Le Wang
Impact in
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth
- Physiology top 1%
- Reproductive biology and impacts on aquatic species
Papers in
- Genetics 40
- Genetic diversity and population structure 13
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 13
- Genetic and phenotypic traits in livestock 10
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- Aquaculture Nutrition and Growth 15
- Co-authors
- Gen Hua Yue (51 shared papers)Zi Yi Wan (16 shared papers)May Lee (20 shared papers)Grace Lin (6 shared papers)Jun Xia (5 shared papers)Fei Sun (26 shared papers)Zining Meng (15 shared papers)Haoran Lin (12 shared papers)
- Journals
- Aquaculture (10 papers)Marine Biotechnology (8 papers)Aquaculture and Fisheries (6 papers)Scientific Reports (6 papers)Frontiers in Plant Science (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Le Wang
109 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 138
- Aquatic Science 654
- Physiology 233
- Genetics 804
- Immunology 587
- Water Science and Technology 218
Countries citing papers authored by Le Wang
This map shows the geographic impact of Le 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 Le Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Wang more than expected).
Fields of papers citing papers by Le Wang
This network shows the impact of papers produced by Le 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 Le Wang. The network helps show where Le Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 274 | |
| 2 | 2016 | 163 | |
| 3 | 2005 | 109 | |
| 4 | 2015 | 100 | |
| 5 | 2017 | 80 | |
| 6 | 2015 | 78 | |
| 7 | 2015 | 77 | |
| 8 | 2021 | 75 | |
| 9 | 2019 | 72 | |
| 10 | 2022 | 70 | |
| 11 | 2019 | 67 | |
| 12 | 2022 | 63 | |
| 13 | 2016 | 62 | |
| 14 | 2016 | 61 | |
| 15 | 2021 | 58 | |
| 16 | 2020 | 53 | |
| 17 | 2017 | 53 | |
| 18 | 2017 | 51 | |
| 19 | 2017 | 49 | |
| 20 | 2013 | 49 |
About Le Wang
Le Wang is a scholar working on Genetics, Aquatic Science, Physiology, Immunology and Nature and Landscape Conservation, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (15 papers), Aquaculture Nutrition and Growth (15 papers), Genetic diversity and population structure (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Reproductive biology and impacts on aquatic species (11 papers), Fish Ecology and Management Studies (11 papers), Genetic and phenotypic traits in livestock (10 papers) and Identification and Quantification in Food (8 papers). The work is most often cited by research in Aquatic Science (654 citations), Physiology (233 citations), Genetics (804 citations), Immunology (587 citations) and Water Science and Technology (218 citations). Le Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Gen Hua Yue, Zi Yi Wan, May Lee, Grace Lin, Jun Xia, Fei Sun, Zining Meng, Haoran Lin, Xiaojun Liu and Peng Liu. Their work appears in journals such as Aquaculture, Marine Biotechnology, Aquaculture and Fisheries, Scientific Reports and Frontiers in 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.