Chor‐Tee Tan
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Plant Virus Research Studies
- Chromosomal and Genetic Variations
- Agronomy and Crop Science top 10%
- Bioenergy crop production and management
- Crop Yield and Soil Fertility
Papers in
-
- Wheat and Barley Genetics and Pathology 11
- Plant Disease Resistance and Genetics 6
- Plant Virus Research Studies 4
- Genetics and Plant Breeding 3
- Plant nutrient uptake and metabolism 1
- Plant pathogens and resistance mechanisms 1
-
- Bioenergy crop production and management 4
- Co-authors
- Liuling Yan (4 shared papers)Qingwu Xue (7 shared papers)Shuyu Liu (7 shared papers)Jackie C. Rudd (7 shared papers)Assaf Distelfeld (1 shared paper)Amir M. H. Ibrahim (6 shared papers)Jorge Dubcovsky (1 shared paper)Rebecca Nitcher (1 shared paper)
- Journals
- Crop Science (4 papers)Molecular Breeding (2 papers)Molecular Genetics and Genomics (1 paper)G3 Genes Genomes Genetics (1 paper)Euphytica (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Chor‐Tee Tan
11 papers receiving 361 citations
Peers
Comparison fields: 5 of 20
- Plant Science 349
- Agronomy and Crop Science 74
- Genetics 143
- Insect Science 18
- Endocrinology 7
Countries citing papers authored by Chor‐Tee Tan
This map shows the geographic impact of Chor‐Tee Tan'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 Chor‐Tee Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chor‐Tee Tan more than expected).
Fields of papers citing papers by Chor‐Tee Tan
This network shows the impact of papers produced by Chor‐Tee Tan. 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 Chor‐Tee Tan. The network helps show where Chor‐Tee Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chor‐Tee Tan, 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 | 2013 | 73 | |
| 2 | 2011 | 68 | |
| 3 | 2017 | 56 | |
| 4 | 2017 | 45 | |
| 5 | 2016 | 26 | |
| 6 | 2015 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2017 | 11 | |
| 11 | 2010 | 11 |
About Chor‐Tee Tan
Chor‐Tee Tan is a scholar working on Plant Science, Agronomy and Crop Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 369 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (11 papers), Plant Disease Resistance and Genetics (6 papers), Plant Virus Research Studies (4 papers), Bioenergy crop production and management (4 papers), Genetics and Plant Breeding (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant nutrient uptake and metabolism (1 paper) and Plant pathogens and resistance mechanisms (1 paper). The work is most often cited by research in Plant Science (349 citations), Agronomy and Crop Science (74 citations), Genetics (143 citations), Insect Science (18 citations) and Endocrinology (7 citations). Chor‐Tee Tan has collaborated with scholars based in United States and Israel. Frequent co-authors include Liuling Yan, Qingwu Xue, Shuyu Liu, Jackie C. Rudd, Assaf Distelfeld, Amir M. H. Ibrahim, Jorge Dubcovsky, Rebecca Nitcher, Shengfu Zhong and Steven S. Xu. Their work appears in journals such as Crop Science, Molecular Breeding, Molecular Genetics and Genomics, G3 Genes Genomes Genetics and Euphytica.
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.