Guo-Ling Nan
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
- Plant nutrient uptake and metabolism
- Molecular Biology top 10%
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
Papers in
-
- Plant tissue culture and regeneration 8
- Plant Reproductive Biology 6
- CRISPR and Genetic Engineering 5
- Photosynthetic Processes and Mechanisms 2
-
- Chromosomal and Genetic Variations 8
- Plant Molecular Biology Research 7
- Plant Virus Research Studies 2
- Co-authors
- Virginia Walbot (12 shared papers)John Fernandes (5 shared papers)Blake C. Meyers (3 shared papers)Jixian Zhai (2 shared papers)Siwaret Arikit (2 shared papers)Han Zhang (2 shared papers)Kun Huang (1 shared paper)Cameron Johnson (1 shared paper)
- Journals
- The Plant Cell (3 papers)Development (2 papers)BMC Plant Biology (1 paper)Genome biology (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Guo-Ling Nan
15 papers receiving 930 citations
Peers
Comparison fields: 5 of 36
- Plant Science 864
- Molecular Biology 718
- Biotechnology 32
- Endocrinology 17
- Ecology, Evolution, Behavior and Systematics 47
Countries citing papers authored by Guo-Ling Nan
This map shows the geographic impact of Guo-Ling Nan'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 Guo-Ling Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo-Ling Nan more than expected).
Fields of papers citing papers by Guo-Ling Nan
This network shows the impact of papers produced by Guo-Ling Nan. 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 Guo-Ling Nan. The network helps show where Guo-Ling Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo-Ling Nan, 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 | 2009 | 242 | |
| 2 | 2015 | 241 | |
| 3 | 2012 | 100 | |
| 4 | 2016 | 73 | |
| 5 | 2001 | 73 | |
| 6 | 2004 | 55 | |
| 7 | 2014 | 33 | |
| 8 | 2022 | 29 | |
| 9 | 2011 | 28 | |
| 10 | 1997 | 25 | |
| 11 | 1995 | 22 | |
| 12 | 2009 | 15 | |
| 13 | 2009 | 8 | |
| 14 | 2001 | 4 | |
| 15 | 2009 | 3 |
About Guo-Ling Nan
Guo-Ling Nan is a scholar working on Molecular Biology, Plant Science, Biotechnology, Pharmacology and Genetics, having authored 15 papers that have together received 951 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Plant tissue culture and regeneration (8 papers), Plant Molecular Biology Research (7 papers), Plant Reproductive Biology (6 papers), CRISPR and Genetic Engineering (5 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant Virus Research Studies (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Plant Science (864 citations), Molecular Biology (718 citations), Biotechnology (32 citations), Endocrinology (17 citations) and Ecology, Evolution, Behavior and Systematics (47 citations). Guo-Ling Nan has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Virginia Walbot, John Fernandes, Blake C. Meyers, Jixian Zhai, Siwaret Arikit, Han Zhang, Kun Huang, Cameron Johnson, Venkatesan Sundaresan and Lewis Bowman. Their work appears in journals such as The Plant Cell, Development, BMC Plant Biology, Genome biology and Genome Research.
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.