Guang‐Ning Ye
Impact in
- Biotechnology top 1%
- Transgenic Plants and Applications
Papers in
-
- Plant tissue culture and regeneration 8
- CRISPR and Genetic Engineering 3
-
- Genetically Modified Organisms Research 2
- Horticultural and Viticultural Research 1
- Plant Molecular Biology Research 1
- Plant nutrient uptake and metabolism 1
- Co-authors
- N. F. Weeden (1 shared paper)Bruce I. Reisch (1 shared paper)Muhammad Arif Lodhi (1 shared paper)Peter T. J. Hajdukiewicz (4 shared papers)Jeffrey M. Staub (4 shared papers)John C. Sanford (3 shared papers)Narender S. Nehra (2 shared papers)Henry Daniell (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (2 papers)The Plant Journal (2 papers)Gene (1 paper)Plant Cell Reports (1 paper)Plant Molecular Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Guang‐Ning Ye
11 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Biotechnology 490
- Tourism, Leisure and Hospitality Management 56
- Plant Science 1.1k
- Horticulture 22
- Molecular Biology 1.2k
Countries citing papers authored by Guang‐Ning Ye
This map shows the geographic impact of Guang‐Ning Ye'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 Guang‐Ning Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang‐Ning Ye more than expected).
Fields of papers citing papers by Guang‐Ning Ye
This network shows the impact of papers produced by Guang‐Ning Ye. 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 Guang‐Ning Ye. The network helps show where Guang‐Ning Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Guang‐Ning Ye, 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 | A simple and efficient method for DNA extraction from grapevine cultivars andVitis species Hit paper breakdown → | 1994 | 876 |
| 2 | 2000 | 328 | |
| 3 | 2001 | 164 | |
| 4 | 1999 | 140 | |
| 5 | 1990 | 110 | |
| 6 | 1990 | 96 | |
| 7 | 2003 | 51 | |
| 8 | 2004 | 21 | |
| 9 | 1992 | 13 | |
| 10 | 2023 | 8 | |
| 11 | 1991 | 7 |
About Guang‐Ning Ye
Guang‐Ning Ye is a scholar working on Molecular Biology, Plant Science, Biotechnology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Transgenic Plants and Applications (4 papers), CRISPR and Genetic Engineering (3 papers), Genetically Modified Organisms Research (2 papers), Horticultural and Viticultural Research (1 paper), Plant Molecular Biology Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Biotechnology (490 citations), Tourism, Leisure and Hospitality Management (56 citations), Plant Science (1.1k citations), Horticulture (22 citations) and Molecular Biology (1.2k citations). Guang‐Ning Ye has collaborated with scholars based in United States and China. Frequent co-authors include N. F. Weeden, Bruce I. Reisch, Muhammad Arif Lodhi, Peter T. J. Hajdukiewicz, Jeffrey M. Staub, John C. Sanford, Narender S. Nehra, Henry Daniell, Sheng‐Zhi Pang and James A. Carroll. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Journal, Gene, Plant Cell Reports and Plant Molecular Biology.
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.