Weidi Wang
Impact in
- Plant Science top 5%
- Weed Control and Herbicide Applications
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
Papers in
- Genetics 13
- Genetic Associations and Epidemiology 4
- Genomics and Rare Diseases 3
- Evolution and Genetic Dynamics 2
-
- Schizophrenia research and treatment 5
- Co-authors
- Guan Ning Lin (24 shared papers)Jie Qiu (7 shared papers)Chuyu Ye (7 shared papers)Longjiang Fan (6 shared papers)Weichen Song (13 shared papers)Roser Corominas (1 shared paper)Shunying Yu (8 shared papers)Fei Fu (3 shared papers)
- Journals
- Life (2 papers)Nature Communications (2 papers)BMC Genomics (2 papers)Planta (2 papers)Psychiatry and Clinical Neurosciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weidi Wang
40 papers receiving 873 citations
Peers
Comparison fields: 5 of 89
- Plant Science 443
- Genetics 230
- Health Informatics 10
- Agronomy and Crop Science 33
- Molecular Biology 174
Countries citing papers authored by Weidi Wang
This map shows the geographic impact of Weidi 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 Weidi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidi Wang more than expected).
Fields of papers citing papers by Weidi Wang
This network shows the impact of papers produced by Weidi 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 Weidi Wang. The network helps show where Weidi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weidi 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2017 | 137 | |
| 3 | 2015 | 83 | |
| 4 | 2015 | 62 | |
| 5 | 2014 | 49 | |
| 6 | 2015 | 49 | |
| 7 | 2019 | 47 | |
| 8 | 2014 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2019 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2021 | 10 |
About Weidi Wang
Weidi Wang is a scholar working on Genetics, Psychiatry and Mental health, Plant Science, Cellular and Molecular Neuroscience and Molecular Biology, having authored 42 papers that have together received 893 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (5 papers), Genetic Associations and Epidemiology (4 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (3 papers), Machine Learning in Bioinformatics (3 papers), Evolution and Genetic Dynamics (2 papers), Memory and Neural Mechanisms (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Plant Science (443 citations), Genetics (230 citations), Health Informatics (10 citations), Agronomy and Crop Science (33 citations) and Molecular Biology (174 citations). Weidi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guan Ning Lin, Jie Qiu, Chuyu Ye, Longjiang Fan, Weichen Song, Roser Corominas, Shunying Yu, Fei Fu, Yongliang Lu and Qian‐Hao Zhu. Their work appears in journals such as Life, Nature Communications, BMC Genomics, Planta and Psychiatry and Clinical Neurosciences.
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.