Xiaoxi Meng
Impact in
- Geriatrics and Gerontology top 10%
- Plant Science top 10%
- Plant Molecular Biology Research
Papers in
-
- Genomics and Phylogenetic Studies 4
- Ubiquitin and proteasome pathways 4
- Plant Gene Expression Analysis 3
- Plant biochemistry and biosynthesis 3
-
- GABA and Rice Research 5
- Co-authors
- Zhaohua Peng (8 shared papers)Shihai Xing (11 shared papers)Xiaojun Peng (4 shared papers)Lingjie Meng (1 shared paper)Qinghua Lu (1 shared paper)Jin Ye (1 shared paper)Sheng Dong (1 shared paper)Cailin Wang (4 shared papers)
- Journals
- BMC Genomics (3 papers)Scientific Reports (2 papers)Frontiers in Plant Science (2 papers)JACC CardioOncology (1 paper)Planta (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaoxi Meng
34 papers receiving 775 citations
Xiaoxi Meng's Hit Papers
Peers
Comparison fields: 5 of 98
- Geriatrics and Gerontology 27
- Plant Science 249
- Molecular Biology 364
- Biomaterials 66
- Cancer Research 59
Countries citing papers authored by Xiaoxi Meng
This map shows the geographic impact of Xiaoxi Meng'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 Xiaoxi Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxi Meng more than expected).
Fields of papers citing papers by Xiaoxi Meng
This network shows the impact of papers produced by Xiaoxi Meng. 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 Xiaoxi Meng. The network helps show where Xiaoxi Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxi Meng, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 125 | |
| 2 | 2021 | 76 | |
| 3 | 2021 | 57 | |
| 4 | 2017 | 55 | |
| 5 | 2020 | 41 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 34 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 32 | |
| 10 | 2016 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2015 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2014 | 25 | |
| 16 | VDAC2 loss elicits tumour destruction and inflammation for cancer therapy Hit paper breakdown → | 2025 | 17 |
| 17 | 2013 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 12 |
About Xiaoxi Meng
Xiaoxi Meng is a scholar working on Molecular Biology, Plant Science, Pulmonary and Respiratory Medicine, Genetics and Pharmacology, having authored 35 papers that have together received 787 indexed citations. Recurring topics across this work include GABA and Rice Research (5 papers), Genomics and Phylogenetic Studies (4 papers), Vascular Procedures and Complications (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Ubiquitin and proteasome pathways (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Plant Gene Expression Analysis (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Plant Science (249 citations), Molecular Biology (364 citations), Biomaterials (66 citations) and Cancer Research (59 citations). Xiaoxi Meng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhaohua Peng, Shihai Xing, Xiaojun Peng, Lingjie Meng, Qinghua Lu, Jin Ye, Sheng Dong, Cailin Wang, Shu Wang and Tingcai Yan. Their work appears in journals such as BMC Genomics, Scientific Reports, Frontiers in Plant Science, JACC CardioOncology and Planta.
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.