Ya‐Hui Huang

2.4k citations
74 papers · 1.9k · h-index 26

Impact in

Papers in

    • Circular RNAs in diseases 6
    • RNA modifications and cancer 5
    • Cancer-related molecular mechanisms research 6
    • Cancer, Hypoxia, and Metabolism 6

Ya‐Hui Huang

72 papers receiving 1.9k citations

Peers

Ya‐Hui Huang
Comparison fields: 5 of 104
  • Cancer Research 553
  • Endocrinology, Diabetes and Metabolism 304
  • Molecular Medicine 68
  • Molecular Biology 884
  • Hepatology 77
Replace Yahui Liu with:
Yahui Liu China
Thanh Nguyen Singapore
Yuan Yao United States
Mukta M. Webber United States
Jian-Ying Zhang United States
Jun Zou China
Kazufumi Ohshiro United States
Hartmut M. Hanauske‐Abel United States
Cláudio J. Maia Portugal
Ya‐Hui Huang relative to Yahui Liu China Yahui Liu's profile →
Citations per field
00.5×11.3×
Yahui Liu · 1×
Citations per year

Countries citing papers authored by Ya‐Hui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Hui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2017128
3 2011112
4 2006101
5 200493
6 201277
7 201874
8 201159
9 201955
10 201548
11 200646
12
Thyroid hormone dependent regulation of target genes and their physiological significance.
200846
13 200845
14 201245
15 201039
16 200837
17 201137
18 201135
19 201535
20 202333

About Ya‐Hui Huang

Ya‐Hui Huang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Thyroid Disorders and Treatments (8 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Estrogen and related hormone effects (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (553 citations), Endocrinology, Diabetes and Metabolism (304 citations), Molecular Medicine (68 citations), Molecular Biology (884 citations) and Hepatology (77 citations). Ya‐Hui Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kwang‐Huei Lin, Chau‐Ting Yeh, Ming-Ming Tsai, Ying Liang, Hsiang‐Cheng Chi, Chia‐Siu Wang, Yang-Hsiang Lin, Chung‐Ying Tsai, I‐Hsiao Chung and Chia‐Jung Liao. Their work appears in journals such as Oncotarget, Anticancer Research, PLoS ONE, Endocrinology and Scientific Reports.

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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