Minsheng Hao

862 total citations · 1 hit paper
10 papers, 279 citations indexed

About

Minsheng Hao is a scholar working on Molecular Biology, Biophysics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Minsheng Hao has authored 10 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Minsheng Hao's work include Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (4 papers) and Gene Regulatory Network Analysis (4 papers). Minsheng Hao is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (4 papers) and Gene Regulatory Network Analysis (4 papers). Minsheng Hao collaborates with scholars based in China, United States and Canada. Minsheng Hao's co-authors include Xuegong Zhang, Kui Hua, Le Song, Taifeng Wang, Chi-Ming Liu, Xin Zeng, Yucheng Guo, Xingyi Cheng, Jing Gong and Jianzhu Ma and has published in prestigious journals such as Bioinformatics, Nature Methods and Briefings in Bioinformatics.

In The Last Decade

Minsheng Hao

9 papers receiving 273 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.

Large-scale foundation model on single-cell transcriptomics

2024 150 citations Minsheng Hao, Jing Gong et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minsheng Hao China	7	227	72	30	23	22	10	279
Raphael Petegrosso United States	5	186 0.8×	22 0.3×	52 1.7×	34 1.5×	27 1.2×	8	262
Amogh P. Jalihal United States	4	404 1.8×	45 0.6×	28 0.9×	18 0.8×	17 0.8×	8	429
Zhuliu Li United States	5	177 0.8×	27 0.4×	45 1.5×	34 1.5×	24 1.1×	9	253
Yuansong Zeng China	6	166 0.7×	39 0.5×	39 1.3×	40 1.7×	16 0.7×	7	190
Zixiang Pan China	5	166 0.7×	24 0.3×	33 1.1×	42 1.8×	8 0.4×	6	221
Chengwei Zhong Singapore	3	270 1.2×	35 0.5×	47 1.6×	16 0.7×	35 1.6×	3	301
Hao-Chih Lee United States	7	115 0.5×	56 0.8×	12 0.4×	21 0.9×	19 0.9×	18	176
Fenglan Pang China	7	204 0.9×	34 0.5×	35 1.2×	9 0.4×	41 1.9×	9	232

Countries citing papers authored by Minsheng Hao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Minsheng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Minsheng Hao. A scholar is included among the top collaborators of Minsheng Hao 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 Minsheng Hao. Minsheng Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Hao, Minsheng, et al.. (2025). A perspective on developing foundation models for analyzing spatial transcriptomic data. Quantitative Biology. 13(4). e70010–e70010.

2.

Hao, Minsheng, Yanhong Wu, Chen Li, et al.. (2024). STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning. Communications Biology. 7(1). 56–56. 7 indexed citations

3.

Hao, Minsheng, et al.. (2024). scDiffusion: conditional generation of high-quality single-cell data using diffusion model. Bioinformatics. 40(9). 9 indexed citations

4.

Chen, Yixin, et al.. (2024). General-purpose pre-trained large cellular models for single-cell transcriptomics. National Science Review. 11(11). nwae340–nwae340. 4 indexed citations

5.

Hao, Minsheng, Jing Gong, Xin Zeng, et al.. (2024). Large-scale foundation model on single-cell transcriptomics. Nature Methods. 21(8). 1481–1491. 150 indexed citations breakdown →

6.

Hao, Minsheng, Fan Yang, Jianhua Yao, et al.. (2024). Current opinions on large cellular models. Quantitative Biology. 12(4). 433–443. 6 indexed citations

7.

Sun, Yifan, et al.. (2023). MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation. Biomedical Signal Processing and Control. 89. 105747–105747. 6 indexed citations

8.

Li, Haochen, Minsheng Hao, Wenbo Guo, et al.. (2023). Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics. Briefings in Bioinformatics. 24(6). 31 indexed citations

9.

Chen, Yixin, Minsheng Hao, Jiaqi Li, et al.. (2022). Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECA. STAR Protocols. 3(3). 101589–101589. 1 indexed citations

10.

Hao, Minsheng, Kui Hua, & Xuegong Zhang. (2021). SOMDE: a scalable method for identifying spatially variable genes with self-organizing map. Bioinformatics. 37(23). 4392–4398. 65 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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