Julin Yang
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
- Pharmacogenetics and Drug Metabolism
-
- Liver Diseases and Immunity
Papers in
- Oncology 14
- Drug Transport and Resistance Mechanisms 14
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 7
- Drug-Induced Hepatotoxicity and Protection 7
- Co-authors
- Aiming Liu (28 shared papers)Frank J. Gonzalez (9 shared papers)Manyun Dai (14 shared papers)Bin Guo (4 shared papers)Jinshun Zhao (3 shared papers)Danjun Song (5 shared papers)Zhen Tan (4 shared papers)Lu Sun (2 shared papers)
- Journals
- Pharmacological Reports (3 papers)Journal of Pharmacy and Pharmacology (2 papers)Toxicology Letters (2 papers)Applied Surface Science (1 paper)Phytotherapy Research (1 paper)
- Partner nations
- ChinaUnited StatesBahrain
In The Last Decade
Julin Yang
30 papers receiving 415 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 114
- Hepatology 49
- Biological Psychiatry 11
- Oncology 101
- Complementary and alternative medicine 25
Countries citing papers authored by Julin Yang
This map shows the geographic impact of Julin 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 Julin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julin Yang more than expected).
Fields of papers citing papers by Julin Yang
This network shows the impact of papers produced by Julin 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 Julin Yang. The network helps show where Julin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Julin 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 70 | |
| 2 | 2016 | 41 | |
| 3 | 2017 | 41 | |
| 4 | 2016 | 34 | |
| 5 | 2012 | 25 | |
| 6 | 2016 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2012 | 19 | |
| 9 | 2013 | 17 | |
| 10 | 2020 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2011 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2011 | 7 |
About Julin Yang
Julin Yang is a scholar working on Oncology, Pharmacology, Molecular Biology, Epidemiology and Physiology, having authored 31 papers that have together received 418 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacogenetics and Drug Metabolism (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Adipose Tissue and Metabolism (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Pharmacology (114 citations), Hepatology (49 citations), Biological Psychiatry (11 citations), Oncology (101 citations) and Complementary and alternative medicine (25 citations). Julin Yang has collaborated with scholars based in China, United States and Bahrain. Frequent co-authors include Aiming Liu, Frank J. Gonzalez, Manyun Dai, Bin Guo, Jinshun Zhao, Danjun Song, Zhen Tan, Lu Sun, Renke Dai and Zhong‐Ze Fang. Their work appears in journals such as Pharmacological Reports, Journal of Pharmacy and Pharmacology, Toxicology Letters, Applied Surface Science and Phytotherapy Research.
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.