Vu Luan Dang

719 total citations
8 papers, 309 citations indexed

About

Vu Luan Dang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Vu Luan Dang has authored 8 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Vu Luan Dang's work include Acute Lymphoblastic Leukemia research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Cancer therapeutics and mechanisms (1 paper). Vu Luan Dang is often cited by papers focused on Acute Lymphoblastic Leukemia research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Cancer therapeutics and mechanisms (1 paper). Vu Luan Dang collaborates with scholars based in Belgium, Vietnam and United States. Vu Luan Dang's co-authors include Irene Griswold‐Prenner, Nancy E. Stagliano, Sarah Wright, Bonnie Cooper, Sami Hussain, Graham C. Parry, Andrew Singh, Jessica Bright, Tony Byun and Ronald K.H. Liem and has published in prestigious journals such as Experimental Neurology, Neurobiology of Aging and British Journal of Clinical Pharmacology.

In The Last Decade

Vu Luan Dang

7 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vu Luan Dang Belgium	5	147	132	131	88	36	8	309
Jitin Bali Switzerland	5	142 1.0×	280 2.1×	91 0.7×	71 0.8×	21 0.6×	6	428
Andrew Mears United Kingdom	5	143 1.0×	187 1.4×	99 0.8×	53 0.6×	24 0.7×	5	355
Celeste Sassi United States	9	138 0.9×	129 1.0×	64 0.5×	70 0.8×	61 1.7×	13	281
Kelley Faber United States	5	213 1.4×	164 1.2×	46 0.4×	72 0.8×	100 2.8×	8	366
Veronica Redaelli Italy	13	133 0.9×	211 1.6×	75 0.6×	138 1.6×	142 3.9×	26	397
Heidi Yuan United States	5	180 1.2×	142 1.1×	80 0.6×	69 0.8×	32 0.9×	10	331
Barbara von Ungern‐Sternberg Germany	9	104 0.7×	60 0.5×	54 0.4×	73 0.8×	17 0.5×	18	217
Marius Chiasseu United States	5	127 0.9×	140 1.1×	58 0.4×	63 0.7×	34 0.9×	7	295
Christy Hung United Kingdom	8	149 1.0×	130 1.0×	42 0.3×	34 0.4×	26 0.7×	13	268
Nanet Willumsen United Kingdom	6	133 0.9×	122 0.9×	48 0.4×	52 0.6×	23 0.6×	11	246

Countries citing papers authored by Vu Luan Dang

Since Specialization

Citations

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

Fields of papers citing papers by Vu Luan Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vu Luan Dang. 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 Vu Luan Dang. The network helps show where Vu Luan Dang may publish in the future.

Co-authorship network of co-authors of Vu Luan Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Vu Luan Dang. A scholar is included among the top collaborators of Vu Luan Dang 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 Vu Luan Dang. Vu Luan Dang 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

Duong, Hong‐Quan, et al.. (2021). Anaplastic lymphoma kinase inhibitor NVP‑TAE684 suppresses the proliferation of human pancreatic adenocarcinoma cells. Oncology Reports. 45(4). 4 indexed citations

Dang, Vu Luan, Soizic Garaud, Pushpamali De Silva, et al.. (2019). Age-related changes in the BACH2 and PRDM1 genes in lymphocytes from healthy donors and chronic lymphocytic leukemia patients. BMC Cancer. 19(1). 81–81. 10 indexed citations

Dang, Vu Luan, et al.. (2015). A comparative study of bifidobacteria in human babies and adults. Bioscience of Microbiota Food and Health. 35(2). 97–103. 17 indexed citations

Saporta, Mario, Vu Luan Dang, Dmitri Volfson, et al.. (2014). Axonal Charcot–Marie–Tooth disease patient-derived motor neurons demonstrate disease-specific phenotypes including abnormal electrophysiological properties. Experimental Neurology. 263. 190–199. 98 indexed citations

Bright, Jessica, Sami Hussain, Vu Luan Dang, et al.. (2014). Human secreted tau increases amyloid-beta production. Neurobiology of Aging. 36(2). 693–709. 170 indexed citations

Ambroise, Jérôme, et al.. (2014). Comparative pharmacogenetic analysis of risk polymorphisms inCaucasian andVietnamese children with acute lymphoblastic leukemia: prediction of therapeutic outcome?. British Journal of Clinical Pharmacology. 79(3). 429–440. 7 indexed citations

Ambroise, Jérôme, Vu Luan Dang, Sophie Dupont, et al.. (2013). Comparison of Long-term Outcome Between White and Vietnamese Children Treated for Acute Lymphoblastic Leukemia According to the FRALLE 2000 Protocol. Journal of Pediatric Hematology/Oncology. 36(7). 534–540. 3 indexed citations

Dang, Vu Luan, Jerry L. Spivak, Alison R. Moliterno, et al.. (2009). donors and patients with acquired blood disorders Human-induced pluripotent stem cells from blood cells of healthy.

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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