Ying Yan
Impact in
- Oncology top 10%
- Bone health and treatments
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- Bone Metabolism and Diseases 4
- Cancer-related gene regulation 3
-
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- John P. Lydon (7 shared papers)Atish Mukherjee (4 shared papers)Francesco J. DeMayo (3 shared papers)Rodrigo Fernandez‐Valdivia (2 shared papers)Di Chen (3 shared papers)Selma M. Soyal (3 shared papers)Marilène Paquet (1 shared paper)Jie Li (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Transgenic Research (2 papers)Pharmacological Research (2 papers)genesis (2 papers)Theranostics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Yan
34 papers receiving 943 citations
Peers
Comparison fields: 5 of 95
- Oncology 214
- Cancer Research 113
- Aquatic Science 57
- Immunology 152
- Molecular Biology 415
Countries citing papers authored by Ying Yan
This map shows the geographic impact of Ying Yan'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 Ying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yan more than expected).
Fields of papers citing papers by Ying Yan
This network shows the impact of papers produced by Ying Yan. 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 Ying Yan. The network helps show where Ying Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Yan, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 110 | |
| 2 | 2009 | 96 | |
| 3 | 2009 | 68 | |
| 4 | 2010 | 67 | |
| 5 | 2015 | 58 | |
| 6 | 2009 | 55 | |
| 7 | 2020 | 55 | |
| 8 | 2014 | 46 | |
| 9 | 2022 | 45 | |
| 10 | 2003 | 39 | |
| 11 | 2018 | 38 | |
| 12 | 2005 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 2010 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2020 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 15 |
About Ying Yan
Ying Yan is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 950 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Bone Metabolism and Diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cholesterol and Lipid Metabolism (3 papers), Nerve injury and regeneration (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cancer-related gene regulation (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Oncology (214 citations), Cancer Research (113 citations), Aquatic Science (57 citations), Immunology (152 citations) and Molecular Biology (415 citations). Ying Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John P. Lydon, Atish Mukherjee, Francesco J. DeMayo, Rodrigo Fernandez‐Valdivia, Di Chen, Selma M. Soyal, Marilène Paquet, Jie Li, Hao Ying and Stephen E. Harris. Their work appears in journals such as The FASEB Journal, Transgenic Research, Pharmacological Research, genesis and Theranostics.
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.