Ha Vu

770 citations
12 papers · 463 · h-index 9

Impact in

Papers in

    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 2
    • Developmental Biology and Gene Regulation 2
    • Pluripotent Stem Cells Research 1
    • RNA Research and Splicing 1
    • Pregnancy and preeclampsia studies 2

Ha Vu

12 papers receiving 460 citations

Peers

Ha Vu
Comparison fields: 5 of 56
  • Aging 51
  • Endocrine and Autonomic Systems 43
  • Molecular Biology 311
  • Obstetrics and Gynecology 21
  • Developmental Neuroscience 5
Replace Alina Malita with:
Alina Malita Denmark
Rachel A. Johnston United States
Selina Yu United States
Christopher S. Nelson United States
Célia Baltazar Portugal
Misako Okumura Japan
Jessie Chu United States
José Manuel Monroy Kuhn Germany
Morten Erik Moeller Denmark
Vera A. Cherkasova United States
Ha Vu relative to Alina Malita Denmark Alina Malita's profile →
Citations per field
00.5×5×10×15×21×
Alina Malita · 1×
Citations per year

Countries citing papers authored by Ha Vu

Since Specialization
Citations

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

Fields of papers citing papers by Ha Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ha Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ha Vu Line = papers co-authored together Ha Vu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2022133
2 202377
3 202264
4 201759
5 201835
6 202225
7 202224
8 202418
9 202316
10 20197
11 20233
12 20222

About Ha Vu

Ha Vu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Endocrine and Autonomic Systems, Immunology and Nuclear Energy and Engineering, having authored 12 papers that have together received 463 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (2 papers), Developmental Biology and Gene Regulation (2 papers), Pluripotent Stem Cells Research (1 paper), Circadian rhythm and melatonin (1 paper), RNA Research and Splicing (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Aging (51 citations), Endocrine and Autonomic Systems (43 citations), Molecular Biology (311 citations), Obstetrics and Gynecology (21 citations) and Developmental Neuroscience (5 citations). Ha Vu has collaborated with scholars based in United States. Frequent co-authors include Jason Ernst, Soo Bin Kwon, Ahmet Ali Ay, Krista K. Ingram, Allan Filipowicz, Wanding Zhou, Charles E. Breeze, Caesar Z. Li, A Arneson and Marco Morselli. Their work appears in journals such as Genome biology, Proceedings of the National Academy of Sciences, Development, Nature Communications and iScience.

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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