Huize Pan
Impact in
- Aging top 10%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 3
- Circular RNAs in diseases 2
-
- Atherosclerosis and Cardiovascular Diseases 3
- Phagocytosis and Immune Regulation 3
- Immune cells in cancer 2
- Co-authors
- Muredach P. Reilly (6 shared papers)Guang‐Hui Liu (5 shared papers)Mingyao Li (3 shared papers)Xiangjie Li (2 shared papers)Gang Hu (2 shared papers)Dwight Stambolian (1 shared paper)Jingxiao Zhang (1 shared paper)Kui Wang (1 shared paper)
- Journals
- Protein & Cell (2 papers)Nature Communications (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Nature Medicine (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Huize Pan
14 papers receiving 645 citations
Huize Pan's Hit Papers
Peers
Comparison fields: 5 of 82
- Aging 25
- Biophysics 75
- Molecular Biology 500
- Cancer Research 106
- Immunology 88
Countries citing papers authored by Huize Pan
This map shows the geographic impact of Huize Pan'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 Huize Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huize Pan more than expected).
Fields of papers citing papers by Huize Pan
This network shows the impact of papers produced by Huize Pan. 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 Huize Pan. The network helps show where Huize Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Huize Pan, 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 | Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis Hit paper breakdown → | 2020 | 264 |
| 2 | 2013 | 118 | |
| 3 | 2020 | 95 | |
| 4 | 2021 | 46 | |
| 5 | 2024 | 44 | |
| 6 | 2013 | 29 | |
| 7 | 2019 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 1 | |
| 13 | Aging of human mature erythrocytes is like a process of apoptosis in enucleated cell. | 1998 | 1 |
| 14 | 2018 | 1 |
About Huize Pan
Huize Pan is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Cancer Research and Surgery, having authored 14 papers that have together received 654 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Phagocytosis and Immune Regulation (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), Circular RNAs in diseases (2 papers), Immune cells in cancer (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Aging (25 citations), Biophysics (75 citations), Molecular Biology (500 citations), Cancer Research (106 citations) and Immunology (88 citations). Huize Pan has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Muredach P. Reilly, Guang‐Hui Liu, Mingyao Li, Xiangjie Li, Gang Hu, Dwight Stambolian, Jingxiao Zhang, Kui Wang, Katalin Suszták and Yafei Lyu. Their work appears in journals such as Protein & Cell, Nature Communications, Arteriosclerosis Thrombosis and Vascular Biology, Nature Medicine and Circulation 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.