Xinle Wang
Impact in
- Ecological Modeling top 10%
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Pathogens and Resistance
- Legume Nitrogen Fixing Symbiosis
- Plant Disease Resistance and Genetics
Papers in
- Genetics 9
- Genetic and phenotypic traits in livestock 8
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Daolong Dou (1 shared paper)Poulami Basu Thakur (1 shared paper)John M. McDowell (1 shared paper)Qunqing Wang (1 shared paper)Felipe D. Arredondo (1 shared paper)Rays H. Y. Jiang (1 shared paper)Yubo Chen (1 shared paper)Yuanchao Wang (1 shared paper)
- Journals
- Poultry Science (5 papers)Animals (3 papers)Veterinary Sciences (2 papers)Industrial Crops and Products (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xinle Wang
45 papers receiving 756 citations
Peers
Comparison fields: 5 of 118
- Ecological Modeling 40
- Plant Science 287
- Horticulture 7
- Pollution 74
- Industrial and Manufacturing Engineering 52
Countries citing papers authored by Xinle Wang
This map shows the geographic impact of Xinle 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 Xinle Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinle Wang more than expected).
Fields of papers citing papers by Xinle Wang
This network shows the impact of papers produced by Xinle 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 Xinle Wang. The network helps show where Xinle Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinle 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 278 | |
| 2 | 2023 | 85 | |
| 3 | 2021 | 68 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2024 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2023 | 14 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Xinle Wang
Xinle Wang is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cancer Research and Animal Science and Zoology, having authored 52 papers that have together received 767 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (8 papers), Cancer-related molecular mechanisms research (6 papers), Animal Nutrition and Physiology (6 papers), Cancer Mechanisms and Therapy (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Microplastics and Plastic Pollution (3 papers), Peptidase Inhibition and Analysis (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Ecological Modeling (40 citations), Plant Science (287 citations), Horticulture (7 citations), Pollution (74 citations) and Industrial and Manufacturing Engineering (52 citations). Xinle Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daolong Dou, Poulami Basu Thakur, John M. McDowell, Qunqing Wang, Felipe D. Arredondo, Rays H. Y. Jiang, Yubo Chen, Yuanchao Wang, Brett M. Tyler and Xia Wang. Their work appears in journals such as Poultry Science, Animals, Veterinary Sciences, Industrial Crops and Products and Scientific Reports.
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.