Jia Yang
- Molecular Biology
- Oncology top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Co-authors
- Takashi IkejimaWU Li-junZhuoli ZhangAydın EresenSatoshi OnoderaJunjie ShangguanVahid YaghmaiJiaojiao Zhou
- Topics
- Pancreatic and Hepatic Oncology Research (10 papers)Magnolia and Illicium research (8 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Cited by
- HepatologyOncologyBiotechnology
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaMolecular Cell
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jia Yang
98 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 421
- Oncology 287
- Epidemiology 200
- Radiology, Nuclear Medicine and Imaging 200
- Surgery 183
Countries citing papers authored by Jia Yang
This map shows the geographic impact of Jia 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 Jia Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Yang more than expected).
Fields of papers citing papers by Jia Yang
This network shows the impact of papers produced by Jia 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 Jia Yang. The network helps show where Jia Yang may publish in the future.
Co-authorship network of co-authors of Jia Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Yang. A scholar is included among the top collaborators of Jia Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jia Yang. Jia Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | The Single Nucleotide Polymorphisms (rs1292037 and rs13137) in miR-21 Were Associated with T2DM in a Chinese Population | 7 |
| 12 | The Association of TNF-α Promoter Polymorphisms with Genetic Susceptibility to Cervical Cancer in a Chinese Han Population | 6 |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 48 | |
| 18 | A meta-analysis of the efficacy and safety of PD-1/PD-L1 immune checkpoint inhibitors as treatments for metastatic bladder cancer | 1 |
| 19 | 19 | |
| 20 | 33 |
About Jia Yang
Jia Yang is a scholar working on Biological Psychiatry, Rehabilitation and Nephrology, having authored 108 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Magnolia and Illicium research (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Hepatology (98 citations), Oncology (287 citations) and Biotechnology (85 citations). Jia Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Takashi Ikejima, WU Li-jun, Zhuoli Zhang, Aydın Eresen, Satoshi Onodera, Junjie Shangguan, Vahid Yaghmai, Jiaojiao Zhou, Lichuan Yang and Yury Velichko. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.
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.