Shih‐Ya Hung

2.4k citations
55 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

Shih‐Ya Hung

54 papers receiving 1.8k citations

Hit Papers

Drug candidates in clinical trials for Alzheimer’s disease 2017 · 329 citations
3290+3+6Years since publication100200300

Peers

Shih‐Ya Hung
Comparison fields: 5 of 117
  • Neurology 200
  • Complementary and alternative medicine 187
  • Biological Psychiatry 57
  • Neurology 288
  • Pharmacology 292
Replace Dong‐Hee Choi with:
Dong‐Hee Choi South Korea
Ya‐Qun Zhou China
Pallab Bhattacharya India
Susana Cardoso Portugal
Dan Luo China
Arundhati Jana United States
Rajeev Taliyan India
Haitao Hu China
Xingchun Gou China
Peng Ye China
Shih‐Ya Hung relative to Dong‐Hee Choi South Korea Dong‐Hee Choi's profile →
Citations per field
00.5×1.5×2.1×
Dong‐Hee Choi · 1×
Citations per year

Countries citing papers authored by Shih‐Ya Hung

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Ya Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Drug candidates in clinical trials for Alzheimer’s disease
Hit paper breakdown →
2017329
2 2009160
3 2008117
4 201993
5 202076
6 201374
7 202173
8 200369
9 201466
10 200963
11 200961
12 201353
13 201751
14
Histone-modifying genes as biomarkers in hepatocellular carcinoma.
201440
15 201534
16 201134
17 201633
18 201930
19 201327
20 201327

About Shih‐Ya Hung

Shih‐Ya Hung is a scholar working on Molecular Biology, Epidemiology, Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Autophagy in Disease and Therapy (7 papers), Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (6 papers), RNA modifications and cancer (5 papers), Acupuncture Treatment Research Studies (5 papers), Alzheimer's disease research and treatments (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). The work is most often cited by research in Neurology (200 citations), Complementary and alternative medicine (187 citations), Biological Psychiatry (57 citations), Neurology (288 citations) and Pharmacology (292 citations). Shih‐Ya Hung has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Wen Fu, Houng‐Chi Liou, E. Maruthi Prasad, Wei‐Pang Huang, Yi‐Hung Chen, Ming‐Wei Lin, Kai‐Hsiang Kang, Jan‐Gowth Chang, Chi‐Chen Lin and Ruey‐Meei Wu. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, International Journal of Medical Sciences, European Journal of Pharmacology and Antioxidants.

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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