Longda Jiang
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 9
- Genetic Associations and Epidemiology 8
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic and phenotypic traits in livestock 3
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- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Co-authors
- Jian Yang (11 shared papers)Zhili Zheng (5 shared papers)Hailing Fang (2 shared papers)Peter M. Visscher (7 shared papers)Naomi R. Wray (5 shared papers)Kathryn E. Kemper (1 shared paper)Ting Qi (1 shared paper)Jian Zeng (5 shared papers)
- Journals
- Nature Communications (4 papers)Nature Genetics (2 papers)Nature Cell Biology (1 paper)The American Journal of Human Genetics (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Longda Jiang
14 papers receiving 880 citations
Longda Jiang's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 467
- Aging 10
- Cancer Research 82
- Biological Psychiatry 11
- Molecular Biology 286
Countries citing papers authored by Longda Jiang
This map shows the geographic impact of Longda 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 Longda Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longda Jiang more than expected).
Fields of papers citing papers by Longda Jiang
This network shows the impact of papers produced by Longda 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 Longda Jiang. The network helps show where Longda Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longda 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
| # | Work | ||
|---|---|---|---|
| 1 | A generalized linear mixed model association tool for biobank-scale data Hit paper breakdown → | 2021 | 333 |
| 2 | A resource-efficient tool for mixed model association analysis of large-scale data Hit paper breakdown → | 2019 | 286 |
| 3 | 2021 | 59 | |
| 4 | 2021 | 54 | |
| 5 | 2019 | 46 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 20 | |
| 8 | Vienna Yearbook of Population Research 2015 | 2016 | 16 |
| 9 | 2023 | 13 | |
| 10 | 2024 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 |
About Longda Jiang
Longda Jiang is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 883 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Single-cell and spatial transcriptomics (3 papers), Genetic and phenotypic traits in livestock (3 papers), Bioinformatics and Genomic Networks (3 papers), Alcohol Consumption and Health Effects (2 papers), Gene expression and cancer classification (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (467 citations), Aging (10 citations), Cancer Research (82 citations), Biological Psychiatry (11 citations) and Molecular Biology (286 citations). Longda Jiang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jian Yang, Zhili Zheng, Hailing Fang, Peter M. Visscher, Naomi R. Wray, Kathryn E. Kemper, Ting Qi, Jian Zeng, Angli Xue and Raya Muttarak. Their work appears in journals such as Nature Communications, Nature Genetics, Nature Cell Biology, The American Journal of Human Genetics and Scientific Reports.
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.