Baoxiang Guan
- Molecular Biology
- Oncology top 5%
- Immunology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Padmanee SharmaShi‐Yong SunPing YueSumit K. SubudhiShiping JiaoYuji MiuraZhongqi GeXiaochun Xu
- Topics
- Inflammatory mediators and NSAID effects (6 papers)Cancer Immunotherapy and Biomarkers (5 papers)Cell death mechanisms and regulation (3 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Partner nations
- United StatesChinaSweden
In The Last Decade
Baoxiang Guan
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 588
- Oncology 537
- Immunology 335
- Cancer Research 308
- Pulmonary and Respiratory Medicine 156
Countries citing papers authored by Baoxiang Guan
This map shows the geographic impact of Baoxiang Guan'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 Baoxiang Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxiang Guan more than expected).
Fields of papers citing papers by Baoxiang Guan
This network shows the impact of papers produced by Baoxiang Guan. 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 Baoxiang Guan. The network helps show where Baoxiang Guan may publish in the future.
Co-authorship network of co-authors of Baoxiang Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Guan. A scholar is included among the top collaborators of Baoxiang Guan 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 Baoxiang Guan. Baoxiang Guan 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 | 8 | |
| 3 | 1 | |
| 4 | 92 | |
| 5 | 35 | |
| 6 | 277 | |
| 7 | 81 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | Comparable molecular alterations in 4-nitroquinoline 1-oxide-induced oral and esophageal cancer in mice and in human esophageal cancer, associated with poor prognosis of patients. | 31 |
| 11 | 65 | |
| 12 | 61 | |
| 13 | 5 | |
| 14 | 143 | |
| 15 | 6 | |
| 16 | Characterization of retinoid receptor-induced gene-1 gene and its relationship to SH3 domain GRB2-like endophilin B2 gene | 1 |
| 17 | 50 | |
| 18 | 78 | |
| 19 | 58 | |
| 20 | 113 |
About Baoxiang Guan
Baoxiang Guan is a scholar working on Toxicology, Applied Microbiology and Biotechnology and Oncology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Cancer Research (308 citations), Oncology (537 citations) and Immunology (335 citations). Baoxiang Guan has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Padmanee Sharma, Shi‐Yong Sun, Ping Yue, Sumit K. Subudhi, Shiping Jiao, Yuji Miura, Zhongqi Ge, Xiaochun Xu, Ana M. Aparicio and Ashraful Hoque. Their work appears in journals such as Cell, 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.