Junyang Qian
Impact in
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- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 4
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 1
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- Statistical Methods and Inference 3
- Advanced Causal Inference Techniques 1
- Co-authors
- Trevor Hastie (5 shared papers)Yosuke Tanigawa (4 shared papers)Manuel A. Rivas (4 shared papers)Robert Tibshirani (4 shared papers)Christopher Chang (2 shared papers)Johanne Marie Justesen (2 shared papers)Matthew Aguirre (1 shared paper)Guhan Venkataraman (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Computational Statistics & Data Analysis (1 paper)Biostatistics (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Junyang Qian
6 papers receiving 194 citations
Peers
Comparison fields: 5 of 66
- Genetics 105
- Statistics and Probability 30
- Biochemistry 25
- Aging 2
- Molecular Biology 78
Countries citing papers authored by Junyang Qian
This map shows the geographic impact of Junyang Qian'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 Junyang Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyang Qian more than expected).
Fields of papers citing papers by Junyang Qian
This network shows the impact of papers produced by Junyang Qian. 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 Junyang Qian. The network helps show where Junyang Qian may publish in the future.
Co-authors
The 17 scholars most cited alongside Junyang Qian, 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 | 2020 | 67 | |
| 2 | 2022 | 54 | |
| 3 | 2018 | 34 | |
| 4 | 2020 | 22 | |
| 5 | 2015 | 12 | |
| 6 | 2022 | 9 |
About Junyang Qian
Junyang Qian is a scholar working on Genetics, Statistics and Probability, Epidemiology, Molecular Biology and Computational Mechanics, having authored 6 papers that have together received 198 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Statistical Methods and Inference (3 papers), Genetic and phenotypic traits in livestock (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Lipid Membrane Structure and Behavior (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Genetics (105 citations), Statistics and Probability (30 citations), Biochemistry (25 citations), Aging (2 citations) and Molecular Biology (78 citations). Junyang Qian has collaborated with scholars based in United States and China. Frequent co-authors include Trevor Hastie, Yosuke Tanigawa, Manuel A. Rivas, Robert Tibshirani, Christopher Chang, Johanne Marie Justesen, Matthew Aguirre, Guhan Venkataraman, Jinzhu Jia and João Rodrigues. Their work appears in journals such as PLoS Genetics, Proceedings of the National Academy of Sciences, Computational Statistics & Data Analysis, Biostatistics and The Annals of Applied Statistics.
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.