Yu Jiang
Impact in
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 23
- Genetics 58
- Genetic and phenotypic traits in livestock 40
- Genetic Mapping and Diversity in Plants and Animals 18
- Co-authors
- Wen Wang (8 shared papers)Xihong Wang (16 shared papers)Weiwei Fu (9 shared papers)Yulin Chen (8 shared papers)Ruoping Zhao (2 shared papers)Yudong Cai (12 shared papers)Xun Xu (2 shared papers)Xiaolong Wang (6 shared papers)
- Journals
- BMC Genomics (11 papers)The American Journal of Drug and Alcohol Abuse (6 papers)GigaScience (5 papers)Journal of Criminal Justice (5 papers)Frontiers in Genetics (5 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Yu Jiang
184 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 175
- Genetics 1.1k
- Cancer Research 400
- Agronomy and Crop Science 228
- Applied Psychology 88
- Plant Science 599
Countries citing papers authored by Yu Jiang
This map shows the geographic impact of Yu 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 Yu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jiang more than expected).
Fields of papers citing papers by Yu Jiang
This network shows the impact of papers produced by Yu 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 Yu Jiang. The network helps show where Yu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 209 | |
| 2 | 2003 | 135 | |
| 3 | 1992 | 116 | |
| 4 | 2016 | 109 | |
| 5 | 2010 | 94 | |
| 6 | 2017 | 91 | |
| 7 | 2020 | 78 | |
| 8 | 2015 | 76 | |
| 9 | 2016 | 74 | |
| 10 | 2016 | 74 | |
| 11 | 2020 | 72 | |
| 12 | 2022 | 61 | |
| 13 | 2010 | 60 | |
| 14 | 2019 | 53 | |
| 15 | 2020 | 52 | |
| 16 | 2023 | 49 | |
| 17 | 2017 | 49 | |
| 18 | 2018 | 47 | |
| 19 | 1993 | 47 | |
| 20 | 2000 | 47 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Genetics, Epidemiology, Plant Science and Cancer Research, having authored 197 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (40 papers), Substance Abuse Treatment and Outcomes (31 papers), Cancer-related molecular mechanisms research (26 papers), Genomics and Phylogenetic Studies (23 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers), Chromosomal and Genetic Variations (11 papers), Smoking Behavior and Cessation (10 papers) and Crime Patterns and Interventions (10 papers). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (400 citations), Agronomy and Crop Science (228 citations), Applied Psychology (88 citations) and Plant Science (599 citations). Yu Jiang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Wen Wang, Xihong Wang, Weiwei Fu, Yulin Chen, Ruoping Zhao, Yudong Cai, Xun Xu, Xiaolong Wang, Yun Zhang and Wen‐Hui Lee. Their work appears in journals such as BMC Genomics, The American Journal of Drug and Alcohol Abuse, GigaScience, Journal of Criminal Justice and Frontiers in Genetics.
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.