Lan Yang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Immune cells in cancer
Papers in
- Immunology 14
- Immune cells in cancer 6
- Immunotherapy and Immune Responses 4
- Co-authors
- Yunzhao Chen (14 shared papers)Jianming Hu (16 shared papers)Xiaobin Cui (12 shared papers)Jin Zhao (6 shared papers)Chunxia Liu (11 shared papers)Yun Zhao Chen (4 shared papers)Xianglin Yuan (4 shared papers)Chun Xia Liu (6 shared papers)
- Journals
- Oncotarget (2 papers)Journal of Translational Medicine (2 papers)PLoS ONE (2 papers)Diagnostic Pathology (1 paper)Medicine (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lan Yang
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 213
- Immunology 197
- Oncology 177
- Molecular Biology 353
- Genetics 46
Countries citing papers authored by Lan Yang
This map shows the geographic impact of Lan Yang'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 Lan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yang more than expected).
Fields of papers citing papers by Lan Yang
This network shows the impact of papers produced by Lan Yang. 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 Lan Yang. The network helps show where Lan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Yang, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2015 | 65 | |
| 3 | 2015 | 56 | |
| 4 | 2014 | 46 | |
| 5 | 2016 | 44 | |
| 6 | 2020 | 43 | |
| 7 | 2016 | 38 | |
| 8 | 2013 | 38 | |
| 9 | Genetic variation in miR-100 rs1834306 is associated with decreased risk for esophageal squamous cell carcinoma in Kazakh patients in northwest China. | 2015 | 37 |
| 10 | 2017 | 35 | |
| 11 | 2009 | 31 | |
| 12 | 2014 | 30 | |
| 13 | 2013 | 30 | |
| 14 | 2012 | 30 | |
| 15 | 2016 | 30 | |
| 16 | Human papillomavirus infection correlates with inflammatory Stat3 signaling activity and IL-17 expression in patients with breast cancer. | 2016 | 29 |
| 17 | 2013 | 25 | |
| 18 | 2010 | 25 | |
| 19 | 2022 | 22 | |
| 20 | 2015 | 20 |
About Lan Yang
Lan Yang is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (7 papers), Immune cells in cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), MicroRNA in disease regulation (5 papers), Immunotherapy and Immune Responses (4 papers), Cervical Cancer and HPV Research (3 papers), Prenatal Screening and Diagnostics (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (213 citations), Immunology (197 citations), Oncology (177 citations), Molecular Biology (353 citations) and Genetics (46 citations). Lan Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunzhao Chen, Jianming Hu, Xiaobin Cui, Jin Zhao, Chunxia Liu, Yun Zhao Chen, Xianglin Yuan, Chun Xia Liu, Xiao Cui and Xue Li Wang. Their work appears in journals such as Oncotarget, Journal of Translational Medicine, PLoS ONE, Diagnostic Pathology and 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.