Jing Yu
Impact in
- Soil Science top 2%
- Composting and Vermicomposting Techniques
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
- Soil Science 11
- Composting and Vermicomposting Techniques 9
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- Research in Cotton Cultivation 9
- Wheat and Barley Genetics and Pathology 5
- Chromosomal and Genetic Variations 3
- Co-authors
- Jie Gu (15 shared papers)Xiaojuan Wang (15 shared papers)Honghong Guo (12 shared papers)Liusheng Lei (11 shared papers)Wenya Zhao (7 shared papers)Xiaoxia Dai (7 shared papers)Dorrie Main (13 shared papers)Taein Lee (10 shared papers)
- Journals
- Database (7 papers)Bioresource Technology (4 papers)Journal of Environmental Management (4 papers)Journal of Hazardous Materials (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jing Yu
54 papers receiving 2.6k citations
Jing Yu's Hit Papers
Peers
Comparison fields: 5 of 72
- Soil Science 613
- Pollution 418
- Plant Science 1.1k
- Genetics 285
- Process Chemistry and Technology 12
Countries citing papers authored by Jing Yu
This map shows the geographic impact of Jing Yu'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 Jing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yu more than expected).
Fields of papers citing papers by Jing Yu
This network shows the impact of papers produced by Jing Yu. 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 Jing Yu. The network helps show where Jing Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 15 years of GDR: New data and functionality in the Genome Database for Rosaceae Hit paper breakdown → | 2018 | 345 |
| 2 | 2013 | 267 | |
| 3 | 2013 | 167 | |
| 4 | 2019 | 132 | |
| 5 | 2021 | 126 | |
| 6 | 2021 | 107 | |
| 7 | 2020 | 103 | |
| 8 | 2019 | 97 | |
| 9 | 2015 | 94 | |
| 10 | 2019 | 93 | |
| 11 | 2003 | 92 | |
| 12 | 2020 | 88 | |
| 13 | 2020 | 78 | |
| 14 | 2018 | 72 | |
| 15 | 2020 | 65 | |
| 16 | 2020 | 57 | |
| 17 | 2004 | 51 | |
| 18 | 2022 | 50 | |
| 19 | 1998 | 48 | |
| 20 | 2006 | 45 |
About Jing Yu
Jing Yu is a scholar working on Soil Science, Plant Science, Pollution, Genetics and Molecular Medicine, having authored 57 papers that have together received 2.7k indexed citations. Recurring topics across this work include Composting and Vermicomposting Techniques (9 papers), Research in Cotton Cultivation (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Genomics and Phylogenetic Studies (8 papers), Wheat and Barley Genetics and Pathology (5 papers), Research Data Management Practices (4 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Soil Science (613 citations), Pollution (418 citations), Plant Science (1.1k citations), Genetics (285 citations) and Process Chemistry and Technology (12 citations). Jing Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jie Gu, Xiaojuan Wang, Honghong Guo, Liusheng Lei, Wenya Zhao, Xiaoxia Dai, Dorrie Main, Taein Lee, Sook Jung and Chun-Huai Cheng. Their work appears in journals such as Database, Bioresource Technology, Journal of Environmental Management, Journal of Hazardous Materials and Nucleic Acids Research.
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.