Hongyu Shi

1.3k total citations
11 papers, 71 citations indexed

About

Hongyu Shi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Hongyu Shi has authored 11 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Hongyu Shi's work include Single-cell and spatial transcriptomics (6 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (2 papers). Hongyu Shi is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (2 papers). Hongyu Shi collaborates with scholars based in China, United States and Canada. Hongyu Shi's co-authors include Kaichen Song, Wei Chen, Yufei Gao, Weiwei Yin, Junwei Liu, Tongtong Zhang, Junjie Zhao, Yuan Chen, Xun Zeng and Guocan Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Bioinformatics.

In The Last Decade

Hongyu Shi

11 papers receiving 71 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongyu Shi China 5 43 19 14 14 9 11 71
Zhenkun Zhuang China 4 43 1.0× 21 1.1× 15 1.1× 18 1.3× 6 0.7× 13 76
Sarah M. Shin United States 4 28 0.7× 36 1.9× 24 1.7× 17 1.2× 5 0.6× 11 73
Alexei Hernandez United States 5 30 0.7× 40 2.1× 25 1.8× 18 1.3× 5 0.6× 12 78
Camilla Calandrini Netherlands 4 37 0.9× 26 1.4× 7 0.5× 7 0.5× 23 2.6× 5 69
Jin‐Gyu Cheong United States 5 47 1.1× 20 1.1× 24 1.7× 18 1.3× 7 0.8× 8 92
Jinxia Bao China 4 25 0.6× 37 1.9× 21 1.5× 17 1.2× 12 1.3× 5 71
Pamela Whalen United States 5 38 0.9× 13 0.7× 17 1.2× 6 0.4× 7 0.8× 7 64
Huiying Sun China 3 23 0.5× 17 0.9× 8 0.6× 16 1.1× 5 0.6× 5 61
Mengbiao Guo China 6 51 1.2× 12 0.6× 31 2.2× 29 2.1× 2 0.2× 19 101
K. Knox United Kingdom 3 49 1.1× 15 0.8× 13 0.9× 37 2.6× 6 0.7× 5 112

Countries citing papers authored by Hongyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hongyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Shi

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

All Works

11 of 11 papers shown
1.
Xiao, Guohui, Houming Liu, Hui Xu, et al.. (2025). Direct detection from sputum for drug-resistant Mycobacterium tuberculosis using a CRISPR-Cas14a-based approach. BMC Microbiology. 25(1). 188–188. 4 indexed citations
2.
Jiang, Pan, Zilong Liu, Hongyu Shi, et al.. (2025). Single-cell characterization of the immune heterogeneity of pulmonary hypertension identifies novel targets for immunotherapy. BMC Immunology. 26(1). 5–5. 3 indexed citations
3.
Xiao, Guohui, Hongyu Shi, Meixia Liu, et al.. (2025). Trans-cleavage activity of Cas12a effectors can be unleashed by both double-stranded DNA and single-stranded RNA targeting in absence of PAM. International Journal of Biological Macromolecules. 309(Pt 4). 142992–142992. 1 indexed citations
4.
Williams, Marc, Hongyu Shi, Ignacio Vázquez-Garćıa, et al.. (2024). Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data. Nature Communications. 15(1). 8512–8512. 3 indexed citations
5.
Shi, Hongyu, et al.. (2024). Allele-specific transcriptional effects of subclonal copy number alterations enable genotype-phenotype mapping in cancer cells. Nature Communications. 15(1). 2482–2482. 2 indexed citations
6.
Chen, Yuan, Guocan Wang, Ping Wang, et al.. (2022). Metal‐Chelatable Porphyrinic Frameworks for Single‐Cell Multiplexing with Mass Cytometry. Angewandte Chemie. 134(38). 1 indexed citations
7.
Chen, Yuan, Guocan Wang, Ping Wang, et al.. (2022). Metal‐Chelatable Porphyrinic Frameworks for Single‐Cell Multiplexing with Mass Cytometry. Angewandte Chemie International Edition. 61(38). e202208640–e202208640. 13 indexed citations
8.
Liu, Junwei, Tongtong Zhang, Yufei Gao, et al.. (2021). Applications of Single-Cell Omics in Tumor Immunology. Frontiers in Immunology. 12. 697412–697412. 31 indexed citations
9.
Kemeny, Nancy E., Joanne F. Chou, Marinela Capanu, et al.. (2021). A Randomized Phase II Trial of Adjuvant Hepatic Arterial Infusion and Systemic Therapy With or Without Panitumumab After Hepatic Resection of KRAS Wild-type Colorectal Cancer. Annals of Surgery. 274(2). 248–254. 7 indexed citations
10.
Liu, Junwei, Lulu Liu, Tongtong Zhang, et al.. (2021). GdClean: removal of Gadolinium contamination in mass cytometry data. Bioinformatics. 37(24). 4787–4792. 1 indexed citations
11.
Wang, Yaping, Xinlu Zhang, Hai Zhu, et al.. (2020). Higher T cell immunoglobulin mucin-3 (Tim-3) expression in cervical cancer is associated with a satisfactory prognosis. Translational Cancer Research. 9(4). 2801–2813. 5 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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