Mujing Yan
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Surgery 5
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 4
- Pancreatic function and diabetes 1
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- Hormonal Regulation and Hypertension 2
- Co-authors
- Peter S. Gargalovic (5 shared papers)David A. Gordon (3 shared papers)Scott A. Biller (3 shared papers)Ching-Hsuen Chu (1 shared paper)Ying Chen (1 shared paper)John R. Wetterau (1 shared paper)Haris Jamil (1 shared paper)John K. Dickson (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (2 papers)Journal of Lipid Research (1 paper)Circulation Heart Failure (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Mujing Yan
10 papers receiving 329 citations
Peers
Comparison fields: 5 of 66
- Physiology 38
- Gastroenterology 20
- Biological Psychiatry 8
- Endocrinology, Diabetes and Metabolism 47
- Pharmacology 45
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 | 2015 | 100 | |
| 2 | 1998 | 73 | |
| 3 | 2014 | 52 | |
| 4 | 2004 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2019 | 15 | |
| 7 | 2008 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2008 | 9 | |
| 10 | 2008 | 3 |
About Mujing Yan
Mujing Yan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Genetics, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Apelin-related biomedical research (3 papers), RNA Interference and Gene Delivery (2 papers), Hormonal Regulation and Hypertension (2 papers), Pancreatic function and diabetes (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Genetic Associations and Epidemiology (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Physiology (38 citations), Gastroenterology (20 citations), Biological Psychiatry (8 citations), Endocrinology, Diabetes and Metabolism (47 citations) and Pharmacology (45 citations). Mujing Yan has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Peter S. Gargalovic, David A. Gordon, Scott A. Biller, Ching-Hsuen Chu, Ying Chen, John R. Wetterau, Haris Jamil, John K. Dickson, Richard E. Gregg and Stanley L. Hazen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Lipid Research, Circulation Heart Failure and PLoS Genetics.
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.