Lingxia Wang
Impact in
- Plant Science top 2%
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Rice Cultivation and Yield Improvement
- Plant Stress Responses and Tolerance
- Endocrinology top 5%
Papers in
-
- Plant Molecular Biology Research 17
- Plant Disease Resistance and Genetics 10
- Rice Cultivation and Yield Improvement 8
- GABA and Rice Research 5
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- Plant Reproductive Biology 17
- Photosynthetic Processes and Mechanisms 11
- Insect Resistance and Genetics 7
- Co-authors
- Shuangcheng Li (33 shared papers)Qiming Deng (30 shared papers)Jun Zhu (30 shared papers)Shiquan Wang (30 shared papers)Ping Li (22 shared papers)Aiping Zheng (19 shared papers)Huainian Liu (21 shared papers)Yueyang Liang (21 shared papers)
- Journals
- Molecular Breeding (5 papers)The Plant Journal (4 papers)Scientific Reports (3 papers)Euphytica (2 papers)Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingxia Wang
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Plant Science 1.5k
- Endocrinology 89
- Molecular Biology 1.1k
- Cancer Research 164
- Genetics 318
Countries citing papers authored by Lingxia Wang
This map shows the geographic impact of Lingxia 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 Lingxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxia Wang more than expected).
Fields of papers citing papers by Lingxia Wang
This network shows the impact of papers produced by Lingxia 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 Lingxia Wang. The network helps show where Lingxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingxia 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 313 | |
| 2 | 2016 | 263 | |
| 3 | 2020 | 135 | |
| 4 | 2013 | 86 | |
| 5 | 2021 | 82 | |
| 6 | 2013 | 77 | |
| 7 | 2017 | 73 | |
| 8 | 2003 | 73 | |
| 9 | 2017 | 60 | |
| 10 | 2020 | 56 | |
| 11 | 2017 | 54 | |
| 12 | 2022 | 54 | |
| 13 | 2017 | 53 | |
| 14 | 2014 | 52 | |
| 15 | 2004 | 48 | |
| 16 | 2018 | 45 | |
| 17 | 2010 | 42 | |
| 18 | 2017 | 38 | |
| 19 | 2018 | 37 | |
| 20 | 2021 | 36 |
About Lingxia Wang
Lingxia Wang is a scholar working on Plant Science, Molecular Biology, Cancer Research, Genetics and Endocrinology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Plant Reproductive Biology (17 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Photosynthetic Processes and Mechanisms (11 papers), Plant Disease Resistance and Genetics (10 papers), Rice Cultivation and Yield Improvement (8 papers), Insect Resistance and Genetics (7 papers) and GABA and Rice Research (5 papers). The work is most often cited by research in Plant Science (1.5k citations), Endocrinology (89 citations), Molecular Biology (1.1k citations), Cancer Research (164 citations) and Genetics (318 citations). Lingxia Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shuangcheng Li, Qiming Deng, Jun Zhu, Shiquan Wang, Ping Li, Aiping Zheng, Huainian Liu, Yueyang Liang, Ting Zou and Huan Yang. Their work appears in journals such as Molecular Breeding, The Plant Journal, Scientific Reports, Euphytica and Plant 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.