Yifeng Yin
- Biophysics top 5%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 5
- Genomics and Phylogenetic Studies 2
- Chemical Synthesis and Analysis 1
- Ecology top 10%
- Pollution top 10%
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- Bacterial Genetics and Biotechnology 2
- Genetic Associations and Epidemiology 1
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- Cancer Genomics and Diagnostics 2
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- Innovative Microfluidic and Catalytic Techniques Innovation 1
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 1
- Co-authors
- Stephen R. WilliamsNikhil RaoMadhavi TippaniThomas M. HydeMatthew N. TranBrianna K. BarryCedric R. UytingcoKristen R. Maynard
- Cited by
- BiophysicsMolecular BiologyNeurology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yifeng Yin
17 papers receiving 971 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Biophysics 81
- Molecular Biology 723
- Neurology 58
- Ecology 167
- Pollution 71
Countries citing papers authored by Yifeng Yin
This map shows the geographic impact of Yifeng Yin'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 Yifeng Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifeng Yin more than expected).
Fields of papers citing papers by Yifeng Yin
This network shows the impact of papers produced by Yifeng Yin. 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 Yifeng Yin. The network helps show where Yifeng Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yifeng Yin, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortexbreakdown → | 2021 | 557 |
| 7 | 2021 | 8 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 2 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2010 | 243 | |
| 17 | 2007 | 35 | |
| 18 | 2003 | 24 | |
| 19 | 2001 | 28 |
About Yifeng Yin
Yifeng Yin is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 19 papers that have together received 985 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Genomics and Phylogenetic Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Cancer Genomics and Diagnostics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Chemical Synthesis and Analysis (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Biophysics (81 citations), Molecular Biology (723 citations) and Neurology (58 citations). Yifeng Yin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stephen R. Williams, Nikhil Rao, Madhavi Tippani, Thomas M. Hyde, Matthew N. Tran, Brianna K. Barry, Cedric R. Uytingco, Kristen R. Maynard, Stephanie C. Hicks and Jennifer Chew. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.