Luhan Yang
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 7
- Pluripotent Stem Cells Research 2
- RNA and protein synthesis mechanisms 2
- Muscle Physiology and Disorders 1
- Genetics 4
- Animal Genetics and Reproduction 3
- Bacterial Genetics and Biotechnology 1
- Co-authors
- George M. Church (6 shared papers)Marc Güell (3 shared papers)Prashant Mali (3 shared papers)John Aach (2 shared papers)Kevin M. Esvelt (1 shared paper)Julie E. Norville (1 shared paper)Xavier Rios (2 shared papers)Adrian W. Briggs (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Science (2 papers)Bioinformatics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Transplantation (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Luhan Yang
8 papers receiving 8.3k citations
Luhan Yang's Hit Papers
Peers
Comparison fields: 5 of 129
- Aging 573
- Business and International Management 592
- Molecular Biology 7.6k
- Genetics 1.7k
- Insect Science 406
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 | RNA-Guided Human Genome Engineering via Cas9 Hit paper breakdown → | 2013 | 7347 |
| 2 | Titin mutations in iPS cells define sarcomere insufficiency as a cause of dilated cardiomyopathy Hit paper breakdown → | 2015 | 459 |
| 3 | 2013 | 315 | |
| 4 | 2012 | 175 | |
| 5 | 2014 | 123 | |
| 6 | 2021 | 19 | |
| 7 | 2025 | 3 | |
| 8 | 2020 | 2 |
About Luhan Yang
Luhan Yang is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 8 papers that have together received 8.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (3 papers), Xenotransplantation and immune response (2 papers), Pluripotent Stem Cells Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Muscle Physiology and Disorders (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Aging (573 citations), Business and International Management (592 citations), Molecular Biology (7.6k citations), Genetics (1.7k citations) and Insect Science (406 citations). Luhan Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include George M. Church, Marc Güell, Prashant Mali, John Aach, Kevin M. Esvelt, Julie E. Norville, Xavier Rios, Adrian W. Briggs, Raj Chari and Feng Zhang. Their work appears in journals such as Nucleic Acids Research, Science, Bioinformatics, Proceedings of the National Academy of Sciences and Transplantation.
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.