Ya‐Ling Hsu

9.0k citations
183 papers · 7.1k indexed · h-index 51

Impact in

  • Toxicology top 0.1%
    • Bioactive Compounds and Antitumor Agents
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Bioactive Compounds and Antitumor Agents 15
    • MicroRNA in disease regulation 15
    • NF-κB Signaling Pathways 12

Ya‐Ling Hsu

180 papers receiving 7.0k citations

Peers

Ya‐Ling Hsu
Comparison fields: 5 of 147
  • Toxicology 718
  • Cancer Research 1.2k
  • Pharmacology 667
  • Molecular Biology 4.0k
  • Biochemistry 306
Replace Po‐Lin Kuo with:
Po‐Lin Kuo Taiwan
Manoj K. Pandey United States
Santosh K. Sandur India
Karen T. Liby United States
Frank Arfuso Australia
Jin‐Jian Lu Macao
Shivendra V. Singh United States
Lihong Hu China
Mohammad Saleem United States
Qinglong Guo China
Ya‐Ling Hsu relative to Po‐Lin Kuo Taiwan Po‐Lin Kuo's profile →
Citations per field
00.5×
Po‐Lin Kuo · 1×
Citations per year

Countries citing papers authored by Ya‐Ling Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Ling Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20235
4 202017
5 20177
6 201529
7 201528
8 201312
9 201289
10 20119
11 20108
12 200949
13 200953
14 200954
15 200949
16 20070
17 200769
18 200637
19 200536
20 200563

About Ya‐Ling Hsu

Ya‐Ling Hsu is a scholar working on Toxicology, Cancer Research, Immunology, Oncology and Nephrology, having authored 183 papers that have together received 7.1k indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (15 papers), MicroRNA in disease regulation (15 papers), Bone Metabolism and Diseases (14 papers), Cancer-related Molecular Pathways (13 papers), Cell death mechanisms and regulation (13 papers), NF-κB Signaling Pathways (12 papers), Immune cells in cancer (12 papers) and Bone health and treatments (12 papers). The work is most often cited by research in Toxicology (718 citations), Cancer Research (1.2k citations), Pharmacology (667 citations), Molecular Biology (4.0k citations) and Biochemistry (306 citations). Ya‐Ling Hsu has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Po‐Lin Kuo, Chun‐Ching Lin, Jen‐Yu Hung, Wei‐An Chang, Ming‐Shyan Huang, Eing‐Mei Tsai, Jiunn‐Kae Chang, Chung‐Yi Chen, Ming‐Feng Hou and Chun‐Ching Lin. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Agricultural and Food Chemistry, Life Sciences, Cancer Letters and Oncology 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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