Ling-Yang Hao
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
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- Telomeres, Telomerase, and Senescence 4
-
- DNA Repair Mechanisms 2
- Co-authors
- Margaret A. Strong (3 shared papers)Carol W. Greider (3 shared papers)Michael T. Hemann (1 shared paper)Baktiar Karim (1 shared paper)David L. Huso (1 shared paper)Mary Armanios (1 shared paper)David M. Feldser (1 shared paper)Gary D. Glick (3 shared papers)
- Journals
- Cell (2 papers)The Journal of Immunology (1 paper)Nature Chemical Biology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ling-Yang Hao
9 papers receiving 1.8k citations
Ling-Yang Hao's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 259
- Physiology 1.1k
- Immunology 288
- Molecular Biology 822
- Genetics 77
Countries citing papers authored by Ling-Yang Hao
This map shows the geographic impact of Ling-Yang Hao'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 Ling-Yang Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Yang Hao more than expected).
Fields of papers citing papers by Ling-Yang Hao
This network shows the impact of papers produced by Ling-Yang Hao. 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 Ling-Yang Hao. The network helps show where Ling-Yang Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling-Yang Hao, 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 | The Shortest Telomere, Not Average Telomere Length, Is Critical for Cell Viability and Chromosome Stability Hit paper breakdown → | 2001 | 1000 |
| 2 | 2005 | 244 | |
| 3 | 2015 | 184 | |
| 4 | 2008 | 178 | |
| 5 | 2015 | 103 | |
| 6 | 2004 | 64 | |
| 7 | 2014 | 56 | |
| 8 | 2013 | 16 | |
| 9 | 2004 | 8 |
About Ling-Yang Hao
Ling-Yang Hao is a scholar working on Physiology, Molecular Biology, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Microplastics and Plastic Pollution (1 paper), T-cell and B-cell Immunology (1 paper), Chromosomal and Genetic Variations (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Aging (259 citations), Physiology (1.1k citations), Immunology (288 citations), Molecular Biology (822 citations) and Genetics (77 citations). Ling-Yang Hao has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Margaret A. Strong, Carol W. Greider, Michael T. Hemann, Baktiar Karim, David L. Huso, Mary Armanios, David M. Feldser, Gary D. Glick, Xikui Liu and Brian Sanchez. Their work appears in journals such as Cell, The Journal of Immunology, Nature Chemical Biology, Journal of Pharmacology and Experimental Therapeutics 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.