Mujing Yan
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Apelin-related biomedical research
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- RNA Interference and Gene Delivery 2
- Peroxisome Proliferator-Activated Receptors 1
- Surgery 4
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 3
- Co-authors
- C. Dale Poulter (2 shared papers)James C. Sacchettini (1 shared paper)Peter S. Gargalovic (5 shared papers)David A. Gordon (3 shared papers)John K. Dickson (1 shared paper)Ching-Hsuen Chu (1 shared paper)Richard E. Gregg (1 shared paper)Ying Chen (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (2 papers)PLoS ONE (1 paper)Journal of Lipid Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Mujing Yan
12 papers receiving 724 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 241
- Physiology 38
- Molecular Biology 478
- Biochemistry 34
- Biochemistry 32
Countries citing papers authored by Mujing Yan
This map shows the geographic impact of Mujing 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 Mujing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mujing Yan more than expected).
Fields of papers citing papers by Mujing Yan
This network shows the impact of papers produced by Mujing 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 Mujing Yan. The network helps show where Mujing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mujing 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
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 375 | |
| 2 | 2015 | 109 | |
| 3 | 1998 | 77 | |
| 4 | 2014 | 54 | |
| 5 | 2021 | 34 | |
| 6 | 2004 | 34 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 12 | |
| 9 | 2008 | 12 | |
| 10 | 2008 | 9 | |
| 11 | 2008 | 3 | |
| 12 | 1996 | 1 |
About Mujing Yan
Mujing Yan is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Pharmacology and Genetics, having authored 12 papers that have together received 738 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Apelin-related biomedical research (3 papers), Hormonal Regulation and Hypertension (2 papers), Enzyme Structure and Function (2 papers), RNA Interference and Gene Delivery (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Pharmacology (241 citations), Physiology (38 citations), Molecular Biology (478 citations), Biochemistry (34 citations) and Biochemistry (32 citations). Mujing Yan has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include C. Dale Poulter, James C. Sacchettini, Peter S. Gargalovic, David A. Gordon, John K. Dickson, Ching-Hsuen Chu, Richard E. Gregg, Ying Chen, Haris Jamil and Scott A. Biller. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, PLoS ONE, Journal of Lipid Research and Biochemistry.
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.