Weitong Mu
Impact in
- Biochemistry top 0.05%
- Sulfur Compounds in Biology
- Eicosanoids and Hypertension Pharmacology
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- Neuroscience of respiration and sleep
Papers in
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- Neuroscience and Neuropharmacology Research 5
- Nuclear Receptors and Signaling 1
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- RNA Interference and Gene Delivery 3
- RNA and protein synthesis mechanisms 1
- Co-authors
- Rui Wang (2 shared papers)Asif K. Mustafa (2 shared papers)Solomon H. Snyder (2 shared papers)Guangdong Yang (2 shared papers)Qinghe Meng (1 shared paper)Lingyun Wu (1 shared paper)Jiansong Qi (1 shared paper)Kun Cao (1 shared paper)
- Journals
- Science (1 paper)Journal of Neuroscience (1 paper)Science Signaling (1 paper)Molecular Brain Research (3 papers)Brain Research Bulletin (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Weitong Mu
8 papers receiving 3.2k citations
Weitong Mu's Hit Papers
Peers
Comparison fields: 5 of 104
- Biochemistry 2.5k
- Endocrine and Autonomic Systems 551
- Spectroscopy 442
- Physiology 611
- Rheumatology 223
Countries citing papers authored by Weitong Mu
This map shows the geographic impact of Weitong Mu'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 Weitong Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weitong Mu more than expected).
Fields of papers citing papers by Weitong Mu
This network shows the impact of papers produced by Weitong Mu. 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 Weitong Mu. The network helps show where Weitong Mu may publish in the future.
Co-authors
The 24 scholars most cited alongside Weitong Mu, 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 | H 2 S as a Physiologic Vasorelaxant: Hypertension in Mice with Deletion of Cystathionine γ-Lyase Hit paper breakdown → | 2008 | 2015 |
| 2 | H 2 S Signals Through Protein S-Sulfhydration Hit paper breakdown → | 2009 | 1036 |
| 3 | 2005 | 133 | |
| 4 | 1999 | 28 | |
| 5 | 1999 | 15 | |
| 6 | 1998 | 9 | |
| 7 | 1998 | 8 | |
| 8 | 2002 | 8 |
About Weitong Mu
Weitong Mu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Biochemistry and Pathology and Forensic Medicine, having authored 8 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), GABA and Rice Research (4 papers), RNA Interference and Gene Delivery (3 papers), Sulfur Compounds in Biology (2 papers), RNA and protein synthesis mechanisms (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Biochemistry (2.5k citations), Endocrine and Autonomic Systems (551 citations), Spectroscopy (442 citations), Physiology (611 citations) and Rheumatology (223 citations). Weitong Mu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Rui Wang, Asif K. Mustafa, Solomon H. Snyder, Guangdong Yang, Qinghe Meng, Lingyun Wu, Jiansong Qi, Kun Cao, Shengming Zhang and Wei Yang. Their work appears in journals such as Science, Journal of Neuroscience, Science Signaling, Molecular Brain Research and Brain Research Bulletin.
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.