Jing Tan
- Plant Science top 5%
- Genetics top 5%
- Molecular Biology
- Insect Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Manjit S. KangXingming FanYudong ZhangHongmei ChenKarabi DattaMayank RaiSwapan K. DattaNorman Oliva
- Topics
- Genetics and Plant Breeding (11 papers)Genetic Mapping and Diversity in Plants and Animals (10 papers)Genetic and phenotypic traits in livestock (4 papers)
- Cited by
- Plant ScienceGeneticsInsect Science
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Jing Tan
35 papers receiving 977 citations
Peers
Comparison fields: 5 of 71
- Plant Science 743
- Genetics 441
- Molecular Biology 243
- Insect Science 177
- Ecology, Evolution, Behavior and Systematics 153
Countries citing papers authored by Jing Tan
This map shows the geographic impact of Jing 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 Jing Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Tan more than expected).
Fields of papers citing papers by Jing Tan
This network shows the impact of papers produced by Jing 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 Jing Tan. The network helps show where Jing Tan may publish in the future.
Co-authorship network of co-authors of Jing Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Tan. A scholar is included among the top collaborators of Jing Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Tan. Jing Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 25 | |
| 3 | 41 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 29 | |
| 7 | 44 | |
| 8 | IMPROVING GRAIN YIELD AND YIELD COMPONENTS VIA BACKCROSS PROCEDURE | 7 |
| 9 | Screening of Maize Hybrids and Identifying of Selecting Indicator for Drought Tolerance | 1 |
| 10 | Heterotic grouping of 27 maize inbred lined divided by simple sequence repeats (SSR) markers and yields. | 1 |
| 11 | 45 | |
| 12 | 29 | |
| 13 | Improved 'golden' indica rice and post-transgeneration enhancement of metabolic target products of carotenoids (b-carotene) in transgenic elite cultivars (IR64 and BR29) | 20 |
| 14 | Analysis of yield combining ability of subtropical tropical quality protein maize inbred line and temperate normal maize inbred line | 3 |
| 15 | 18 | |
| 16 | 37 | |
| 17 | Combining ability and heterotic grouping of ten temperate, subtropical and tropical quality protein maize inbreds [Zea mays L.] | 16 |
| 18 | 109 | |
| 19 | Analyses of Combining Ability and Heterotic Group of Yellow Grain Quality Protein Maize Inbreeds | 12 |
| 20 | 7 |
About Jing Tan
Jing Tan is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Plant Science (743 citations), Genetics (441 citations) and Insect Science (177 citations). Jing Tan has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Manjit S. Kang, Xingming Fan, Xingming Fan, Yudong Zhang, Hongmei Chen, Karabi Datta, Mayank Rai, Swapan K. Datta, Norman Oliva and Lina Torrizo. Their work appears in journals such as Nucleic Acids Research, The Science of The Total Environment and Molecular Ecology.
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.