Weining Gu
Impact in
- Molecular Biology top 10%
- Plant tissue culture and regeneration
- CRISPR and Genetic Engineering
- Plant Science top 5%
- Genetically Modified Organisms Research
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Plant Virus Research Studies
Papers in
-
- Plant tissue culture and regeneration 5
- CRISPR and Genetic Engineering 3
-
- Genetically Modified Organisms Research 2
- Plant Virus Research Studies 1
- Sugarcane Cultivation and Processing 1
- Co-authors
- Heidi F. Kaeppler (3 shared papers)David A. Somers (3 shared papers)H. W. Rines (2 shared papers)Qiudeng Que (4 shared papers)Timothy Kelliher (2 shared papers)William R. Bushnell (1 shared paper)Andrew Cockburn (1 shared paper)Shujie Dong (3 shared papers)
- Journals
- Nature Biotechnology (2 papers)Frontiers in Plant Science (1 paper)European Journal of Plant Pathology (1 paper)Plant Cell Reports (1 paper)Molecular Breeding (1 paper)
- Partner nations
- United States
In The Last Decade
Weining Gu
9 papers receiving 755 citations
Peers
Comparison fields: 5 of 29
- Molecular Biology 584
- Plant Science 363
- Biotechnology 30
- Agronomy and Crop Science 32
- Genetics 40
Countries citing papers authored by Weining Gu
This map shows the geographic impact of Weining Gu'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 Weining Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weining Gu more than expected).
Fields of papers citing papers by Weining Gu
This network shows the impact of papers produced by Weining Gu. 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 Weining Gu. The network helps show where Weining Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weining Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 295 | |
| 2 | 2002 | 149 | |
| 3 | 1990 | 112 | |
| 4 | 1992 | 111 | |
| 5 | 2014 | 75 | |
| 6 | 1997 | 50 | |
| 7 | 2021 | 27 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 7 | |
| 10 | 2025 | 0 |
About Weining Gu
Weining Gu is a scholar working on Molecular Biology, Plant Science, Biotechnology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 840 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (5 papers), CRISPR and Genetic Engineering (3 papers), Genetically Modified Organisms Research (2 papers), Plant Virus Research Studies (1 paper), Transgenic Plants and Applications (1 paper) and Sugarcane Cultivation and Processing (1 paper). The work is most often cited by research in Molecular Biology (584 citations), Plant Science (363 citations), Biotechnology (30 citations), Agronomy and Crop Science (32 citations) and Genetics (40 citations). Weining Gu has collaborated with scholars based in United States. Frequent co-authors include Heidi F. Kaeppler, David A. Somers, H. W. Rines, Qiudeng Que, Timothy Kelliher, William R. Bushnell, Andrew Cockburn, Shujie Dong, Xiujuan Su and Yuejin Sun. Their work appears in journals such as Nature Biotechnology, Frontiers in Plant Science, European Journal of Plant Pathology, Plant Cell Reports and Molecular Breeding.
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.