Kuo Gao

1.1k citations
28 papers · 806 indexed · 1 hit paper · h-index 11

Impact in

Papers in

Kuo Gao

27 papers receiving 793 citations

Hit Papers

SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping 2018 · 380 citations
3802018202620202023100200300

Peers

Kuo Gao
Comparison fields: 5 of 114
  • Complementary and alternative medicine 190
  • Pharmacology 162
  • Computational Theory and Mathematics 145
  • Biological Psychiatry 22
  • Geriatrics and Gerontology 33
Replace Feilong Zhang with:
Feilong Zhang China
Ruiying Wang China
Tianyi Yuan China
Huamin Zhang China
Chuipu Cai China
Cristian Nogales Netherlands
Chun Whan Choi South Korea
Kelvin Chan Australia
Lingjuan Zhu China
Kuo Gao relative to Feilong Zhang China Feilong Zhang's profile →
Citations per field
00.5×
Feilong Zhang · 1×
Citations per year

Countries citing papers authored by Kuo Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202420
4 20244
5 20196
6 20199
7 20191
8 201831
9 201780
10 201627
11 201629
12 20161
13 201676
14 20157
15 20151
16 201556
17 20143
18 201322
19 20131
20 201213

About Kuo Gao

Kuo Gao is a scholar working on Complementary and alternative medicine, Biological Psychiatry, Pharmacology, Computational Theory and Mathematics and Behavioral Neuroscience, having authored 28 papers that have together received 806 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Traditional Chinese Medicine Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Traditional Chinese Medicine Studies (5 papers), Bioinformatics and Genomic Networks (4 papers), Ginseng Biological Effects and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Complementary and alternative medicine (190 citations), Pharmacology (162 citations), Computational Theory and Mathematics (145 citations), Biological Psychiatry (22 citations) and Geriatrics and Gerontology (33 citations). Kuo Gao has collaborated with scholars based in China, Pakistan and Macao. Frequent co-authors include Jianxin Chen, Feilong Zhang, Wei Wang, Liang Sun, Yi Zhao, Xuezhong Zhou, Shuangsang Fang, Yang Wu, Kuo Yang and Dechao Bu. Their work appears in journals such as Molecules, Pharmacological Research, Scientific Reports, Journal of Affective Disorders and BMC Psychiatry.

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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