Yanting Yang
Impact in
-
- Cardiovascular Health and Disease Prevention
- Blood Pressure and Hypertension Studies
Papers in
-
- Ubiquitin and proteasome pathways 1
- Oncology 4
- Cancer Treatment and Pharmacology 2
- Drug Transport and Resistance Mechanisms 1
- Co-authors
- T. Cao (1 shared paper)Hongbo Wang (6 shared papers)Xiaoyun Luo (1 shared paper)Zhaojun Li (1 shared paper)Fenghua Fu (4 shared papers)Guohua Yu (3 shared papers)Chunhong Yan (2 shared papers)Jingwei Tian (2 shared papers)
- Journals
- Lipids in Health and Disease (1 paper)Toxicology and Applied Pharmacology (1 paper)Pharmacological Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Clinical Radiology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanting Yang
13 papers receiving 378 citations
Peers
Comparison fields: 5 of 79
- Drug Discovery 1
- Cardiology and Cardiovascular Medicine 67
- Oncology 70
- Biomaterials 35
- Molecular Medicine 11
Countries citing papers authored by Yanting Yang
This map shows the geographic impact of Yanting 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 Yanting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Yang more than expected).
Fields of papers citing papers by Yanting Yang
This network shows the impact of papers produced by Yanting 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 Yanting Yang. The network helps show where Yanting Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanting Yang, 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 | 2011 | 94 | |
| 2 | 2018 | 81 | |
| 3 | 2018 | 64 | |
| 4 | 2018 | 38 | |
| 5 | 2022 | 33 | |
| 6 | 2016 | 22 | |
| 7 | 2024 | 16 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2019 | 1 |
About Yanting Yang
Yanting Yang is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Nephrology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (2 papers), Cancer Treatment and Pharmacology (2 papers), Ubiquitin and proteasome pathways (1 paper), Hepatitis B Virus Studies (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Drug Discovery (1 citation), Cardiology and Cardiovascular Medicine (67 citations), Oncology (70 citations), Biomaterials (35 citations) and Molecular Medicine (11 citations). Yanting Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include T. Cao, Hongbo Wang, Xiaoyun Luo, Zhaojun Li, Fenghua Fu, Guohua Yu, Chunhong Yan, Jingwei Tian, Gangqiang Yang and Jing Lu. Their work appears in journals such as Lipids in Health and Disease, Toxicology and Applied Pharmacology, Pharmacological Research, Journal of Pharmacology and Experimental Therapeutics and Clinical Radiology.
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.