Vera Huang

1.7k citations
24 papers · 1.2k indexed · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 3

Vera Huang

24 papers receiving 1.2k citations

Peers

Vera Huang
Comparison fields: 5 of 81
  • Cancer Research 614
  • Molecular Biology 1.1k
  • Aging 9
  • Immunology 74
  • Genetics 86
Replace Felipe Beckedorff with:
Felipe Beckedorff United States
Xinjun Ji United States
Mouloud Souidi France
Natalia Martínez Spain
Vamsi K. Gangaraju United States
Dmitry N. Lyabin Russia
Marshall Thomas United States
Jessica Sheu‐Gruttadauria United States
Tanel Punga Sweden
Annarita Miluzio Italy
Vera Huang relative to Felipe Beckedorff United States Felipe Beckedorff's profile →
Citations per field
00.5×3.2×
Felipe Beckedorff · 1×
Citations per year

Countries citing papers authored by Vera Huang

Since Specialization
Citations

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

Fields of papers citing papers by Vera Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Huang, 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 Vera Huang Line = papers co-authored together Vera Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20249
2 202043
3 20185
4 201716
5 20173
6 201529
7 201520
8 201414
9 201429
10 201333
11 2013103
12 201248
13 201252
14 201241
15 2011236
16 2011133
17 2010118
18 2010145
19 20094
20 200366

About Vera Huang

Vera Huang is a scholar working on Cancer Research, Aging, Molecular Biology, Neurology and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (7 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers), Virus-based gene therapy research (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Cancer Research (614 citations), Molecular Biology (1.1k citations), Aging (9 citations), Immunology (74 citations) and Genetics (86 citations). Vera Huang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Robert F. Place, Long-Cheng Li, Victoria Portnoy, Long‐Cheng Li, Ji Wang, Long‐Cheng Li, Zhongxia Qi, Ji Wang, Jingwei Yu and Xiaoling Wang. Their work appears in journals such as RNA Biology, Cancer Research, Pediatric Blood & Cancer, Molecular Therapy — Nucleic Acids and Blood.

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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