Dan Song
Impact in
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- Pharmacological Effects of Natural Compounds
- Fungal Biology and Applications
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- Urban Heat Island Mitigation
Papers in
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- Genomics and Phylogenetic Studies 2
- Genetics 6
- Genetic diversity and population structure 2
- High Altitude and Hypoxia 2
- Co-authors
- Lifang Zhang (1 shared paper)Zhu L. Yang (1 shared paper)Xing Jin (4 shared papers)Xing Shi (3 shared papers)Xin Zhou (3 shared papers)Pengpeng Liu (1 shared paper)Jincai Lu (1 shared paper)Fang Li (1 shared paper)
- Journals
- Dose-Response (3 papers)Urban Climate (2 papers)BMC Complementary Medicine and Therapies (2 papers)Microbiology (1 paper)Immunologic Research (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Dan Song
18 papers receiving 148 citations
Peers
Comparison fields: 5 of 65
- Pharmacology 25
- Environmental Engineering 36
- Health, Toxicology and Mutagenesis 26
- Cell Biology 26
- Pharmacology 24
Countries citing papers authored by Dan Song
This map shows the geographic impact of Dan Song'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 Dan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Song more than expected).
Fields of papers citing papers by Dan Song
This network shows the impact of papers produced by Dan Song. 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 Dan Song. The network helps show where Dan Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Song, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 37 | |
| 2 | 2016 | 36 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 12 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2021 | 0 | |
| 20 | 2025 | 0 |
About Dan Song
Dan Song is a scholar working on Molecular Biology, Genetics, Environmental Engineering, Immunology and Health, Toxicology and Mutagenesis, having authored 22 papers that have together received 152 indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (4 papers), Immune Response and Inflammation (3 papers), Urban Green Space and Health (2 papers), Genomics and Phylogenetic Studies (2 papers), Building Energy and Comfort Optimization (2 papers), Genetic diversity and population structure (2 papers), High Altitude and Hypoxia (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Pharmacology (25 citations), Environmental Engineering (36 citations), Health, Toxicology and Mutagenesis (26 citations), Cell Biology (26 citations) and Pharmacology (24 citations). Dan Song has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Lifang Zhang, Zhu L. Yang, Xing Jin, Xing Shi, Xin Zhou, Pengpeng Liu, Jincai Lu, Fang Li, Qiao Li and Chongning Lv. Their work appears in journals such as Dose-Response, Urban Climate, BMC Complementary Medicine and Therapies, Microbiology and Immunologic Research.
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.