Minsheng Hao
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
Papers in
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- Single-cell and spatial transcriptomics 12
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 1
- Pluripotent Stem Cells Research 1
-
- Cell Image Analysis Techniques 3
- Co-authors
- Xuegong Zhang (10 shared papers)Kui Hua (1 shared paper)Yucheng Guo (1 shared paper)Jing Gong (1 shared paper)Xin Zeng (1 shared paper)Jianzhu Ma (1 shared paper)Xingyi Cheng (1 shared paper)Taifeng Wang (1 shared paper)
- Journals
- Quantitative Biology (2 papers)Bioinformatics (2 papers)Genome Research (1 paper)Briefings in Bioinformatics (1 paper)Nature Methods (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Minsheng Hao
9 papers receiving 329 citations
Minsheng Hao's Hit Papers
Peers
Comparison fields: 5 of 47
- Biophysics 71
- Molecular Biology 258
- Cancer Research 29
- Health Informatics 2
- Immunology 20
Countries citing papers authored by Minsheng Hao
This map shows the geographic impact of Minsheng Hao'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 Minsheng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minsheng Hao more than expected).
Fields of papers citing papers by Minsheng Hao
This network shows the impact of papers produced by Minsheng Hao. 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 Minsheng Hao. The network helps show where Minsheng Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Minsheng Hao, 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 | Large-scale foundation model on single-cell transcriptomics Hit paper breakdown → | 2024 | 191 |
| 2 | 2021 | 66 | |
| 3 | 2023 | 35 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2026 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 |
About Minsheng Hao
Minsheng Hao is a scholar working on Molecular Biology, Biophysics, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Immunology, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Cell Image Analysis Techniques (3 papers), Molecular Biology Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biophysics (71 citations), Molecular Biology (258 citations), Cancer Research (29 citations), Health Informatics (2 citations) and Immunology (20 citations). Minsheng Hao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuegong Zhang, Kui Hua, Yucheng Guo, Jing Gong, Xin Zeng, Jianzhu Ma, Xingyi Cheng, Taifeng Wang, Chi-Ming Liu and Le Song. Their work appears in journals such as Quantitative Biology, Bioinformatics, Genome Research, Briefings in Bioinformatics and Nature Methods.
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.