Kuo‐Hsing Ma

1.6k citations
77 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Kuo‐Hsing Ma

72 papers receiving 1.2k citations

Peers

Kuo‐Hsing Ma
Comparison fields: 5 of 112
  • Biological Psychiatry 51
  • Cellular and Molecular Neuroscience 293
  • Toxicology 54
  • Sensory Systems 68
  • Pharmacology 209
Replace Yul Huh with:
Yul Huh United States
Bao‐Chun Jiang China
Stefano Romanello Italy
Phillip J. Albrecht United States
Christopher R. Donnelly United States
Andrea Ebersberger Germany
Annemarie Ledeboer United States
Marc R. Suter Switzerland
Ohannes K. Melemedjian United States
Luisa Benerini Gatta Italy
Kuo‐Hsing Ma relative to Yul Huh United States Yul Huh's profile →
Citations per field
00.5×10×20×29×
Yul Huh · 1×
Citations per year

Countries citing papers authored by Kuo‐Hsing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Hsing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202315
3 202213
4 20216
5 20197
6 20195
7 201515
8 20143
9 20142
10 201461
11 201417
12 201225
13 20127
14 201220
15 201122
16 20117
17 200915
18 200810
19 200725
20 20020

About Kuo‐Hsing Ma

Kuo‐Hsing Ma is a scholar working on Cellular and Molecular Neuroscience, Toxicology, Developmental Neuroscience, Neurology and Pharmacology, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Nerve injury and regeneration (8 papers), Forensic Toxicology and Drug Analysis (7 papers), Neurological disorders and treatments (7 papers), Medical Imaging Techniques and Applications (5 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Cellular and Molecular Neuroscience (293 citations), Toxicology (54 citations), Sensory Systems (68 citations) and Pharmacology (209 citations). Kuo‐Hsing Ma has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sheau‐Huei Chueh, I‐Hsun Li, Pei‐Shan Liu, Yuahn‐Sieh Huang, Cheng‐Yi Cheng, Jiang-Chuan Liu, Simin Liu, Libo Zhao, Sheng Chen and Hui Lin. Their work appears in journals such as Cell Transplantation, International Journal of Molecular Sciences, PLoS ONE, NeuroImage and Journal of Investigative Dermatology.

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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