Baoxia Dong
- Molecular Biology
- Immunology top 10%
- Oncology
- Hematology top 5%
- Cell Biology top 10%
- Co-authors
- Katherine A. SiminovitchXiequn ChenJinyi ZhangGuangxun GaoHongjuan DongHongtao GuYing GaoLiang Chen
- Topics
- Multiple Myeloma Research and Treatments (5 papers)Viral-associated cancers and disorders (5 papers)Immune Cell Function and Interaction (5 papers)
- Journals
- Nature GeneticsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Baoxia Dong
38 papers receiving 944 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 470
- Immunology 327
- Oncology 185
- Hematology 159
- Cell Biology 134
Countries citing papers authored by Baoxia Dong
This map shows the geographic impact of Baoxia Dong'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 Baoxia Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxia Dong more than expected).
Fields of papers citing papers by Baoxia Dong
This network shows the impact of papers produced by Baoxia Dong. 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 Baoxia Dong. The network helps show where Baoxia Dong may publish in the future.
Co-authorship network of co-authors of Baoxia Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxia Dong. A scholar is included among the top collaborators of Baoxia Dong 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 Baoxia Dong. Baoxia Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 33 | |
| 3 | 120 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 19 | |
| 10 | 77 | |
| 11 | 196 | |
| 12 | 36 | |
| 13 | 80 | |
| 14 | 15 | |
| 15 | 57 | |
| 16 | 15 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | [Inhibition of proliferation and induction of apoptosis and differentiation of leukemic cell line HL-60 by sodium valproate]. | 3 |
| 20 | [Functional assessment of infiltrating immunocytes in patients with primary hepatocellular carcinoma after percutaneous microwave coagulation therapy]. | 1 |
About Baoxia Dong
Baoxia Dong is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 39 papers that have together received 951 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Viral-associated cancers and disorders (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (327 citations), Hematology (159 citations) and Immunology and Allergy (62 citations). Baoxia Dong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Katherine A. Siminovitch, Xiequn Chen, Jinyi Zhang, Guangxun Gao, Hongjuan Dong, Hongtao Gu, Ying Gao, Liang Chen, Frank Qiu and Alan C. Peterson. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.