Lai Jiang
Impact in
- Statistics and Probability top 10%
- Statistical Distribution Estimation and Applications
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- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 5
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 2
- Genetics 10
- Genetic Associations and Epidemiology 6
- Co-authors
- Augustine Wong (5 shared papers)Celia M.T. Greenwood (11 shared papers)Yuping Zhu (1 shared paper)Dechuan Li (1 shared paper)Bo Li (1 shared paper)Zhuo Liu (1 shared paper)Gang Wang (1 shared paper)Min Lv (1 shared paper)
- Journals
- Genetic Epidemiology (3 papers)Scientific Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)Biomass and Bioenergy (1 paper)
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Lai Jiang
22 papers receiving 252 citations
Peers
Comparison fields: 5 of 67
- Statistics and Probability 39
- Cancer Research 62
- Genetics 82
- Statistics, Probability and Uncertainty 20
- Molecular Biology 132
Countries citing papers authored by Lai Jiang
This map shows the geographic impact of Lai Jiang'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 Lai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Jiang more than expected).
Fields of papers citing papers by Lai Jiang
This network shows the impact of papers produced by Lai Jiang. 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 Lai Jiang. The network helps show where Lai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2018 | 45 | |
| 3 | 2022 | 28 | |
| 4 | 2006 | 24 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2016 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2024 | 6 | |
| 14 | Comparing the Means of Two Log-Normal Distributions: A Likelihood Approach | 2014 | 3 |
| 15 | 2018 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2006 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2014 | 1 |
About Lai Jiang
Lai Jiang is a scholar working on Molecular Biology, Genetics, Statistics and Probability, Computer Vision and Pattern Recognition and Oncology, having authored 27 papers that have together received 258 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (5 papers), Statistical Distribution Estimation and Applications (4 papers), Advanced Statistical Methods and Models (3 papers), Bioinformatics and Genomic Networks (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Statistics and Probability (39 citations), Cancer Research (62 citations), Genetics (82 citations), Statistics, Probability and Uncertainty (20 citations) and Molecular Biology (132 citations). Lai Jiang has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Augustine Wong, Celia M.T. Greenwood, Yuping Zhu, Dechuan Li, Bo Li, Zhuo Liu, Gang Wang, Min Lv, Weixin Yao and Longhai Li. Their work appears in journals such as Genetic Epidemiology, Scientific Reports, Frontiers in Cell and Developmental Biology, Nature Communications and Biomass and Bioenergy.
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.