Van Tran‐Fadulu

2.7k citations
12 papers · 862 indexed · h-index 11
Topics
Connective tissue disorders research (10 papers)Aortic Disease and Treatment Approaches (9 papers)Aortic aneurysm repair treatments (7 papers)
Partner nations
United StatesSwedenIndia

In The Last Decade

Van Tran‐Fadulu

12 papers receiving 837 citations

Peers

Van Tran‐Fadulu
Comparison fields: 5 of 42
  • Pulmonary and Respiratory Medicine 658
  • Genetics 535
  • Cardiology and Cardiovascular Medicine 254
  • Molecular Biology 135
  • Surgery 115
Replace Andrea L. Lafont with:
Andrea L. Lafont United States
Pauline Arnaud France
Josephina Meester Belgium
Darrell Wu United States
Somyoth Sridurongrit United States
Albert J Pedroza United States
M. Boxer United Kingdom
Fleur S van Dijk Netherlands
Anne‐Laure Fauret France
S. Baydanoff Bulgaria
Van Tran‐Fadulu relative to Andrea L. Lafont United States Andrea L. Lafont's profile →
Citations per field
00.5×1.5×
Andrea L. Lafont · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 35
2 30
3 129
4 17
5 295
6 195
7 46
8 14
9 30
10 16
11 1
12 54

About Van Tran‐Fadulu

Van Tran‐Fadulu is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 12 papers that have together received 862 indexed citations. Recurring topics across this work include Connective tissue disorders research (10 papers), Aortic Disease and Treatment Approaches (9 papers) and Aortic aneurysm repair treatments (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (658 citations), Genetics (535 citations) and Cardiology and Cardiovascular Medicine (254 citations). Van Tran‐Fadulu has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Dianna M. Milewicz, Hariyadarshi Pannu, Christina L. Papke, Andrea L. Lafont, Dongchuan Guo, Sakiko Inamoto, G. Wesley Vick, H. Pannu, Anthony L. Estrera and Scott A. LeMaire. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences and Human Molecular Genetics.

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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