Weichen Song
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Bioinformatics and Genomic Networks 7
- Single-cell and spatial transcriptomics 5
- Epigenetics and DNA Methylation 3
- Genetics 10
- Genetic Associations and Epidemiology 7
- Co-authors
- Guan Ning Lin (28 shared papers)Shunying Yu (12 shared papers)Xiao Liu (1 shared paper)Ting Zhang (1 shared paper)Xianting Ding (1 shared paper)Brandon Wong (1 shared paper)Weidi Wang (12 shared papers)Wei‐Qiang Gao (3 shared papers)
- Journals
- Genes (3 papers)Genomics (2 papers)Remote Sensing (2 papers)Psychiatry Research (2 papers)Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weichen Song
38 papers receiving 527 citations
Peers
Comparison fields: 5 of 102
- Biological Psychiatry 30
- Biophysics 41
- Cancer Research 52
- Molecular Biology 239
- Behavioral Neuroscience 10
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2021 | 84 | |
| 3 | 2021 | 27 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Weichen Song
Weichen Song is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cancer Research, having authored 42 papers that have together received 530 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (7 papers), Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers), Advanced Memory and Neural Computing (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Biophysics (41 citations), Cancer Research (52 citations), Molecular Biology (239 citations) and Behavioral Neuroscience (10 citations). Weichen Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guan Ning Lin, Shunying Yu, Xiao Liu, Ting Zhang, Xianting Ding, Brandon Wong, Weidi Wang, Wei‐Qiang Gao, Huadong Lai and Jia Wang. Their work appears in journals such as Genes, Genomics, Remote Sensing, Psychiatry Research and 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.