Hsiang‐Wei Kuo

29 papers receiving 532 citations

Peers

Hsiang‐Wei Kuo
Comparison fields: 5 of 82
  • Biological Psychiatry 46
  • Anesthesiology and Pain Medicine 64
  • Pharmacology 65
  • Behavioral Neuroscience 21
  • Psychiatry and Mental health 55
Replace Alfhild Grӧnbladh with:
Alfhild Grӧnbladh Sweden
Jessica M. Collins Australia
Marc J. Barjavel United States
Lanxiang Wu China
Huilian Bu China
A. Brack Germany
Chaoli Huang China
Jason T. Doheny United States
L. J. Bryan‐Lluka Australia
Hsiang‐Wei Kuo relative to Alfhild Grӧnbladh Sweden Alfhild Grӧnbladh's profile →
Citations per field
00.5×3.8×
Alfhild Grӧnbladh · 1×
Citations per year

Countries citing papers authored by Hsiang‐Wei Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang‐Wei Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang‐Wei Kuo. 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 Hsiang‐Wei Kuo. The network helps show where Hsiang‐Wei Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 202152
3 201642
4 202239
5 201034
6 201333
7 200730
8 201428
9 201227
10 201326
11 200920
12 201817
13 201716
14 202315
15 201314
16 200810
17 202010
18 20209
19 20188
20 20218

About Hsiang‐Wei Kuo

Hsiang‐Wei Kuo is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 540 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (6 papers), Pain Management and Opioid Use (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Neuropeptides and Animal Physiology (3 papers), Diet and metabolism studies (2 papers), Metabolism and Genetic Disorders (2 papers), Cannabis and Cannabinoid Research (2 papers) and Alcoholism and Thiamine Deficiency (2 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Anesthesiology and Pain Medicine (64 citations), Pharmacology (65 citations), Behavioral Neuroscience (21 citations) and Psychiatry and Mental health (55 citations). Hsiang‐Wei Kuo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Li Liu, Hsiao‐Hui Tsou, Shu Chih Liu, Sheng‐Chang Wang, Andrew C. H. Chen, Keh‐Ming Lin, Shih‐Jen Tsai, Ing-Kang Ho, Chun‐Yuh Yang and Ren‐Hua Chung. Their work appears in journals such as PLoS ONE, The International Journal of Neuropsychopharmacology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Pharmacogenomics and Pharmacogenetics and Genomics.

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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