Huize Pan

2.6k total citations · 1 hit paper
14 papers, 654 citations indexed

About

Huize Pan is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Huize Pan has authored 14 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Huize Pan's work include Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (3 papers) and Phagocytosis and Immune Regulation (3 papers). Huize Pan is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (3 papers) and Phagocytosis and Immune Regulation (3 papers). Huize Pan collaborates with scholars based in United States, China and Sweden. Huize Pan's co-authors include Muredach P. Reilly, Guang‐Hui Liu, Mingyao Li, Xiangjie Li, Gang Hu, Kui Wang, Yafei Lyu, Katalin Suszták, Jingxiao Zhang and Dwight Stambolian and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Huize Pan

14 papers receiving 645 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis

2020 264 citations Xiangjie Li, Kui Wang et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Huize Pan United States	10	500	106	89	88	75	14	654
Yelena Dayn United States	6	647 1.3×	87 0.8×	103 1.2×	40 0.5×	29 0.4×	6	808
Elizabeth Tuck United Kingdom	8	682 1.4×	107 1.0×	50 0.6×	215 2.4×	87 1.2×	10	908
Yuqi Tan United States	15	539 1.1×	120 1.1×	49 0.6×	77 0.9×	115 1.5×	33	819
Yusuke Koga United States	11	384 0.8×	138 1.3×	47 0.5×	109 1.2×	27 0.4×	24	677
Zhuoqing Fang United States	10	396 0.8×	73 0.7×	44 0.5×	102 1.2×	21 0.3×	24	657
Agne Frismantiene Switzerland	10	255 0.5×	101 1.0×	41 0.5×	85 1.0×	17 0.2×	12	499
Ricardo O. Ramirez Flores Germany	11	758 1.5×	147 1.4×	52 0.6×	250 2.8×	106 1.4×	17	1.1k
Daniela Amann‐Zalcenstein Australia	13	941 1.9×	123 1.2×	48 0.5×	272 3.1×	56 0.7×	19	1.3k
Michaela Asp Sweden	6	1.0k 2.1×	205 1.9×	56 0.6×	225 2.6×	164 2.2×	8	1.2k
Kristina M. Garske United States	10	384 0.8×	121 1.1×	97 1.1×	57 0.6×	18 0.2×	14	596

Countries citing papers authored by Huize Pan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Huize Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Huize Pan. A scholar is included among the top collaborators of Huize Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huize Pan. Huize Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Gao, Yuanfeng, Ying Dong, Nan Jiang, et al.. (2025). Atrial remodelling and atrial fibrillation self-sustaining: the role of circulating circDGCR8. Cardiovascular Research. 121(7). 1036–1051. 2 indexed citations

2.

Pan, Huize, Chenyi Xue, Jian Cui, et al.. (2024). Atherosclerosis Is a Smooth Muscle Cell–Driven Tumor-Like Disease. Circulation. 149(24). 1885–1898. 44 indexed citations

3.

Bashore, Alexander C., Chenyi Xue, Eunyoung Kim, et al.. (2024). Monocyte Single-Cell Multimodal Profiling in Cardiovascular Disease Risk States. Circulation Research. 135(6). 685–700. 9 indexed citations

4.

Liu, Fei‐Fei, Yi Lü, Xuebao Wang, et al.. (2023). Identification of FOXO1 as a geroprotector in human synovium through single-nucleus transcriptomic profiling. Protein & Cell. 15(6). 441–459. 10 indexed citations

5.

Bashore, Alexander C., Huize Pan, Chenyi Xue, et al.. (2023). Abstract 212: Transcriptional Profiling Of Vascular Smooth Muscle Cell-foam Cells In Atherosclerotic Lesions. Arteriosclerosis Thrombosis and Vascular Biology. 43(Suppl_1). 1 indexed citations

6.

Wang, David, Yuanchao Zhang, Gang Hu, et al.. (2021). A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics. Genome Research. 31(10). 1753–1766. 46 indexed citations

7.

Zhang, Weiqi, Shu Zhang, Pengze Yan, et al.. (2020). A single-cell transcriptomic landscape of primate arterial aging. Nature Communications. 11(1). 2202–2202. 95 indexed citations

8.

Li, Xiangjie, Kui Wang, Yafei Lyu, et al.. (2020). Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis. Nature Communications. 11(1). 2338–2338. 264 indexed citations breakdown →

9.

Pan, Huize & Muredach P. Reilly. (2019). A protective smooth muscle cell transition in atherosclerosis. Nature Medicine. 25(8). 1194–1195. 17 indexed citations

10.

Shi, Jianting, Huize Pan, Ira Tabas, & Hanrui Zhang. (2018). Abstract 637: Genome-wide Crispr Screen in Primary Macrophages for Identification of a Regulatory Network for Macrophage Efferocytosis. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations

11.

Xu, Xiuling, Fei Yi, Huize Pan, et al.. (2013). Progress and prospects in stem cell therapy. Acta Pharmacologica Sinica. 34(6). 741–746. 29 indexed citations

12.

Pan, Huize, Ning Cai, Mo Li, Guang‐Hui Liu, & Juan Carlos Izpisúa Belmonte. (2013). Autophagic control of cell ‘stemness’. EMBO Molecular Medicine. 5(3). 327–331. 118 indexed citations

13.

Pan, Huize, Weiqi Zhang, Weizhou Zhang, & Guang‐Hui Liu. (2011). Find and replace: editing human genome in pluripotent stem cells. Protein & Cell. 2(12). 950–956. 17 indexed citations

14.

Pan, Huize, et al.. (1998). Aging of human mature erythrocytes is like a process of apoptosis in enucleated cell.. PubMed. 13(1). 20–3. 1 indexed citations

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.

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