Bin‐Zhi Qian
- Immunology top 0.2%
- Oncology top 0.5%
- Molecular Biology top 2%
- Cancer Research top 1%
- Biomedical Engineering top 5%
- Co-authors
- Jeffrey W. PollardTakanori KitamuraRuoyu MaJiufeng LiAnnabel BlackRichard A. LangLuca CassettaDaniel Soong
- Topics
- Immune cells in cancer (18 papers)Cancer Cells and Metastasis (8 papers)Epigenetics and DNA Methylation (6 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Bin‐Zhi Qian
38 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 4.7k
- Oncology 3.9k
- Molecular Biology 3.1k
- Cancer Research 1.5k
- Biomedical Engineering 882
Countries citing papers authored by Bin‐Zhi Qian
This map shows the geographic impact of Bin‐Zhi Qian'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 Bin‐Zhi Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin‐Zhi Qian more than expected).
Fields of papers citing papers by Bin‐Zhi Qian
This network shows the impact of papers produced by Bin‐Zhi Qian. 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 Bin‐Zhi Qian. The network helps show where Bin‐Zhi Qian may publish in the future.
Co-authorship network of co-authors of Bin‐Zhi Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Bin‐Zhi Qian. A scholar is included among the top collaborators of Bin‐Zhi Qian 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 Bin‐Zhi Qian. Bin‐Zhi Qian 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | Macrophage diversity in cancer revisited in the era of single-cell omicsbreakdown → | 353 |
| 9 | 115 | |
| 10 | 145 | |
| 11 | 56 | |
| 12 | 45 | |
| 13 | Perivascular M2 Macrophages Stimulate Tumor Relapse after Chemotherapybreakdown → | 399 |
| 14 | 143 | |
| 15 | 39 | |
| 16 | 95 | |
| 17 | 38 | |
| 18 | 122 | |
| 19 | A Distinct Macrophage Population Mediates Metastatic Breast Cancer Cell Extravasation, Establishment and Growthbreakdown → | 540 |
| 20 | 48 |
About Bin‐Zhi Qian
Bin‐Zhi Qian is a scholar working on Immunology, Oncology and Cancer Research, having authored 41 papers that have together received 8.4k indexed citations. Recurring topics across this work include Immune cells in cancer (18 papers), Cancer Cells and Metastasis (8 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Immunology (4.7k citations), Oncology (3.9k citations) and Cancer Research (1.5k citations). Bin‐Zhi Qian has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Jeffrey W. Pollard, Takanori Kitamura, Ruoyu Ma, Jiufeng Li, Annabel Black, Richard A. Lang, Luca Cassetta, Daniel Soong, Jae Hong Im and Yiyu Zou. Their work appears in journals such as Cell, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.