Mufeng Li
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
-
- Neuroscience of respiration and sleep
Papers in
-
- Ion channel regulation and function 6
- Physiology 11
- Adenosine and Purinergic Signaling 11
- Co-authors
- Kenton J. Swartz (11 shared papers)Shai D. Silberberg (8 shared papers)Toshimitsu Kawate (2 shared papers)Gilman E. S. Toombes (1 shared paper)Tsg-Hui Chang (1 shared paper)Janice Robertson (1 shared paper)Huan‐Xiang Zhou (1 shared paper)Jian Dai (1 shared paper)
- Journals
- Molecular Pharmaceutics (4 papers)Proceedings of the National Academy of Sciences (3 papers)Materials Today Bio (2 papers)eLife (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesUzbekistan
In The Last Decade
Mufeng Li
31 papers receiving 724 citations
Peers
Comparison fields: 5 of 77
- Physiology 441
- Endocrine and Autonomic Systems 172
- Sensory Systems 50
- Molecular Biology 362
- Cellular and Molecular Neuroscience 94
Countries citing papers authored by Mufeng Li
This map shows the geographic impact of Mufeng Li'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 Mufeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mufeng Li more than expected).
Fields of papers citing papers by Mufeng Li
This network shows the impact of papers produced by Mufeng Li. 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 Mufeng Li. The network helps show where Mufeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mufeng Li, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 115 | |
| 2 | 2015 | 101 | |
| 3 | 2008 | 93 | |
| 4 | 2010 | 84 | |
| 5 | 2011 | 59 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 47 | |
| 8 | 2019 | 41 | |
| 9 | 2019 | 17 | |
| 10 | 2025 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2025 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 5 |
About Mufeng Li
Mufeng Li is a scholar working on Molecular Biology, Physiology, Oncology, Endocrine and Autonomic Systems and Biomedical Engineering, having authored 34 papers that have together received 725 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (11 papers), Ion channel regulation and function (6 papers), Neuroscience of respiration and sleep (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Luminescence and Fluorescent Materials (3 papers), Peptidase Inhibition and Analysis (3 papers), Bone Tissue Engineering Materials (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Physiology (441 citations), Endocrine and Autonomic Systems (172 citations), Sensory Systems (50 citations), Molecular Biology (362 citations) and Cellular and Molecular Neuroscience (94 citations). Mufeng Li has collaborated with scholars based in China, United States and Uzbekistan. Frequent co-authors include Kenton J. Swartz, Shai D. Silberberg, Toshimitsu Kawate, Gilman E. S. Toombes, Tsg-Hui Chang, Janice Robertson, Huan‐Xiang Zhou, Jian Dai, Gabriel Heymann and José D. Faraldo‐Gómez. Their work appears in journals such as Molecular Pharmaceutics, Proceedings of the National Academy of Sciences, Materials Today Bio, eLife and Nature Neuroscience.
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.