Ya‐Ting Hsu

1.1k citations
53 papers · 768 · h-index 14

Impact in

Papers in

Ya‐Ting Hsu

50 papers receiving 762 citations

Peers

Ya‐Ting Hsu
Comparison fields: 5 of 90
  • Biological Psychiatry 90
  • Cellular and Molecular Neuroscience 159
  • Cancer Research 106
  • Behavioral Neuroscience 24
  • Complementary and alternative medicine 54
Replace Sofie Voet with:
Sofie Voet Belgium
Mao‐Liang Chen Taiwan
Ajaib S. Paintlia United States
M. Idalia Cruz United States
Heming Yu China
Ping Zhu China
Ewa Bałkowiec-Iskra Poland
Yannick Schreiber Germany
Alexander B. Niculescu United States
Ya‐Ting Hsu relative to Sofie Voet Belgium Sofie Voet's profile →
Citations per field
00.5×3.6×
Sofie Voet · 1×
Citations per year

Countries citing papers authored by Ya‐Ting Hsu

Since Specialization
Citations

This map shows the geographic impact of Ya‐Ting 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‐Ting 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‐Ting Hsu more than expected).

Fields of papers citing papers by Ya‐Ting Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009194
2 201665
3 201363
4 201640
5 201336
6 202136
7 201730
8 201526
9 202021
10 202120
11 201317
12 201817
13 202216
14 202113
15 201112
16 202212
17 202011
18 202110
19 202110
20 202010

About Ya‐Ting Hsu

Ya‐Ting Hsu is a scholar working on Oncology, Pathology and Forensic Medicine, Hematology, Molecular Biology and Cancer Research, having authored 53 papers that have together received 768 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (4 papers), Epigenetics and DNA Methylation (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biological Psychiatry (90 citations), Cellular and Molecular Neuroscience (159 citations), Cancer Research (106 citations), Behavioral Neuroscience (24 citations) and Complementary and alternative medicine (54 citations). Ya‐Ting Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Xiaoning Bi, Michel Baudry, Hussam Jourdi, Miou Zhou, Qian Qin, Tsai‐Yun Chen, Chong‐Kuei Lii, Che‐Yi Chao, Chia‐Yang Lu and Haw‐Wen Chen. Their work appears in journals such as Clinical Cancer Research, Carcinogenesis, Frontiers in Medicine, Cancer Research and Cancer Medicine.

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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