Dane Huang
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
- Pharmacological Effects of Natural Compounds
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- Bone Metabolism and Diseases
- Natural product bioactivities and synthesis
- Bioactive Natural Diterpenoids Research
Papers in
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- Bone Metabolism and Diseases 8
- Natural product bioactivities and synthesis 2
- Peroxisome Proliferator-Activated Receptors 2
- Biological Activity of Diterpenoids and Biflavonoids 2
- Oncology 8
- Bone health and treatments 5
- Co-authors
- Jun Xu (13 shared papers)Qiong Gu (12 shared papers)Dake Cai (7 shared papers)Haining Gan (7 shared papers)Nan Yao (3 shared papers)Ge Hu (2 shared papers)Zhihong Liu (2 shared papers)Chao Zhao (4 shared papers)
- Journals
- Bioorganic Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)RSC Advances (2 papers)Oncology Reports (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dane Huang
27 papers receiving 469 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 66
- Pharmacology 87
- Molecular Biology 287
- Computational Theory and Mathematics 62
- Cancer Research 51
Countries citing papers authored by Dane Huang
This map shows the geographic impact of Dane 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 Dane Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Huang more than expected).
Fields of papers citing papers by Dane Huang
This network shows the impact of papers produced by Dane 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 Dane Huang. The network helps show where Dane Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 40 | |
| 2 | 2022 | 39 | |
| 3 | 2018 | 35 | |
| 4 | 2014 | 34 | |
| 5 | 2020 | 29 | |
| 6 | 2013 | 29 | |
| 7 | 2011 | 27 | |
| 8 | 2013 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2014 | 10 |
About Dane Huang
Dane Huang is a scholar working on Molecular Biology, Oncology, Surgery, Computational Theory and Mathematics and Cancer Research, having authored 29 papers that have together received 477 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (8 papers), Computational Drug Discovery Methods (5 papers), Bone health and treatments (5 papers), Bone health and osteoporosis research (2 papers), Natural product bioactivities and synthesis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Biological Activity of Diterpenoids and Biflavonoids (2 papers). The work is most often cited by research in Pharmacology (66 citations), Pharmacology (87 citations), Molecular Biology (287 citations), Computational Theory and Mathematics (62 citations) and Cancer Research (51 citations). Dane Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Xu, Qiong Gu, Dake Cai, Haining Gan, Nan Yao, Ge Hu, Zhihong Liu, Chao Zhao, Xiaohui Zeng and Yuxing Chen. Their work appears in journals such as Bioorganic Chemistry, Journal of Medicinal Chemistry, RSC Advances, Oncology Reports and Journal of Chemical Information and Modeling.
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.