Xinwu Pei
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Endocrinology top 10%
Papers in
-
- Plant Molecular Biology Research 18
- Plant Stress Responses and Tolerance 8
- Plant Virus Research Studies 6
- Genetically Modified Organisms Research 6
- Plant-Microbe Interactions and Immunity 4
-
- CRISPR and Genetic Engineering 9
- Plant tissue culture and regeneration 9
- Co-authors
- Shirong Jia (12 shared papers)Yan Long (14 shared papers)Ke Wang (3 shared papers)Xingguo Ye (3 shared papers)Lipu Du (3 shared papers)Huiyun Liu (3 shared papers)Qiang Gong (2 shared papers)Zhixing Wang (7 shared papers)
- Journals
- PLoS ONE (8 papers)International Journal of Molecular Sciences (4 papers)Virology (2 papers)Plants (2 papers)BMC Plant Biology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xinwu Pei
50 papers receiving 836 citations
Peers
Comparison fields: 5 of 78
- Plant Science 712
- Endocrinology 37
- Molecular Biology 405
- Biotechnology 38
- Horticulture 4
Countries citing papers authored by Xinwu Pei
This map shows the geographic impact of Xinwu Pei'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 Xinwu Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwu Pei more than expected).
Fields of papers citing papers by Xinwu Pei
This network shows the impact of papers produced by Xinwu Pei. 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 Xinwu Pei. The network helps show where Xinwu Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinwu Pei, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 125 | |
| 2 | 2017 | 53 | |
| 3 | 2020 | 44 | |
| 4 | 2022 | 39 | |
| 5 | 2020 | 36 | |
| 6 | 2013 | 32 | |
| 7 | 2007 | 32 | |
| 8 | 2005 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2018 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2015 | 23 | |
| 14 | 2018 | 22 | |
| 15 | 2012 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 16 |
About Xinwu Pei
Xinwu Pei is a scholar working on Plant Science, Molecular Biology, Genetics, Biotechnology and Endocrinology, having authored 50 papers that have together received 855 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (18 papers), CRISPR and Genetic Engineering (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant tissue culture and regeneration (9 papers), Plant Stress Responses and Tolerance (8 papers), Plant Virus Research Studies (6 papers), Genetically Modified Organisms Research (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). The work is most often cited by research in Plant Science (712 citations), Endocrinology (37 citations), Molecular Biology (405 citations), Biotechnology (38 citations) and Horticulture (4 citations). Xinwu Pei has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shirong Jia, Yan Long, Ke Wang, Xingguo Ye, Lipu Du, Huiyun Liu, Qiang Gong, Zhixing Wang, Qianhua Yuan and Weimin Li. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Virology, Plants and BMC Plant Biology.
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.