Xiaojun Tang
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Pharmaceutical Science top 0.2%
- Oncology top 5%
- Immunology top 5%
- Co-authors
- William R. DolbierCharles S. ThomosonZuxiao ZhangLingyun SunGenhong YaoZhuoya ZhangXuebing FengJin Zhu
- Topics
- Systemic Lupus Erythematosus Research (17 papers)Mesenchymal stem cell research (16 papers)Fluorine in Organic Chemistry (12 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaojun Tang
145 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.3k
- Organic Chemistry 1.1k
- Pharmaceutical Science 945
- Oncology 770
- Immunology 704
Countries citing papers authored by Xiaojun Tang
This map shows the geographic impact of Xiaojun 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 Xiaojun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Tang more than expected).
Fields of papers citing papers by Xiaojun Tang
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Tang. The network helps show where Xiaojun Tang may publish in the future.
Co-authorship network of co-authors of Xiaojun Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Tang. A scholar is included among the top collaborators of Xiaojun 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 Xiaojun Tang. Xiaojun 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 29 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | Optimization of de-coloration technology for polysaccharides from longan pulp. | 3 |
| 17 | Optimization of ultrasonic-enzyme-assisted extraction technology of polysaccharides from longan pulp. | 7 |
| 18 | Study on optimal hydrolysis process for preparing rice bran short peptides with two enzymes. | 5 |
| 19 | Study on the decolorization of polysaccharides from Litchi fruit with active carbon | 1 |
| 20 | 7 |
About Xiaojun Tang
Xiaojun Tang is a scholar working on Pharmaceutical Science, Genetics and Immunology, having authored 151 papers that have together received 4.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (17 papers), Mesenchymal stem cell research (16 papers) and Fluorine in Organic Chemistry (12 papers). The work is most often cited by research in Pharmaceutical Science (945 citations), Cancer Research (594 citations) and Organic Chemistry (1.1k citations). Xiaojun Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include William R. Dolbier, Charles S. Thomoson, Zuxiao Zhang, Lingyun Sun, Genhong Yao, Zhuoya Zhang, Xuebing Feng, Jin Zhu, Dandan Wang and Yuan Mao. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.
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.