Simin Song
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Genomics and Phylogenetic Studies 2
- Plant Gene Expression Analysis 2
- Co-authors
- Rongrong Zhu (5 shared papers)Ruiqi Huang (6 shared papers)Yanjing Zhu (5 shared papers)Qian Cheng (2 shared papers)Zhourui Wu (1 shared paper)Lijuan Lin (2 shared papers)Jiayu Zhou (3 shared papers)Liming Cheng (1 shared paper)
- Journals
- ACS Chemical Neuroscience (1 paper)Acta Neuropathologica Communications (1 paper)International Journal of Biological Macromolecules (1 paper)Nature Communications (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaSouth KoreaSingapore
In The Last Decade
Simin Song
13 papers receiving 335 citations
Peers
Comparison fields: 5 of 103
- Biophysics 28
- Developmental Neuroscience 17
- Health Informatics 5
- Molecular Medicine 12
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Simin Song
This map shows the geographic impact of Simin 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 Simin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Song more than expected).
Fields of papers citing papers by Simin Song
This network shows the impact of papers produced by Simin 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 Simin Song. The network helps show where Simin Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 169 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 15 | |
| 8 | 2024 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Simin Song
Simin Song is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Physiology and Developmental Neuroscience, having authored 16 papers that have together received 336 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Plant Gene Expression Analysis (2 papers), Spinal Cord Injury Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Horticultural and Viticultural Research (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cell Image Analysis Techniques (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biophysics (28 citations), Developmental Neuroscience (17 citations), Health Informatics (5 citations), Molecular Medicine (12 citations) and Cellular and Molecular Neuroscience (39 citations). Simin Song has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Rongrong Zhu, Ruiqi Huang, Yanjing Zhu, Qian Cheng, Zhourui Wu, Lijuan Lin, Jiayu Zhou, Liming Cheng, Anqi Chen and Hai Liao. Their work appears in journals such as ACS Chemical Neuroscience, Acta Neuropathologica Communications, International Journal of Biological Macromolecules, Nature Communications and Frontiers in Plant Science.
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.