Song Huang
- Biochemistry top 5%
- Pharmacology top 2%
- Biological and pharmacological studies of plants 11
- Drug-Induced Hepatotoxicity and Protection 5
- Pharmacology top 2%
- Biological and pharmacological studies of plants 11
- Drug-Induced Hepatotoxicity and Protection 5
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 7
- Natural product bioactivities and synthesis 7
- Genomics, phytochemicals, and oxidative stress 5
- Plant biochemistry and biosynthesis 5
- Biological Psychiatry top 10%
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- Liver Disease Diagnosis and Treatment 6
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- Computational Drug Discovery Methods 5
- Co-authors
- Shaozhen HouXiao‐Ping LaiJian LiangLian HeQingping XiongZhirong ShenJin‐Man KimZhenhua Dai
- Cited by
- BiochemistryPharmacology
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Song Huang
123 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Biochemistry 166
- Pharmacology 458
- Pharmacology 222
- Molecular Biology 1.6k
- Biological Psychiatry 52
Countries citing papers authored by Song Huang
This map shows the geographic impact of Song Huang'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 Song Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Huang more than expected).
Fields of papers citing papers by Song Huang
This network shows the impact of papers produced by Song Huang. 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 Song Huang. The network helps show where Song Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 44 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 24 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 27 | |
| 17 | Improving The Oral Absorption Of Nintedanib By A Self-Microemulsion Drug Delivery System: Preparation And In Vitro/In Vivo Evaluation | 2019 | 1 |
| 18 | 2018 | 26 | |
| 19 | 2017 | 5 | |
| 20 | 2012 | 30 |
About Song Huang
Song Huang is a scholar working on Pharmacology, Pharmacology and Molecular Biology, having authored 129 papers that have together received 3.5k indexed citations. Recurring topics across this work include Biological and pharmacological studies of plants (11 papers), Genomics and Phylogenetic Studies (7 papers), Natural product bioactivities and synthesis (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Computational Drug Discovery Methods (5 papers) and Plant biochemistry and biosynthesis (5 papers). The work is most often cited by research in Biochemistry (166 citations), Pharmacology (458 citations) and Pharmacology (222 citations). Song Huang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Shaozhen Hou, Xiao‐Ping Lai, Jian Liang, Lian He, Qingping Xiong, Zhirong Shen, Jin‐Man Kim, Zhenhua Dai, Feifei Qiu and Chun-Ling Liang. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.