Yang Yan
Impact in
- Reproductive Medicine top 1%
- Ovarian function and disorders
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Ovarian function and disorders 19
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- Cancer, Hypoxia, and Metabolism 9
- Co-authors
- Jian Zhong Sun (11 shared papers)Zongben Xu (9 shared papers)Huibin Li (2 shared papers)Guanghong Jia (1 shared paper)Zhe Sun (1 shared paper)Michael A. Hill (1 shared paper)James R. Sowers (1 shared paper)Alan R. Parrish (1 shared paper)
- Journals
- Medicine (7 papers)Applied Sciences (5 papers)Tumor Biology (5 papers)Reproductive Biology and Endocrinology (4 papers)Frontiers in Oncology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yang Yan
280 papers receiving 6.1k citations
Yang Yan's Hit Papers
Peers
Comparison fields: 5 of 185
- Reproductive Medicine 465
- Radiology, Nuclear Medicine and Imaging 825
- Cancer Research 370
- Computational Mechanics 559
- Immunology 500
Countries citing papers authored by Yang Yan
This map shows the geographic impact of Yang 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 Yang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Yan more than expected).
Fields of papers citing papers by Yang Yan
This network shows the impact of papers produced by Yang 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 Yang Yan. The network helps show where Yang Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 305 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Insulin resistance, cardiovascular stiffening and cardiovascular disease Hit paper breakdown → | 2021 | 703 |
| 2 | Deep ADMM-Net for compressive sensing MRI Hit paper breakdown → | 2016 | 661 |
| 3 | ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing Hit paper breakdown → | 2018 | 638 |
| 4 | 2012 | 195 | |
| 5 | 2016 | 171 | |
| 6 | 2018 | 152 | |
| 7 | 2017 | 134 | |
| 8 | 2018 | 132 | |
| 9 | 2022 | 87 | |
| 10 | 2018 | 74 | |
| 11 | 2018 | 65 | |
| 12 | 2011 | 61 | |
| 13 | 2020 | 57 | |
| 14 | Metformin inhibits gastric cancer via the inhibition of HIF1α/PKM2 signaling. | 2015 | 54 |
| 15 | 2011 | 49 | |
| 16 | 2013 | 49 | |
| 17 | 2020 | 48 | |
| 18 | 2019 | 46 | |
| 19 | 2015 | 43 | |
| 20 | 2019 | 43 |
About Yang Yan
Yang Yan is a scholar working on Reproductive Medicine, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 305 papers that have together received 6.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (12 papers), Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Acute Myeloid Leukemia Research (9 papers), Cancer Cells and Metastasis (8 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Reproductive Medicine (465 citations), Radiology, Nuclear Medicine and Imaging (825 citations), Cancer Research (370 citations), Computational Mechanics (559 citations) and Immunology (500 citations). Yang Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jian Zhong Sun, Zongben Xu, Huibin Li, Guanghong Jia, Zhe Sun, Michael A. Hill, James R. Sowers, Alan R. Parrish, Jie Qiao and Ruopeng An. Their work appears in journals such as Medicine, Applied Sciences, Tumor Biology, Reproductive Biology and Endocrinology and Frontiers in Oncology.
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.