Baolin Liu
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Single-cell and spatial transcriptomics (5 papers)Cancer Immunotherapy and Biomarkers (5 papers)Cancer Genomics and Diagnostics (3 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- CellNature CommunicationsCancer Cell
- Partner nations
- ChinaUnited States
In The Last Decade
Baolin Liu
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 794
- Oncology 717
- Immunology 655
- Cancer Research 235
- Pulmonary and Respiratory Medicine 145
Countries citing papers authored by Baolin Liu
This map shows the geographic impact of Baolin Liu'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 Baolin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolin Liu more than expected).
Fields of papers citing papers by Baolin Liu
This network shows the impact of papers produced by Baolin Liu. 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 Baolin Liu. The network helps show where Baolin Liu may publish in the future.
Co-authorship network of co-authors of Baolin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Baolin Liu. A scholar is included among the top collaborators of Baolin Liu 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 Baolin Liu. Baolin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distinct cellular mechanisms underlie chemotherapies and PD-L1 blockade combinations in triple-negative breast cancerbreakdown → | 25 |
| 2 | 10 | |
| 3 | Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancerbreakdown → | 62 |
| 4 | 12 | |
| 5 | 51 | |
| 6 | 34 | |
| 7 | Single-cell meta-analyses reveal responses of tumor-reactive CXCL13+ T cells to immune-checkpoint blockadebreakdown → | 154 |
| 8 | Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancerbreakdown → | 434 |
| 9 | 39 | |
| 10 | Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancerbreakdown → | 253 |
| 11 | 95 | |
| 12 | 99 | |
| 13 | 60 | |
| 14 | 52 | |
| 15 | 52 | |
| 16 | 67 | |
| 17 | 42 | |
| 18 | 114 | |
| 19 | 1 |
About Baolin Liu
Baolin Liu is a scholar working on Cancer Research, Immunology and Oncology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Immunology (655 citations), Oncology (717 citations) and Cancer Research (235 citations). Baolin Liu has collaborated with scholars based in China and United States. Frequent co-authors include Zemin Zhang, Yuanyuan Zhang, Xueda Hu, Dongfang Wang, Ranran Gao, Zemin Zhang, Xianwen Ren, Zhihua Liu, Hongnan Mo and Hongyan Chen. Their work appears in journals such as Cell, Nature Communications and Cancer Cell.
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.