Zan Shen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Bone health and treatments
Papers in
-
- Sarcoma Diagnosis and Treatment 28
- Lung Cancer Treatments and Mutations 10
- Oncology 35
- Vascular Tumors and Angiosarcomas 5
- Co-authors
- Yang Yao (67 shared papers)Wei‐Xiang Qi (40 shared papers)Lina Tang (47 shared papers)Aina He (37 shared papers)Yuanjue Sun (28 shared papers)Feng Lin (20 shared papers)Daliu Min (22 shared papers)Wenxi Yu (19 shared papers)
- Journals
- PLoS ONE (5 papers)British Journal of Clinical Pharmacology (4 papers)Medical Oncology (3 papers)BMC Cancer (3 papers)Cancer Letters (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zan Shen
135 papers receiving 3.7k citations
Zan Shen's Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 625
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 875
- Immunology 368
- Molecular Biology 1.2k
Countries citing papers authored by Zan Shen
This map shows the geographic impact of Zan Shen'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 Zan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zan Shen more than expected).
Fields of papers citing papers by Zan Shen
This network shows the impact of papers produced by Zan Shen. 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 Zan Shen. The network helps show where Zan Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zan Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma Hit paper breakdown → | 2020 | 467 |
| 2 | 2013 | 168 | |
| 3 | 2012 | 124 | |
| 4 | 2013 | 103 | |
| 5 | 2020 | 92 | |
| 6 | 2012 | 86 | |
| 7 | 2008 | 84 | |
| 8 | 2012 | 79 | |
| 9 | 2014 | 77 | |
| 10 | 2012 | 75 | |
| 11 | 2016 | 74 | |
| 12 | 2014 | 68 | |
| 13 | 2014 | 63 | |
| 14 | 2015 | 61 | |
| 15 | 2011 | 61 | |
| 16 | 2013 | 60 | |
| 17 | 2006 | 58 | |
| 18 | 2014 | 53 | |
| 19 | 2011 | 53 | |
| 20 | 2014 | 49 |
About Zan Shen
Zan Shen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 135 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (28 papers), Lung Cancer Treatments and Mutations (10 papers), MicroRNA in disease regulation (6 papers), Immune Cell Function and Interaction (5 papers), Vascular Tumors and Angiosarcomas (5 papers), Cancer-related molecular mechanisms research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Management of metastatic bone disease (5 papers). The work is most often cited by research in Cancer Research (625 citations), Oncology (1.1k citations), Pulmonary and Respiratory Medicine (875 citations), Immunology (368 citations) and Molecular Biology (1.2k citations). Zan Shen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yang Yao, Wei‐Xiang Qi, Lina Tang, Aina He, Yuanjue Sun, Feng Lin, Daliu Min, Wenxi Yu, Yujing Huang and Yang Yao. Their work appears in journals such as PLoS ONE, British Journal of Clinical Pharmacology, Medical Oncology, BMC Cancer and Cancer Letters.
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.