Longda Jiang
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 12
- Genetic Associations and Epidemiology 12
-
- Single-cell and spatial transcriptomics 2
- Co-authors
- Jian Yang (10 shared papers)Zhili Zheng (5 shared papers)Peter M. Visscher (6 shared papers)Naomi R. Wray (4 shared papers)Kathryn E. Kemper (2 shared papers)Ting Qi (1 shared paper)Jian Zeng (4 shared papers)Angli Xue (3 shared papers)
- Journals
- Nature Communications (5 papers)Nature Genetics (3 papers)Nature Cell Biology (1 paper)The American Journal of Human Genetics (1 paper)Diabetes (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Longda Jiang
17 papers receiving 2.1k citations
Longda Jiang's Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 900
- Psychiatry and Mental health 65
- Molecular Biology 168
- Neurology 34
- Biological Psychiatry 2
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 | An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans Hit paper breakdown → | 2017 | 552 |
| 2 | A generalized linear mixed model association tool for biobank-scale data Hit paper breakdown → | 2021 | 425 |
| 3 | A resource-efficient tool for mixed model association analysis of large-scale data Hit paper breakdown → | 2019 | 371 |
| 4 | 2018 | 285 | |
| 5 | 2021 | 122 | |
| 6 | 2021 | 84 | |
| 7 | 2023 | 59 | |
| 8 | 2019 | 56 | |
| 9 | 2021 | 56 | |
| 10 | 2021 | 51 | |
| 11 | 2023 | 27 | |
| 12 | 2021 | 25 | |
| 13 | 2025 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2024 | 17 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 1 |
About Longda Jiang
Longda Jiang is a scholar working on Genetics, Molecular Biology, Epidemiology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Single-cell and spatial transcriptomics (2 papers) and Ophthalmology and Visual Impairment Studies (1 paper). The work is most often cited by research in Genetics (900 citations), Psychiatry and Mental health (65 citations), Molecular Biology (168 citations), Neurology (34 citations) and Biological Psychiatry (2 citations). Longda Jiang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jian Yang, Zhili Zheng, Peter M. Visscher, Naomi R. Wray, Kathryn E. Kemper, Ting Qi, Jian Zeng, Angli Xue, Loïc Yengo and Michael Edward Goddard. Their work appears in journals such as Nature Communications, Nature Genetics, Nature Cell Biology, The American Journal of Human Genetics and Diabetes.
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.