Qichao Yu

1.6k total citations
9 papers, 110 citations indexed

About

Qichao Yu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Qichao Yu has authored 9 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Qichao Yu's work include Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Qichao Yu is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Qichao Yu collaborates with scholars based in China, Denmark and United States. Qichao Yu's co-authors include Liang Wu, Miaomiao Jiang, Shiping Liu, Yong Hou, Guibo Li, Xuanxuan Zou, Yanhui Wang, Xin Zhao, Bo Li and Rui Li and has published in prestigious journals such as Scientific Reports, Human Molecular Genetics and Frontiers in Oncology.

In The Last Decade

Qichao Yu

9 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qichao Yu China	7	71	30	29	27	11	9	110
Bohan Dong China	8	72 1.0×	27 0.9×	25 0.9×	39 1.4×	18 1.6×	12	128
Hoa Giang Vietnam	7	99 1.4×	30 1.0×	32 1.1×	33 1.2×	7 0.6×	30	166
Jan Kosla Czechia	9	107 1.5×	21 0.7×	30 1.0×	19 0.7×	19 1.7×	13	175
Daoud Sheban Israel	5	105 1.5×	26 0.9×	31 1.1×	14 0.5×	6 0.5×	6	145
Ciyue Shen United States	5	135 1.9×	18 0.6×	19 0.7×	25 0.9×	8 0.7×	6	194
Geronimo Dubra France	3	53 0.7×	11 0.4×	24 0.8×	11 0.4×	8 0.7×	3	102
Suet Ling Felce United Kingdom	7	83 1.2×	14 0.5×	36 1.2×	43 1.6×	5 0.5×	7	135
Christel M. Davis United States	7	152 2.1×	30 1.0×	26 0.9×	12 0.4×	18 1.6×	12	203
Ipsita Dey‐Guha United States	6	130 1.8×	57 1.9×	94 3.2×	29 1.1×	12 1.1×	9	200
Yuxuan Che United States	7	59 0.8×	17 0.6×	77 2.7×	40 1.5×	10 0.9×	26	151

Countries citing papers authored by Qichao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Qichao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qichao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qichao Yu. A scholar is included among the top collaborators of Qichao Yu 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 Qichao Yu. Qichao Yu 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.

Yan, Jiayan, Shiyu Zhang, Qichao Yu, et al.. (2025). Spatial‒temporal heterogeneities of liver cancer and the discovery of the invasive zone. Clinical and Translational Medicine. 15(2). e70224–e70224. 2 indexed citations

2.

Huang, Ke, Zeyu Li, Qichao Yu, et al.. (2025). Inferring cell trajectories of spatial transcriptomics via optimal transport analysis. Cell Systems. 16(2). 101194–101194. 6 indexed citations

3.

Yan, Jia, Qichao Yu, Lan Lin, et al.. (2024). Deciphering complex antibiotic resistance patterns in Helicobacter pylori through whole genome sequencing and machine learning. Frontiers in Cellular and Infection Microbiology. 13. 1306368–1306368. 7 indexed citations

4.

Zhang, Yuanhang, Xiaorui Zhou, Yu Zhong, et al.. (2023). Pan-cancer scRNA-seq analysis reveals immunological and diagnostic significance of the peripheral blood mononuclear cells. Human Molecular Genetics. 33(4). 342–354. 6 indexed citations

5.

Xu, Liqin, Yuxiang Ma, Chao Fang, et al.. (2022). Genomic and microbial factors affect the prognosis of anti-pd-1 immunotherapy in nasopharyngeal carcinoma. Frontiers in Oncology. 12. 953884–953884. 11 indexed citations

6.

Yu, Qichao, Miaomiao Jiang, & Liang Wu. (2022). Spatial transcriptomics technology in cancer research. Frontiers in Oncology. 12. 1019111–1019111. 47 indexed citations

7.

Wang, Shanshan, Jiarui Xie, Xuanxuan Zou, et al.. (2022). Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines. iScience. 25(3). 103857–103857. 19 indexed citations

8.

Sun, Yan, Qichao Yu, Lei Li, et al.. (2020). Single-cell RNA profiling links ncRNAs to spatiotemporal gene expression during C. elegans embryogenesis. Scientific Reports. 10(1). 18863–18863. 3 indexed citations

9.

Yu, Qichao, Wei Zhang, Xiaolong Zhang, et al.. (2017). Population-wide sampling of retrotransposon insertion polymorphisms using deep sequencing and efficient detection. GigaScience. 6(9). 1–11. 9 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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