Hao Yin

11.7k total citations · 5 hit papers
107 papers, 7.1k citations indexed

About

Hao Yin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hao Yin has authored 107 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Cancer Research. Recurrent topics in Hao Yin's work include CRISPR and Genetic Engineering (33 papers), RNA Interference and Gene Delivery (19 papers) and RNA and protein synthesis mechanisms (11 papers). Hao Yin is often cited by papers focused on CRISPR and Genetic Engineering (33 papers), RNA Interference and Gene Delivery (19 papers) and RNA and protein synthesis mechanisms (11 papers). Hao Yin collaborates with scholars based in China, United States and Russia. Hao Yin's co-authors include Daniel G. Anderson, Ahmed A. Eltoukhy, J. Robert Dorkin, Rosemary Kanasty, Arturo J. Vegas, Wen Xue, Kevin Kauffman, Cynthia Ju, Hongxia Zhang and Qiubing Chen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hao Yin

99 papers receiving 7.0k citations

Hit Papers

Non-viral vectors for gen... 2014 2026 2018 2022 2014 2014 2017 2022 2024 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Yin China 36 5.8k 1.5k 730 568 532 107 7.1k
René Maehr United States 31 5.7k 1.0× 1.0k 0.7× 616 0.8× 468 0.8× 806 1.5× 53 7.2k
Sang‐Kyung Lee South Korea 23 3.3k 0.6× 824 0.5× 189 0.3× 215 0.4× 505 0.9× 49 4.1k
Gerald Schwank Switzerland 25 3.2k 0.6× 889 0.6× 962 1.3× 1.4k 2.5× 217 0.4× 47 4.9k
Fuminori Sakurai Japan 39 3.5k 0.6× 2.0k 1.3× 692 0.9× 850 1.5× 539 1.0× 182 5.2k
Nobuo Sasaki Japan 26 3.4k 0.6× 943 0.6× 869 1.2× 1.8k 3.2× 425 0.8× 59 5.9k
Vishal Thapar United States 14 3.4k 0.6× 541 0.4× 363 0.5× 607 1.1× 375 0.7× 23 4.2k
Jeffrey M. Beekman Netherlands 34 2.6k 0.4× 761 0.5× 930 1.3× 1.0k 1.8× 626 1.2× 114 6.0k
Mo Li China 36 3.2k 0.5× 508 0.3× 561 0.8× 311 0.5× 238 0.4× 160 4.7k
Marinee Chuah Belgium 43 3.9k 0.7× 2.7k 1.8× 284 0.4× 1.2k 2.1× 505 0.9× 114 5.6k
Thierry VandenDriessche Belgium 43 3.9k 0.7× 2.8k 1.8× 290 0.4× 1.2k 2.1× 529 1.0× 124 5.7k

Countries citing papers authored by Hao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yin

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

All Works

20 of 20 papers shown
1.
Yu, Zhong, Jiangxiong Zhu, Bifen Zhu, et al.. (2025). Recent advances in the structure and immunomodulatory activity of food-derived glycoprotein complex. Journal of Future Foods. 5(6). 542–550. 1 indexed citations
2.
Zhang, Yuelin, et al.. (2025). Loop engineering of AtCas9 for effective and broad genome editing. PubMed. 4(6). 100286–100286.
3.
Hu, Xiaoqu, et al.. (2024). A Bioinspired Immunostimulatory System for Inducing Powerful Antitumor Immune Function by Directly Causing Plasma Membrane Rupture. Advanced Science. 11(20). e2305934–e2305934. 5 indexed citations
4.
Yin, Hao, Xiaoqu Hu, Wenting Zhu, et al.. (2024). Pyroptosis‐Inducing Biomaterials Pave the Way for Transformative Antitumor Immunotherapy. Advanced Science. 11(47). e2410336–e2410336. 8 indexed citations
5.
Yin, Hao, Xiaoqu Hu, Yida Li, et al.. (2024). A T‐Cell Inspired Sonoporation System Enhances Low‐Dose X‐Ray‐Mediated Pyroptosis and Radioimmunotherapy Efficacy by Restoring Gasdermin‐E Expression. Advanced Materials. 36(26). e2401384–e2401384. 9 indexed citations
6.
Cao, Guohua, Weiqiang Zhao, Pan Gao, et al.. (2024). Epitope prime editing shields hematopoietic cells from CD123 immunotherapy for acute myeloid leukemia. Cell stem cell. 31(11). 1650–1666.e8. 9 indexed citations
8.
Yin, Hao, et al.. (2023). A cytotoxic T cell inspired oncolytic nanosystem promotes lytic cell death by lipid peroxidation and elicits antitumor immune responses. Nature Communications. 14(1). 5456–5456. 15 indexed citations
9.
Liu, Xingyu, Wei Xiong, Qianqian Qi, et al.. (2022). Rational guide RNA engineering for small-molecule control of CRISPR/Cas9 and gene editing. Nucleic Acids Research. 50(8). 4769–4783. 12 indexed citations
10.
Wang, Jinlin, Guoquan Wang, Ruiwen Zhang, et al.. (2022). Efficient targeted insertion of large DNA fragments without DNA donors. Nature Methods. 19(3). 331–340. 113 indexed citations
11.
Lu, Shuhan, Ying Zhang, & Hao Yin. (2020). Chimeric DNA–RNA Guide RNA Designs. Methods in molecular biology. 2162. 79–85. 2 indexed citations
12.
Song, Chun‐Qing, Tingting Jiang, Michelle F. Richter, et al.. (2019). Adenine base editing in an adult mouse model of tyrosinaemia. Nature Biomedical Engineering. 4(1). 125–130. 138 indexed citations
13.
Song, Chun‐Qing, Yingxiang Li, Haiwei Mou, et al.. (2017). Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
14.
Song, Chun‐Qing, Yingxiang Li, Haiwei Mou, et al.. (2016). Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice. Gastroenterology. 152(5). 1161–1173.e1. 87 indexed citations
15.
Xue, Wen, Sidi Chen, Hao Yin, et al.. (2014). CRISPR-mediated direct mutation of cancer genes in the mouse liver. RePEc: Research Papers in Economics. 1 indexed citations
16.
Bogorad, Roman L., Hao Yin, Anja Zeigerer, et al.. (2014). Nanoparticle-formulated siRNA targeting integrins inhibits hepatocellular carcinoma progression in mice. RePEc: Research Papers in Economics. 2 indexed citations
17.
Yin, Hao, Rosemary Kanasty, Ahmed A. Eltoukhy, et al.. (2014). Non-viral vectors for gene-based therapy. Nature Reviews Genetics. 15(8). 541–555. 2560 indexed citations breakdown →
18.
Alabi, Christopher A., Kevin T. Love, Gaurav Sahay, et al.. (2013). Multiparametric approach for the evaluation of lipid nanoparticles for siRNA delivery. Proceedings of the National Academy of Sciences. 110(32). 12881–12886. 148 indexed citations
19.
Cheng, Linling, Qiang You, Hao Yin, et al.. (2008). Effect of polyI. Hepatology. 49(1). 215–226. 40 indexed citations
20.
Yin, Hao, et al.. (2006). A PERMIS-based authorization solution between portlets and back-end web services.

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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