Van Tran‐Fadulu

18 total papers · 2.6k total citations
12 papers, 856 citations indexed

About

Van Tran‐Fadulu is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Van Tran‐Fadulu has authored 12 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Pulmonary and Respiratory Medicine and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Van Tran‐Fadulu's work include Connective tissue disorders research (10 papers), Aortic Disease and Treatment Approaches (9 papers) and Aortic aneurysm repair treatments (7 papers). Van Tran‐Fadulu is often cited by papers focused on Connective tissue disorders research (10 papers), Aortic Disease and Treatment Approaches (9 papers) and Aortic aneurysm repair treatments (7 papers). Van Tran‐Fadulu collaborates with scholars based in United States, India and Sweden. Van Tran‐Fadulu's co-authors include Dianna M. Milewicz, Hariyadarshi Pannu, Christina L. Papke, Andrea L. Lafont, Dongchuan Guo, Sakiko Inamoto, H. Pannu, G. Wesley Vick, Hazim J. Safi and Joseph S. Coselli and has published in prestigious journals such as Blood, Annals of the New York Academy of Sciences and Human Molecular Genetics.

In The Last Decade

Van Tran‐Fadulu

12 papers receiving 831 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Van Tran‐Fadulu	657	532	253	130	115	12	856
Andrea L. Lafont	585 0.9×	519 1.0×	204 0.8×	253 1.9×	109 0.9×	6	903
J. Lamont Murdoch	500 0.8×	537 1.0×	403 1.6×	109 0.8×	164 1.4×	10	880
Hal Dietz	657 1.0×	413 0.8×	117 0.5×	196 1.5×	210 1.8×	26	1.0k
Josephine Galatioto	337 0.5×	340 0.6×	123 0.5×	270 2.1×	56 0.5×	15	803
Hazem Abdul-Hussien	546 0.8×	116 0.2×	144 0.6×	79 0.6×	313 2.7×	7	801
Yoshikazu Aoka	300 0.5×	127 0.2×	227 0.9×	268 2.1×	169 1.5×	19	804
Ziad Touat	613 0.9×	83 0.2×	170 0.7×	92 0.7×	297 2.6×	16	821
Christopher W. Moehle	338 0.5×	75 0.1×	87 0.3×	257 2.0×	206 1.8×	8	734
Óscar Busnadiego	194 0.3×	66 0.1×	154 0.6×	307 2.4×	121 1.1×	12	758
Christopher C. Sullivan	415 0.6×	91 0.2×	334 1.3×	350 2.7×	103 0.9×	12	886

Countries citing papers authored by Van Tran‐Fadulu

Since Specialization

Citations

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

Fields of papers citing papers by Van Tran‐Fadulu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van Tran‐Fadulu. 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 Van Tran‐Fadulu. The network helps show where Van Tran‐Fadulu may publish in the future.

Co-authorship network of co-authors of Van Tran‐Fadulu

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

All Works

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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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