Chaorong Tang
- Molecular Biology top 10%
- Plant Science top 5%
- Biomedical Engineering
- Nutrition and Dietetics
- Genetics
- Topics
- Plant biochemistry and biosynthesis (32 papers)Plant Gene Expression Analysis (18 papers)Plant Molecular Biology Research (9 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Chaorong Tang
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 742
- Plant Science 644
- Biomedical Engineering 54
- Nutrition and Dietetics 40
- Genetics 37
Countries citing papers authored by Chaorong Tang
This map shows the geographic impact of Chaorong Tang'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 Chaorong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaorong Tang more than expected).
Fields of papers citing papers by Chaorong Tang
This network shows the impact of papers produced by Chaorong Tang. 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 Chaorong Tang. The network helps show where Chaorong Tang may publish in the future.
Co-authorship network of co-authors of Chaorong Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Chaorong Tang. A scholar is included among the top collaborators of Chaorong Tang 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 Chaorong Tang. Chaorong Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 24 | |
| 13 | 27 | |
| 14 | Cloning and expression analysis of cysteine proteinase genes (HbCP2 and HbCP3) from para rubber tree (Hevea brasiliensis). | 2 |
| 15 | Comparative Study on the Seasonal Variation of Latex Physiological Characters from three Hevea Clone | 1 |
| 16 | 36 | |
| 17 | An Improved Promoter-cloning Method Based on Adaptor-PCR and Its Application in Rubber Tree | 3 |
| 18 | [Screening and molecular identification of phosphate-solubilizing bacteria in rhizosphere soils in Hainan ecosystem]. | 1 |
| 19 | 10 | |
| 20 | Species of ice nucleation active bacteria on the apricot and the relationship between their activity and flower frost. | 2 |
About Chaorong Tang
Chaorong Tang is a scholar working on Forestry, Plant Science and Biochemistry, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (32 papers), Plant Gene Expression Analysis (18 papers) and Plant Molecular Biology Research (9 papers). The work is most often cited by research in Plant Science (644 citations), Molecular Biology (742 citations) and Horticulture (7 citations). Chaorong Tang has collaborated with scholars based in China, France and United States. Frequent co-authors include Jiyan Qi, Xiaohu Xiao, Heping Li, Yongjun Fang, Yunxia Qin, Binhui Zhou, Xiangyu Long, Cunliang Zhang, Yuekun Wang and Songnian Hu. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.
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.