Mingyu Yang

1.3k total citations · 1 hit paper
9 papers, 626 citations indexed

About

Mingyu Yang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mingyu Yang has authored 9 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Mingyu Yang's work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers) and Cancer Genomics and Diagnostics (2 papers). Mingyu Yang is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (3 papers) and Cancer Genomics and Diagnostics (2 papers). Mingyu Yang collaborates with scholars based in China, United States and Hong Kong. Mingyu Yang's co-authors include Yang Xiao, Rong Fan, Yanxiang Deng, Graham Su, Yang Liu, Zhiliang Bai, Dongjoo Kim, Di Zhang, Jiatong Li and Toma Tebaldi and has published in prestigious journals such as Cell, Bioinformatics and Nature Methods.

In The Last Decade

Mingyu Yang

5 papers receiving 615 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.

High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue

2020 540 citations Yang Liu, Mingyu Yang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyu Yang China	5	519	121	119	86	63	9	626
Artem Lomakin Germany	3	482 0.9×	127 1.0×	175 1.5×	80 0.9×	94 1.5×	3	606
Rasa Elmentaite United Kingdom	6	601 1.2×	127 1.0×	233 2.0×	96 1.1×	108 1.7×	7	790
Archibald Enninful United States	6	863 1.7×	196 1.6×	160 1.3×	139 1.6×	97 1.5×	8	1.0k
Alev Baysoy United States	4	391 0.8×	101 0.8×	108 0.9×	53 0.6×	141 2.2×	4	573
Lambda Moses United States	2	479 0.9×	89 0.7×	111 0.9×	81 0.9×	40 0.6×	2	554
Giovanni Palla Germany	7	645 1.2×	87 0.7×	159 1.3×	136 1.6×	58 0.9×	10	765
Takahiro Asatsuma Australia	1	310 0.6×	79 0.7×	88 0.7×	40 0.5×	54 0.9×	2	418
Helena L. Crowell Switzerland	8	394 0.8×	77 0.6×	160 1.3×	96 1.1×	66 1.0×	11	568
Anna C. Schaar Germany	3	456 0.9×	62 0.5×	128 1.1×	113 1.3×	42 0.7×	6	533

Countries citing papers authored by Mingyu Yang

Since Specialization

Citations

This map shows the geographic impact of Mingyu Yang'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 Mingyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Yang more than expected).

Fields of papers citing papers by Mingyu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingyu Yang. 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 Mingyu Yang. The network helps show where Mingyu Yang may publish in the future.

Co-authorship network of co-authors of Mingyu Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Enninful, Archibald, Mingyu Yang, Zhiliang Bai, et al.. (2026). Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus. Nature Methods.

2.

Yang, Mingyu, et al.. (2025). Integrating UPLC-Q-TOF-MS/MS, feature-based molecular networking, network pharmacology, and molecular docking to investigate the mechanism of Persicae Ramulus against myocardial ischemia. Journal of Ethnopharmacology. 357. 120899–120899.

3.

Yang, Mingyu, et al.. (2025). Utilization and Effectiveness of the PRECEDE-PROCEED Model as a Tool in Public Health Interventions: A Systematic Review. Iranian Journal of Public Health. 54(10). 2073–2088.

4.

Zhang, Liyang, Hongyuan Zhang, Mingyu Yang, et al.. (2025). Epigenomic insights into the immune regulatory mechanism of GBP4L in poultry. Poultry Science. 104(7). 105172–105172.

5.

Liu, Daizong, Mingyu Yang, Xiaoye Qu, et al.. (2025). A Survey of Attacks on Large Vision–Language Models: Resources, Advances, and Future Trends. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19525–19545. 5 indexed citations

6.

Xiao, Yong, Mengjie Zhao, Yanxiang Deng, et al.. (2022). Single-Cell Transcriptomics Revealed Subtype-Specific Tumor Immune Microenvironments in Human Glioblastomas. Frontiers in Immunology. 13. 914236–914236. 45 indexed citations

7.

Liu, Yang, Mingyu Yang, Yanxiang Deng, et al.. (2020). High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue. Cell. 183(6). 1665–1681.e18. 540 indexed citations breakdown →

8.

Liu, Yang, Mingyu Yang, Yanxiang Deng, et al.. (2019). High-Spatial-Resolution Multi-Omics Atlas Sequencing of Mouse Embryos via Deterministic Barcoding in Tissue. SSRN Electronic Journal. 9 indexed citations

9.

Tang, Zefang, et al.. (2016). GE-mini: a mobile APP for large-scale gene expression visualization. Bioinformatics. 33(6). 941–943. 27 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.

Explore authors with similar magnitude of impact