Jun Liao
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
Papers in
-
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
- Genetics 6
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Urvashi Surti (5 shared papers)Jie Hu (4 shared papers)Ruth Kornreich (5 shared papers)Malini Sathanoori (4 shared papers)Lorraine H. Toji (2 shared papers)Rachel Lorier (2 shared papers)Suneeta Madan‐Khetarpal (2 shared papers)Svetlana A. Yatsenko (3 shared papers)
- Journals
- Prenatal Diagnosis (1 paper)Journal of Molecular Diagnostics (1 paper)Genome Medicine (1 paper)Orphanet Journal of Rare Diseases (1 paper)American Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesJordanBrazil
In The Last Decade
Jun Liao
17 papers receiving 315 citations
Peers
Comparison fields: 5 of 57
- Pharmacology 77
- Genetics 107
- Cancer Research 52
- Molecular Biology 147
- Immunology and Allergy 11
Countries citing papers authored by Jun Liao
This map shows the geographic impact of Jun Liao'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 Jun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liao more than expected).
Fields of papers citing papers by Jun Liao
This network shows the impact of papers produced by Jun Liao. 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 Jun Liao. The network helps show where Jun Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Liao, 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 | 2015 | 111 | |
| 2 | 2015 | 55 | |
| 3 | 2014 | 46 | |
| 4 | 2011 | 38 | |
| 5 | 2013 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2020 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2015 | 5 | |
| 12 | Characterization of 137 Genomic DNA Reference Materials for 28 Pharmacogenetic Genes: A GeT-RM Collaborative Project | 2016 | 3 |
| 13 | 2022 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2012 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Jun Liao
Jun Liao is a scholar working on Molecular Biology, Genetics, Cancer Research, Pediatrics, Perinatology and Child Health and Oncology, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Pharmacology (77 citations), Genetics (107 citations), Cancer Research (52 citations), Molecular Biology (147 citations) and Immunology and Allergy (11 citations). Jun Liao has collaborated with scholars based in United States, Jordan and Brazil. Frequent co-authors include Urvashi Surti, Jie Hu, Ruth Kornreich, Malini Sathanoori, Lorraine H. Toji, Rachel Lorier, Suneeta Madan‐Khetarpal, Svetlana A. Yatsenko, Praful Aggarwal and Robin E. Everts. Their work appears in journals such as Prenatal Diagnosis, Journal of Molecular Diagnostics, Genome Medicine, Orphanet Journal of Rare Diseases and American Journal of Clinical Pathology.
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.