Yichen Si
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Advanced biosensing and bioanalysis techniques
Papers in
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- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 1
- Molecular Biology Techniques and Applications 1
- Advanced Biosensing Techniques and Applications 1
- Surgery 1
- Co-authors
- Goo Jun (4 shared papers)Chun‐Seok Cho (4 shared papers)Hyun Min Kang (5 shared papers)Jun Hee Lee (5 shared papers)Jingyue Xi (2 shared papers)Myungjin Kim (3 shared papers)Jer-En Hsu (2 shared papers)Sebastian Zöllner (2 shared papers)
- Journals
- Nature Methods (1 paper)Trends in Genetics (1 paper)JCI Insight (1 paper)Nature Protocols (1 paper)Genetics (1 paper)
- Partner nations
- United StatesCyprusSouth Korea
In The Last Decade
Yichen Si
6 papers receiving 337 citations
Yichen Si's Hit Papers
Peers
Comparison fields: 5 of 53
- Biophysics 41
- Molecular Biology 299
- Cancer Research 54
- Immunology 70
- Health, Toxicology and Mutagenesis 15
Countries citing papers authored by Yichen Si
This map shows the geographic impact of Yichen Si'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 Yichen Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Si more than expected).
Fields of papers citing papers by Yichen Si
This network shows the impact of papers produced by Yichen Si. 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 Yichen Si. The network helps show where Yichen Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Si, 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 | Microscopic examination of spatial transcriptome using Seq-Scope Hit paper breakdown → | 2021 | 305 |
| 2 | 2024 | 14 | |
| 3 | 2021 | 10 | |
| 4 | 2024 | 8 | |
| 5 | 2025 | 4 | |
| 6 | 2025 | 2 |
About Yichen Si
Yichen Si is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Genetics, having authored 6 papers that have together received 343 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Aortic Disease and Treatment Approaches (1 paper), Genetic Associations and Epidemiology (1 paper), RNA Research and Splicing (1 paper), Genomics and Rare Diseases (1 paper), Molecular Biology Techniques and Applications (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Biophysics (41 citations), Molecular Biology (299 citations), Cancer Research (54 citations), Immunology (70 citations) and Health, Toxicology and Mutagenesis (15 citations). Yichen Si has collaborated with scholars based in United States, Cyprus and South Korea. Frequent co-authors include Goo Jun, Chun‐Seok Cho, Hyun Min Kang, Jun Hee Lee, Jingyue Xi, Myungjin Kim, Jer-En Hsu, Sebastian Zöllner, Brett Vanderwerff and Weiqiu Cheng. Their work appears in journals such as Nature Methods, Trends in Genetics, JCI Insight, Nature Protocols and Genetics.
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.