Xingang Wang
- Molecular Biology top 5%
- Plant Science top 1%
- Organic Chemistry top 5%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- Jian‐Kang ZhuPengcheng WangCheng‐Guo DuanYueh‐Ju HouYang ZhaoPhilip W. InghamZachary B. LippmanKai Tang
- Topics
- Plant Molecular Biology Research (15 papers)Catalytic C–H Functionalization Methods (7 papers)Plant nutrient uptake and metabolism (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xingang Wang
46 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.5k
- Plant Science 1.5k
- Organic Chemistry 349
- Genetics 238
- Cancer Research 201
Countries citing papers authored by Xingang Wang
This map shows the geographic impact of Xingang Wang'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 Xingang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingang Wang more than expected).
Fields of papers citing papers by Xingang Wang
This network shows the impact of papers produced by Xingang Wang. 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 Xingang Wang. The network helps show where Xingang Wang may publish in the future.
Co-authorship network of co-authors of Xingang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xingang Wang. A scholar is included among the top collaborators of Xingang Wang 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 Xingang Wang. Xingang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 39 | |
| 3 | Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editingbreakdown → | 397 |
| 4 | 16 | |
| 5 | 94 | |
| 6 | 44 | |
| 7 | 77 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 66 | |
| 11 | 46 | |
| 12 | Reciprocal Regulation of the TOR Kinase and ABA Receptor Balances Plant Growth and Stress Responsebreakdown → | 401 |
| 13 | 5 | |
| 14 | 78 | |
| 15 | 16 | |
| 16 | 102 | |
| 17 | 34 | |
| 18 | 86 | |
| 19 | 9 | |
| 20 | 1 |
About Xingang Wang
Xingang Wang is a scholar working on Plant Science, Molecular Biology and Cancer Research, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (15 papers), Catalytic C–H Functionalization Methods (7 papers) and Plant nutrient uptake and metabolism (6 papers). The work is most often cited by research in Plant Science (1.5k citations), Molecular Biology (1.5k citations) and Cancer Research (201 citations). Xingang Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jian‐Kang Zhu, Pengcheng Wang, Cheng‐Guo Duan, Yueh‐Ju Hou, Yang Zhao, Philip W. Ingham, Zachary B. Lippman, Kai Tang, Yong‐Min Liang and Yuke Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids 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.