Yan Diao
Impact in
- Pharmacology top 10%
- Inflammatory mediators and NSAID effects
- Flavonoids in Medical Research
Papers in
-
- Bone Metabolism and Diseases 3
- Gut microbiota and health 2
- Oncology 6
- Co-authors
- Huafeng Kang (11 shared papers)Xi-Jing Wang (10 shared papers)Lijun Wei (7 shared papers)Xiaobin Ma (3 shared papers)Weili Min (4 shared papers)Jie Gao (3 shared papers)Shuai Lin (6 shared papers)Haitao Guan (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Cancer Cell International (2 papers)Molecules (2 papers)Cancer Letters (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yan Diao
33 papers receiving 539 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 101
- Aging 6
- Cancer Research 46
- Media Technology 26
- Radiology, Nuclear Medicine and Imaging 60
Countries citing papers authored by Yan Diao
This map shows the geographic impact of Yan Diao'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 Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Diao more than expected).
Fields of papers citing papers by Yan Diao
This network shows the impact of papers produced by Yan Diao. 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 Diao. The network helps show where Yan Diao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Diao, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 84 | |
| 2 | 2020 | 50 | |
| 3 | 2013 | 40 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 31 | |
| 6 | 2011 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 24 | |
| 10 | 2018 | 19 | |
| 11 | 2019 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2013 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2016 | 13 | |
| 18 | Prognostic value of transformer 2β expression in prostate cancer. | 2015 | 13 |
| 19 | 2018 | 11 | |
| 20 | 2022 | 9 |
About Yan Diao
Yan Diao is a scholar working on Molecular Biology, Oncology, Pharmacology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 548 indexed citations. Recurring topics across this work include Flavonoids in Medical Research (3 papers), Bone Metabolism and Diseases (3 papers), MRI in cancer diagnosis (2 papers), Gut microbiota and health (2 papers), Bone health and osteoporosis research (2 papers), Estrogen and related hormone effects (2 papers), Immunotherapy and Immune Responses (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Pharmacology (101 citations), Aging (6 citations), Cancer Research (46 citations), Media Technology (26 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Yan Diao has collaborated with scholars based in China, United States and France. Frequent co-authors include Huafeng Kang, Xi-Jing Wang, Lijun Wei, Xiaobin Ma, Weili Min, Jie Gao, Shuai Lin, Haitao Guan, Xin Chen and Xiaocheng Wei. Their work appears in journals such as International Journal of Biological Macromolecules, Cancer Cell International, Molecules, Cancer Letters and Scientific Reports.
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.