Boxi Kang
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Single-cell and spatial transcriptomics 6
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 2
- Co-authors
- Zemin Zhang (5 shared papers)Zefang Tang (2 shared papers)Chenwei Li (2 shared papers)Ge Gao (1 shared paper)Cheng Li (1 shared paper)Tianxiang Chen (1 shared paper)Xueda Hu (5 shared papers)Qiming Zhang (4 shared papers)
- Journals
- Genome biology (3 papers)The Journal of Experimental Medicine (3 papers)Nucleic Acids Research (2 papers)Nature Communications (1 paper)Nature Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Boxi Kang
15 papers receiving 14.4k citations
Boxi Kang's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 3.5k
- Oncology 3.7k
- Immunology 2.9k
- Molecular Biology 7.3k
- Pulmonary and Respiratory Medicine 2.8k
Countries citing papers authored by Boxi Kang
This map shows the geographic impact of Boxi Kang'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 Boxi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxi Kang more than expected).
Fields of papers citing papers by Boxi Kang
This network shows the impact of papers produced by Boxi Kang. 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 Boxi Kang. The network helps show where Boxi Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxi Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses Hit paper breakdown → | 2017 | 7280 |
| 2 | GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis Hit paper breakdown → | 2019 | 3255 |
| 3 | Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing Hit paper breakdown → | 2017 | 1440 |
| 4 | Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing Hit paper breakdown → | 2018 | 1035 |
| 5 | Lineage tracking reveals dynamic relationships of T cells in colorectal cancer Hit paper breakdown → | 2018 | 880 |
| 6 | 2018 | 151 | |
| 7 | 2020 | 101 | |
| 8 | 2019 | 99 | |
| 9 | 2022 | 68 | |
| 10 | 2019 | 55 | |
| 11 | 2022 | 36 | |
| 12 | 2021 | 25 | |
| 13 | 2019 | 21 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 11 |
About Boxi Kang
Boxi Kang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Infectious Diseases, having authored 15 papers that have together received 14.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Cancer Research (3.5k citations), Oncology (3.7k citations), Immunology (2.9k citations), Molecular Biology (7.3k citations) and Pulmonary and Respiratory Medicine (2.8k citations). Boxi Kang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zemin Zhang, Zefang Tang, Chenwei Li, Ge Gao, Cheng Li, Tianxiang Chen, Xueda Hu, Qiming Zhang, Liangtao Zheng and Yuanyuan Zhang. Their work appears in journals such as Genome biology, The Journal of Experimental Medicine, Nucleic Acids Research, Nature Communications and Nature Medicine.
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.