Lan Wang
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Rice Cultivation and Yield Improvement
- Plant Disease Resistance and Genetics
- GABA and Rice Research
- Aging top 10%
Papers in
-
- Retinal Development and Disorders 4
- Plant Reproductive Biology 4
-
- GABA and Rice Research 5
- Chromosomal and Genetic Variations 5
- Plant Molecular Biology Research 4
- Rice Cultivation and Yield Improvement 4
- Co-authors
- Xiangdong Liu (11 shared papers)Muhammad Qasim Shahid (8 shared papers)Jinwen Wu (6 shared papers)Peter Walter (9 shared papers)LU Yong-gen (6 shared papers)Zhixiong Chen (7 shared papers)Yao‐Guang Liu (2 shared papers)Yuejin Wang (3 shared papers)
- Journals
- eLife (5 papers)International Journal of Molecular Sciences (4 papers)Blood (4 papers)Plant Disease (3 papers)Journal of Food Composition and Analysis (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lan Wang
109 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 132
- Plant Science 786
- Aging 30
- Genetics 432
- Molecular Biology 1.0k
- Cell Biology 160
Countries citing papers authored by Lan Wang
This map shows the geographic impact of Lan 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 Lan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wang more than expected).
Fields of papers citing papers by Lan Wang
This network shows the impact of papers produced by Lan 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 Lan Wang. The network helps show where Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 216 | |
| 2 | 2019 | 108 | |
| 3 | 2016 | 99 | |
| 4 | 2004 | 87 | |
| 5 | 1999 | 73 | |
| 6 | 2014 | 60 | |
| 7 | 2014 | 56 | |
| 8 | 2008 | 56 | |
| 9 | 2014 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2010 | 47 | |
| 12 | 2021 | 46 | |
| 13 | 2000 | 45 | |
| 14 | 2019 | 44 | |
| 15 | 2017 | 42 | |
| 16 | 2020 | 41 | |
| 17 | 2020 | 41 | |
| 18 | 2019 | 38 | |
| 19 | 2019 | 35 | |
| 20 | 2014 | 34 |
About Lan Wang
Lan Wang is a scholar working on Molecular Biology, Plant Science, Genetics, Cell Biology and Immunology, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Plant Pathogens and Fungal Diseases (6 papers), GABA and Rice Research (5 papers), Chromosomal and Genetic Variations (5 papers), Plant Molecular Biology Research (4 papers), Rice Cultivation and Yield Improvement (4 papers), Retinal Development and Disorders (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Plant Science (786 citations), Aging (30 citations), Genetics (432 citations), Molecular Biology (1.0k citations) and Cell Biology (160 citations). Lan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiangdong Liu, Muhammad Qasim Shahid, Jinwen Wu, Peter Walter, LU Yong-gen, Zhixiong Chen, Yao‐Guang Liu, Yuejin Wang, Xiang Li and Ruiqi Liu. Their work appears in journals such as eLife, International Journal of Molecular Sciences, Blood, Plant Disease and Journal of Food Composition and Analysis.
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.