Hao Yin
- Molecular Biology top 1%
- Genetics top 1%
- Biomedical Engineering top 5%
- Oncology top 5%
- Immunology top 5%
- Co-authors
- Daniel G. AndersonAhmed A. EltoukhyJ. Robert DorkinArturo J. VegasRosemary KanastyWen XueKevin KauffmanCynthia Ju
- Topics
- CRISPR and Genetic Engineering (33 papers)RNA Interference and Gene Delivery (19 papers)RNA and protein synthesis mechanisms (11 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Hao Yin
99 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 5.8k
- Genetics 1.5k
- Biomedical Engineering 730
- Oncology 568
- Immunology 532
Countries citing papers authored by Hao Yin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | Fast and sensitive detection of SARS-CoV-2 RNA using suboptimal protospacer adjacent motifs for Cas12abreakdown → | 272 |
| 13 | 113 | |
| 14 | 138 | |
| 15 | Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice | 1 |
| 16 | Nanoparticle-formulated siRNA targeting integrins inhibits hepatocellular carcinoma progression in mice | 2 |
| 17 | CRISPR-mediated direct mutation of cancer genes in the mouse liver | 1 |
| 18 | 21 | |
| 19 | 40 | |
| 20 | A PERMIS-based authorization solution between portlets and back-end web services | 0 |
About Hao Yin
Hao Yin is a scholar working on Hepatology, Molecular Biology and Cancer Research, having authored 107 papers that have together received 7.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (33 papers), RNA Interference and Gene Delivery (19 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Business and International Management (242 citations), Aging (169 citations) and Molecular Biology (5.8k citations). Hao Yin has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Daniel G. Anderson, Ahmed A. Eltoukhy, J. Robert Dorkin, Arturo J. Vegas, Rosemary Kanasty, Wen Xue, Kevin Kauffman, Cynthia Ju, Hongxia Zhang and Qiubing Chen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.