Weidi Wang
Impact in
- Plant Science top 10%
- GABA and Rice Research
- Plant Molecular Biology Research
- Weed Control and Herbicide Applications
- Plant Virus Research Studies
-
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Bioinformatics and Genomic Networks 5
- Genetics 12
- Genetic Associations and Epidemiology 5
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Guan Ning Lin (22 shared papers)Jie Qiu (7 shared papers)Chuyu Ye (7 shared papers)Longjiang Fan (6 shared papers)Roser Corominas (1 shared paper)Weichen Song (12 shared papers)Shunying Yu (7 shared papers)Qian‐Hao Zhu (4 shared papers)
- Journals
- BMC Genomics (2 papers)Life (2 papers)Planta (2 papers)Nature Communications (1 paper)Big Data Mining and Analytics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weidi Wang
37 papers receiving 603 citations
Peers
Comparison fields: 5 of 107
- Plant Science 289
- Genetics 149
- Biological Psychiatry 10
- Molecular Biology 202
- Health Informatics 4
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2015 | 82 | |
| 3 | 2015 | 47 | |
| 4 | 2014 | 47 | |
| 5 | 2019 | 43 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2018 | 9 |
About Weidi Wang
Weidi Wang is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Epidemiology, having authored 40 papers that have together received 614 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), GABA and Rice Research (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Plant Science (289 citations), Genetics (149 citations), Biological Psychiatry (10 citations), Molecular Biology (202 citations) and Health Informatics (4 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, Roser Corominas, Weichen Song, Shunying Yu, Qian‐Hao Zhu, Fei Fu and Yongliang Lu. Their work appears in journals such as BMC Genomics, Life, Planta, Nature Communications and Big Data Mining and Analytics.
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.