Xiaoming Tan
- Molecular Biology top 10%
- Renewable Energy, Sustainability and the Environment top 2%
- Biomedical Engineering top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecology top 10%
- Co-authors
- Xuefeng LüZhimin LiLun YaoHui ZhaoFengxia QiW. DuYangkai DuanYajing Liang
- Topics
- Algal biology and biofuel production (28 papers)Photosynthetic Processes and Mechanisms (22 papers)Microbial Metabolic Engineering and Bioproduction (18 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentMolecular BiologyEcology, Evolution, Behavior and Systematics
- Partner nations
- ChinaGermanyNetherlands
In The Last Decade
Xiaoming Tan
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.3k
- Renewable Energy, Sustainability and the Environment 909
- Biomedical Engineering 280
- Ecology, Evolution, Behavior and Systematics 190
- Ecology 184
Countries citing papers authored by Xiaoming Tan
This map shows the geographic impact of Xiaoming 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 Xiaoming Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Tan more than expected).
Fields of papers citing papers by Xiaoming Tan
This network shows the impact of papers produced by Xiaoming 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 Xiaoming Tan. The network helps show where Xiaoming Tan may publish in the future.
Co-authorship network of co-authors of Xiaoming Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Tan. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Tan. Xiaoming 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 | 5 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 30 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 27 | |
| 11 | 21 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | 50 | |
| 15 | 4 | |
| 16 | 31 | |
| 17 | 160 | |
| 18 | Anatomy studies on the root nodules of endangered medicinal plants Dalbergia odorifera. | 0 |
| 19 | Survey of wild germplasm of Zanthoxylum nitidum in Guangxi | 2 |
| 20 | Microstructure and endophytic fungus distribution of the root of Paris polyphylla | 1 |
About Xiaoming Tan
Xiaoming Tan is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Cell Biology, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Algal biology and biofuel production (28 papers), Photosynthetic Processes and Mechanisms (22 papers) and Microbial Metabolic Engineering and Bioproduction (18 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (909 citations), Molecular Biology (1.3k citations) and Ecology, Evolution, Behavior and Systematics (190 citations). Xiaoming Tan has collaborated with scholars based in China, Germany and Netherlands. Frequent co-authors include Xuefeng Lü, Zhimin Li, Lun Yao, Hui Zhao, Fengxia Qi, W. Du, Yangkai Duan, Yajing Liang, Qianqian Gao and Feiyan Liang. Their work appears in journals such as Nucleic Acids Research, Energy & Environmental Science and PLoS ONE.
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.