Yan Mao
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Cancer-related molecular mechanisms research 10
- Breast Cancer Treatment Studies 8
- Oncology 31
- HER2/EGFR in Cancer Research 6
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Kunwei ShenDavid GarfieldJianhua WangEvan T. KellerOu HuangXiaosong ChenXiaochun FeiQing Qu
- Journals
- Journal of Clinical Oncology (4 papers)The International Journal of Biochemistry & Cell Biology (2 papers)Tumor Biology (2 papers)Cancer Management and Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yan Mao
63 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 748
- Oncology 1.0k
- Immunology 421
- Molecular Biology 839
- Pulmonary and Respiratory Medicine 338
Countries citing papers authored by Yan Mao
This map shows the geographic impact of Yan Mao'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 Yan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Mao more than expected).
Fields of papers citing papers by Yan Mao
This network shows the impact of papers produced by Yan Mao. 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 Yan Mao. The network helps show where Yan Mao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 40 | |
| 10 | Preoperative Immune Prognostic Index Can Predict the Clinical Outcomes of Patients with Gallbladder Cancer: Single-Center Experience | 2020 | 1 |
| 11 | 2020 | 16 | |
| 12 | 2020 | 2 | |
| 13 | 2016 | 202 | |
| 14 | 2015 | 42 | |
| 15 | 2015 | 43 | |
| 16 | 2013 | 50 | |
| 17 | 2013 | 36 | |
| 18 | 2013 | 50 | |
| 19 | 2012 | 1 | |
| 20 | The impact of the decreased prevalence of smoking in Canada. | 1993 | 10 |
About Yan Mao
Yan Mao is a scholar working on Cancer Research, Oncology, Immunology, Hematology and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers), Breast Cancer Treatment Studies (8 papers), Immune cells in cancer (7 papers), HER2/EGFR in Cancer Research (6 papers), Advanced Breast Cancer Therapies (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (748 citations), Oncology (1.0k citations), Immunology (421 citations), Molecular Biology (839 citations) and Pulmonary and Respiratory Medicine (338 citations). Yan Mao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Kunwei Shen, David Garfield, Jianhua Wang, Evan T. Keller, Ou Huang, Xiaosong Chen, Xiaochun Fei, Qing Qu, Jiayi Wu and Feng Jiang. Their work appears in journals such as Journal of Clinical Oncology, The International Journal of Biochemistry & Cell Biology, Tumor Biology, Cancer Management and Research and Biochemical and Biophysical Research Communications.
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.