Luhan Yang
Impact in
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- Innovation and Socioeconomic Development
- Aging top 1%
Papers in
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- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 2
- Genetics 4
- Animal Genetics and Reproduction 4
- Co-authors
- George M. Church (8 shared papers)John Aach (4 shared papers)Prashant Mali (3 shared papers)Sriram Kosuri (1 shared paper)Mark Moosburner (1 shared paper)P. Benjamin Stranges (1 shared paper)Kevin M. Esvelt (1 shared paper)Marc Güell (3 shared papers)
- Journals
- Nature Communications (2 papers)Science (2 papers)Pharmaceutics (1 paper)Molecular Pharmaceutics (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Luhan Yang
13 papers receiving 2.8k citations
Luhan Yang's Hit Papers
Peers
Comparison fields: 5 of 102
- Business and International Management 238
- Aging 190
- Molecular Biology 2.3k
- Genetics 819
- Surgery 503
Countries citing papers authored by Luhan Yang
This map shows the geographic impact of Luhan Yang'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 Luhan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luhan Yang more than expected).
Fields of papers citing papers by Luhan Yang
This network shows the impact of papers produced by Luhan Yang. 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 Luhan Yang. The network helps show where Luhan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Luhan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering Hit paper breakdown → | 2013 | 1387 |
| 2 | Inactivation of porcine endogenous retrovirus in pigs using CRISPR-Cas9 Hit paper breakdown → | 2017 | 515 |
| 3 | Genome-wide inactivation of porcine endogenous retroviruses (PERVs) Hit paper breakdown → | 2015 | 413 |
| 4 | 2014 | 109 | |
| 5 | 2018 | 87 | |
| 6 | 2016 | 80 | |
| 7 | 2014 | 66 | |
| 8 | 2016 | 61 | |
| 9 | 2014 | 43 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 8 |
About Luhan Yang
Luhan Yang is a scholar working on Molecular Biology, Genetics, Surgery, Organic Chemistry and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 2.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Xenotransplantation and immune response (2 papers), RNA and protein synthesis mechanisms (2 papers) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Business and International Management (238 citations), Aging (190 citations), Molecular Biology (2.3k citations), Genetics (819 citations) and Surgery (503 citations). Luhan Yang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include George M. Church, John Aach, Prashant Mali, Sriram Kosuri, Mark Moosburner, P. Benjamin Stranges, Kevin M. Esvelt, Marc Güell, Emal Lesha and Dong Niu. Their work appears in journals such as Nature Communications, Science, Pharmaceutics, Molecular Pharmaceutics and Nature Protocols.
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.