Weichen Song
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
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- Single-cell and spatial transcriptomics
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 10
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- Schizophrenia research and treatment 5
- Co-authors
- Guan Ning Lin (30 shared papers)Shunying Yu (13 shared papers)Ting Zhang (1 shared paper)Xiao Liu (1 shared paper)Brandon Y. Wong (1 shared paper)Xianting Ding (1 shared paper)Weidi Wang (13 shared papers)Wenqin Luo (4 shared papers)
- Journals
- Genes (3 papers)Psychiatry and Clinical Neurosciences (2 papers)Research (2 papers)Cell & Bioscience (2 papers)Genomics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weichen Song
42 papers receiving 806 citations
Peers
Comparison fields: 5 of 97
- Neurology 134
- Molecular Biology 242
- Biological Psychiatry 5
- Developmental Neuroscience 11
- Cancer Research 42
Countries citing papers authored by Weichen Song
This map shows the geographic impact of Weichen 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 Weichen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Song more than expected).
Fields of papers citing papers by Weichen Song
This network shows the impact of papers produced by Weichen 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 Weichen Song. The network helps show where Weichen Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 190 | |
| 2 | 2019 | 127 | |
| 3 | 2021 | 101 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 25 | |
| 9 | 2024 | 22 | |
| 10 | 2019 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2021 | 10 |
About Weichen Song
Weichen Song is a scholar working on Genetics, Psychiatry and Mental health, Molecular Biology, Developmental Neuroscience and Cancer Research, having authored 46 papers that have together received 821 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Schizophrenia research and treatment (5 papers), Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (4 papers), Remote Sensing in Agriculture (3 papers), MicroRNA in disease regulation (3 papers), Remote-Sensing Image Classification (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Neurology (134 citations), Molecular Biology (242 citations), Biological Psychiatry (5 citations), Developmental Neuroscience (11 citations) and Cancer Research (42 citations). Weichen Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guan Ning Lin, Shunying Yu, Ting Zhang, Xiao Liu, Brandon Y. Wong, Xianting Ding, Weidi Wang, Wenqin Luo, Xiaomu Cheng and Jia Wang. Their work appears in journals such as Genes, Psychiatry and Clinical Neurosciences, Research, Cell & Bioscience and Genomics.
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.