Brian Raftrey's work include Congenital heart defects research (6 papers), Single-cell and spatial transcriptomics (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Brian Raftrey is often cited by papers focused on Congenital heart defects research (6 papers), Single-cell and spatial transcriptomics (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Brian Raftrey collaborates with scholars based in United States, Germany and India. Brian Raftrey's co-authors include Kristy Red‐Horse, Aruna Poduri, Andrew H. Chang, Siyeon Rhee, Gaetano D’Amato, Mike V. Van, Heidi I. Chen, Jessica L. Feldman, Maria D. Sallee and Thanh Theresa Dinh and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Brian Raftrey

8 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Raftrey United States	8	381	122	86	74	71	8	533
Luca Bravi Italy	8	325 0.9×	109 0.9×	62 0.7×	54 0.7×	53 0.7×	9	847
Vincenza Caolo Netherlands	15	312 0.8×	91 0.7×	75 0.9×	65 0.9×	60 0.8×	17	553
Mei Chen United States	9	468 1.2×	164 1.3×	56 0.7×	49 0.7×	34 0.5×	12	811
Fabian Kruse Germany	13	407 1.1×	68 0.6×	51 0.6×	76 1.0×	48 0.7×	15	650
Aya Nomura-Kitabayashi United States	11	402 1.1×	99 0.8×	72 0.8×	103 1.4×	27 0.4×	15	560
Michele Marass Germany	9	309 0.8×	160 1.3×	75 0.9×	58 0.8×	28 0.4×	9	459
Álvaro González-Rajal Australia	11	462 1.2×	126 1.0×	74 0.9×	73 1.0×	36 0.5×	14	633
Xavier Langa Switzerland	8	363 1.0×	62 0.5×	65 0.8×	63 0.9×	58 0.8×	10	711
Alice Plein United Kingdom	8	444 1.2×	101 0.8×	55 0.6×	32 0.4×	93 1.3×	11	607
Yoshito Yamashiro Japan	16	257 0.7×	172 1.4×	174 2.0×	61 0.8×	31 0.4×	22	667

Countries citing papers authored by Brian Raftrey

Since Specialization

Citations

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

Fields of papers citing papers by Brian Raftrey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Raftrey

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

All Works

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8 of 8 papers shown

1.

Coronado, Pamela E. Rios, Mingming Zhao, Martin R. Pfaller, et al.. (2022). Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts. Nature Cardiovascular Research. 1(8). 775–790. 11 indexed citations

2.

Raftrey, Brian, Ian M. Williams, Pamela E. Rios Coronado, et al.. (2021). Dach1 Extends Artery Networks and Protects Against Cardiac Injury. Circulation Research. 129(7). 702–716. 31 indexed citations

3.

Gancz, Dana, Brian Raftrey, Rubén Marín‐Juez, et al.. (2019). Distinct origins and molecular mechanisms contribute to lymphatic formation during cardiac growth and regeneration. eLife. 8. 70 indexed citations

4.

Stanley, Geoff, Rahul Sinha, Gaetano D’Amato, et al.. (2018). Single-cell analysis of early progenitor cells that build coronary arteries. Nature. 559(7714). 356–362. 155 indexed citations

5.

Sallee, Maria D., et al.. (2018). Tissue-specific degradation of essential centrosome components reveals distinct microtubule populations at microtubule organizing centers. PLoS Biology. 16(8). e2005189–e2005189. 47 indexed citations

6.

Poduri, Aruna, Andrew H. Chang, Brian Raftrey, et al.. (2017). Endothelial cells respond to the direction of mechanical stimuli through SMAD signaling to regulate coronary artery size. Development. 144(18). 3241–3252. 69 indexed citations

7.

Chang, Andrew H., Brian Raftrey, Gaetano D’Amato, et al.. (2017). DACH1 stimulates shear stress-guided endothelial cell migration and coronary artery growth through the CXCL12–CXCR4 signaling axis. Genes & Development. 31(13). 1308–1324. 67 indexed citations

8.

Chen, Heidi I., Aruna Poduri, Riikka Kivelä, et al.. (2014). VEGF-C and aortic cardiomyocytes guide coronary artery stem development. Journal of Clinical Investigation. 124(11). 4899–4914. 83 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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