Ranran Gao
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Xueda HuZemin ZhangXianwen RenYuanyuan ZhangLiangtao ZhengQiming ZhangZhaode BuBaocai Xing
- Topics
- Cancer Immunotherapy and Biomarkers (10 papers)Single-cell and spatial transcriptomics (6 papers)Immune cells in cancer (5 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Ranran Gao
16 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 2.7k
- Oncology 2.6k
- Molecular Biology 2.0k
- Cancer Research 820
- Pulmonary and Respiratory Medicine 571
Countries citing papers authored by Ranran Gao
This map shows the geographic impact of Ranran Gao'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 Ranran Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranran Gao more than expected).
Fields of papers citing papers by Ranran Gao
This network shows the impact of papers produced by Ranran Gao. 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 Ranran Gao. The network helps show where Ranran Gao may publish in the future.
Co-authorship network of co-authors of Ranran Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Ranran Gao. A scholar is included among the top collaborators of Ranran Gao 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 Ranran Gao. Ranran Gao 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 | 2 | |
| 3 | 11 | |
| 4 | Immune phenotypic linkage between colorectal cancer and liver metastasisbreakdown → | 263 |
| 5 | Pan-cancer single-cell landscape of tumor-infiltrating T cellsbreakdown → | 699 |
| 6 | Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancerbreakdown → | 434 |
| 7 | A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cellsbreakdown → | 820 |
| 8 | Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancerbreakdown → | 253 |
| 9 | 27 | |
| 10 | 97 | |
| 11 | 68 | |
| 12 | 3 | |
| 13 | Global characterization of T cells in non-small-cell lung cancer by single-cell sequencingbreakdown → | 990 |
| 14 | Lineage tracking reveals dynamic relationships of T cells in colorectal cancerbreakdown → | 814 |
| 15 | 2 | |
| 16 | 17 |
About Ranran Gao
Ranran Gao is a scholar working on Immunology, Oncology and Cancer Research, having authored 16 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Single-cell and spatial transcriptomics (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (2.7k citations), Oncology (2.6k citations) and Cancer Research (820 citations). Ranran Gao has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xueda Hu, Zemin Zhang, Xianwen Ren, Yuanyuan Zhang, Liangtao Zheng, Qiming Zhang, Zhaode Bu, Baocai Xing, Boxi Kang and Shishang Qin. Their work appears in journals such as Nature, Science and 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.