D. Song
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Neuroscience and Neuropharmacology Research 10
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- Biochemical effects in animals 3
- Co-authors
- Michael H. O’Regan (15 shared papers)John W. Phillis (15 shared papers)L Guyot (6 shared papers)Inderjeet Saluja (1 shared paper)Ana Y. Estevez (1 shared paper)Fernando G. Diaz (1 shared paper)Zhongchao Wang (1 shared paper)Yuhang Zhao (1 shared paper)
- Journals
- Brain Research (5 papers)Frontiers in Neurology (2 papers)Journal of the Neurological Sciences (1 paper)Transfusion (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
D. Song
32 papers receiving 563 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 247
- Neurology 108
- Physiology 31
- Endocrine and Autonomic Systems 44
- Physiology 132
Countries citing papers authored by D. Song
This map shows the geographic impact of D. 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 D. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Song more than expected).
Fields of papers citing papers by D. Song
This network shows the impact of papers produced by D. 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 D. Song. The network helps show where D. Song may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 102 | |
| 2 | 1998 | 74 | |
| 3 | 1997 | 41 | |
| 4 | 1996 | 35 | |
| 5 | 2000 | 29 | |
| 6 | 1999 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 1996 | 26 | |
| 9 | 2016 | 24 | |
| 10 | 1995 | 23 | |
| 11 | 1997 | 22 | |
| 12 | 2016 | 20 | |
| 13 | 2000 | 19 | |
| 14 | 1999 | 18 | |
| 15 | 1999 | 16 | |
| 16 | 2000 | 13 | |
| 17 | 2017 | 11 | |
| 18 | 2000 | 10 | |
| 19 | 2014 | 8 | |
| 20 | 2024 | 7 |
About D. Song
D. Song is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Endocrine and Autonomic Systems and Neurology, having authored 36 papers that have together received 581 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Biochemical effects in animals (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Healthcare and Venom Research (2 papers), Neonatal and fetal brain pathology (2 papers), Circadian rhythm and melatonin (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (247 citations), Neurology (108 citations), Physiology (31 citations), Endocrine and Autonomic Systems (44 citations) and Physiology (132 citations). D. Song has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Michael H. O’Regan, John W. Phillis, L Guyot, Inderjeet Saluja, Ana Y. Estevez, Fernando G. Diaz, Zhongchao Wang, Yuhang Zhao, Wenjuan Zhao and Chengqian Li. Their work appears in journals such as Brain Research, Frontiers in Neurology, Journal of the Neurological Sciences, Transfusion and Journal of Pharmacology and Experimental Therapeutics.
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.