Linyu Shi
Impact in
- Aging top 1%
Papers in
-
- CRISPR and Genetic Engineering 24
- Pluripotent Stem Cells Research 14
- RNA and protein synthesis mechanisms 8
- RNA regulation and disease 7
- RNA Interference and Gene Delivery 6
- Genetics 11
- Forensic and Genetic Research 4
- Virus-based gene therapy research 4
- Co-authors
- Hui Yang (25 shared papers)Albert W. Cheng (3 shared papers)Rudolf Jaenisch (3 shared papers)Chikdu Shivalila (3 shared papers)Haoyi Wang (3 shared papers)Jinsong Li (6 shared papers)Guoliang Xu (2 shared papers)Yarden Katz (1 shared paper)
- Journals
- Nature Communications (5 papers)Cell Research (3 papers)Cell (3 papers)National Science Review (2 papers)Forensic Science International Genetics (2 papers)
- Partner nations
- ChinaUnited StatesSlovenia
In The Last Decade
Linyu Shi
55 papers receiving 4.3k citations
Linyu Shi's Hit Papers
Peers
Comparison fields: 5 of 128
- Aging 275
- Business and International Management 221
- Molecular Biology 3.9k
- Genetics 1.1k
- Cancer Research 222
Countries citing papers authored by Linyu Shi
This map shows the geographic impact of Linyu 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 Linyu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyu Shi more than expected).
Fields of papers citing papers by Linyu Shi
This network shows the impact of papers produced by Linyu 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 Linyu Shi. The network helps show where Linyu Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Linyu Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | One-Step Generation of Mice Carrying Reporter and Conditional Alleles by CRISPR/Cas-Mediated Genome Engineering Hit paper breakdown → | 2013 | 1217 |
| 2 | The role of Tet3 DNA dioxygenase in epigenetic reprogramming by oocytes Hit paper breakdown → | 2011 | 859 |
| 3 | Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator system Hit paper breakdown → | 2013 | 594 |
| 4 | 2017 | 239 | |
| 5 | 2012 | 141 | |
| 6 | 2017 | 139 | |
| 7 | 2018 | 108 | |
| 8 | 2015 | 93 | |
| 9 | 2013 | 86 | |
| 10 | 2020 | 62 | |
| 11 | 2023 | 59 | |
| 12 | 2017 | 56 | |
| 13 | 2023 | 53 | |
| 14 | 2020 | 52 | |
| 15 | 2023 | 45 | |
| 16 | 2020 | 43 | |
| 17 | 2008 | 43 | |
| 18 | 2011 | 39 | |
| 19 | 2021 | 35 | |
| 20 | 2019 | 31 |
About Linyu Shi
Linyu Shi is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Physiology and Insect Science, having authored 56 papers that have together received 4.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (24 papers), Pluripotent Stem Cells Research (14 papers), RNA and protein synthesis mechanisms (8 papers), RNA regulation and disease (7 papers), RNA Interference and Gene Delivery (6 papers), Reproductive Biology and Fertility (6 papers), Forensic and Genetic Research (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Aging (275 citations), Business and International Management (221 citations), Molecular Biology (3.9k citations), Genetics (1.1k citations) and Cancer Research (222 citations). Linyu Shi has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Hui Yang, Albert W. Cheng, Rudolf Jaenisch, Chikdu Shivalila, Haoyi Wang, Jinsong Li, Guoliang Xu, Yarden Katz, Sudharshan Rangarajan and Daniel Benjamin Dadon. Their work appears in journals such as Nature Communications, Cell Research, Cell, National Science Review and Forensic Science International Genetics.
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.