Pingxi Wang
Impact in
- Plant Science top 10%
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Chromosomal and Genetic Variations
Papers in
-
- Genetics and Plant Breeding 10
- Plant Stress Responses and Tolerance 2
- Genetics 12
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic and phenotypic traits in livestock 5
- Co-authors
- Yunbi Xu (1 shared paper)Cheng Zou (1 shared paper)Hongwei Zhang (10 shared papers)Dongdong Li (7 shared papers)Fanwei Zeng (7 shared papers)Guoying Wang (4 shared papers)Fang� Yang (1 shared paper)Linqian Han (1 shared paper)
- Journals
- Agronomy (2 papers)Plant Breeding (2 papers)PLoS ONE (2 papers)DNA and Cell Biology (1 paper)Archives of Medical Science (1 paper)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Pingxi Wang
28 papers receiving 504 citations
Peers
Comparison fields: 5 of 69
- Plant Science 329
- Horticulture 8
- Genetics 204
- Agronomy and Crop Science 25
- Endocrinology 11
Countries citing papers authored by Pingxi Wang
This map shows the geographic impact of Pingxi Wang'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 Pingxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingxi Wang more than expected).
Fields of papers citing papers by Pingxi Wang
This network shows the impact of papers produced by Pingxi Wang. 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 Pingxi Wang. The network helps show where Pingxi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingxi Wang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 239 | |
| 2 | 2018 | 91 | |
| 3 | 2022 | 28 | |
| 4 | 2009 | 27 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2019 | 3 |
About Pingxi Wang
Pingxi Wang is a scholar working on Plant Science, Genetics, Pollution, Infectious Diseases and Molecular Biology, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetics and Plant Breeding (10 papers), Genetic and phenotypic traits in livestock (5 papers), Heavy metals in environment (3 papers), Crop Yield and Soil Fertility (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Plant Stress Responses and Tolerance (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Plant Science (329 citations), Horticulture (8 citations), Genetics (204 citations), Agronomy and Crop Science (25 citations) and Endocrinology (11 citations). Pingxi Wang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Yunbi Xu, Cheng Zou, Hongwei Zhang, Dongdong Li, Fanwei Zeng, Guoying Wang, Fang� Yang, Linqian Han, Qing Li and Minqi Li. Their work appears in journals such as Agronomy, Plant Breeding, PLoS ONE, DNA and Cell Biology and Archives of Medical Science.
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.