Xiaojia Tang
- Molecular Biology top 10%
- Cancer Research top 10%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Krishna R. KalariYiping ZhaoJean‐Pierre KocherAsha NairRichard A. DluhyS. B. ChaneyYongjun LiuSaratchandra Shanmukh
- Topics
- Cancer-related molecular mechanisms research (6 papers)Cancer Genomics and Diagnostics (5 papers)RNA modifications and cancer (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xiaojia Tang
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 813
- Cancer Research 251
- Biomedical Engineering 208
- Electronic, Optical and Magnetic Materials 203
- Radiology, Nuclear Medicine and Imaging 157
Countries citing papers authored by Xiaojia Tang
This map shows the geographic impact of Xiaojia 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 Xiaojia Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojia Tang more than expected).
Fields of papers citing papers by Xiaojia Tang
This network shows the impact of papers produced by Xiaojia 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 Xiaojia Tang. The network helps show where Xiaojia Tang may publish in the future.
Co-authorship network of co-authors of Xiaojia Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojia Tang. A scholar is included among the top collaborators of Xiaojia 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 Xiaojia Tang. Xiaojia 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 | 4 | |
| 2 | 54 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | 64 | |
| 16 | 134 | |
| 17 | 106 | |
| 18 | 35 | |
| 19 | 231 | |
| 20 | Optical imaging technique applied in biological tissue and feasible technique | 1 |
About Xiaojia Tang
Xiaojia Tang is a scholar working on Cancer Research, Molecular Biology and Neurology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cancer Genomics and Diagnostics (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (251 citations), Surfaces, Coatings and Films (88 citations) and Molecular Biology (813 citations). Xiaojia Tang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Krishna R. Kalari, Yiping Zhao, Jean‐Pierre Kocher, Asha Nair, Richard A. Dluhy, S. B. Chaney, Yongjun Liu, Saratchandra Shanmukh, Jeremy D. Driskell and Kevin J. Thompson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.