Boxing Li
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Developmental Neuroscience top 10%
Papers in ⓘ
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- Neuroscience and Neuropharmacology Research 11
- Neuroscience and Neural Engineering 3
- Aging 1
- Co-authors
- Richard W. Tsien (7 shared papers)Huan Ma (4 shared papers)Samuel M. Cohen (3 shared papers)Lianyan Huang (12 shared papers)Michael R. Tadross (1 shared paper)Guoan Zhang (2 shared papers)Thomas A. Neubert (2 shared papers)John F. Emery (1 shared paper)
- Journals
- Current Biology (2 papers)Cell (2 papers)Frontiers in Molecular Neuroscience (2 papers)Molecular Neurobiology (2 papers)Neuron (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Boxing Li
25 papers receiving 879 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 407
- Developmental Neuroscience 44
- Neurology 84
- Sensory Systems 43
- Biological Psychiatry 22
Countries citing papers authored by Boxing Li
This map shows the geographic impact of Boxing 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 Boxing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxing Li more than expected).
Fields of papers citing papers by Boxing Li
This network shows the impact of papers produced by Boxing 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 Boxing Li. The network helps show where Boxing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxing 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 204 | |
| 2 | 2016 | 86 | |
| 3 | 2014 | 82 | |
| 4 | 2009 | 74 | |
| 5 | 2012 | 55 | |
| 6 | 2015 | 47 | |
| 7 | 2020 | 41 | |
| 8 | 2018 | 40 | |
| 9 | 2020 | 40 | |
| 10 | 2014 | 30 | |
| 11 | 2015 | 29 | |
| 12 | 2009 | 28 | |
| 13 | 2024 | 25 | |
| 14 | 2024 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2006 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2025 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2022 | 7 |
About Boxing Li
Boxing Li is a scholar working on Cellular and Molecular Neuroscience, Aging, Neurology, Developmental Neuroscience and Sensory Systems, having authored 28 papers that have together received 886 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Ion channel regulation and function (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neural Engineering (3 papers), Neuroendocrine regulation and behavior (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Mitochondrial Function and Pathology (3 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (407 citations), Developmental Neuroscience (44 citations), Neurology (84 citations), Sensory Systems (43 citations) and Biological Psychiatry (22 citations). Boxing Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Richard W. Tsien, Huan Ma, Samuel M. Cohen, Lianyan Huang, Michael R. Tadross, Guoan Zhang, Thomas A. Neubert, John F. Emery, Rachel D. Groth and Esthelle Hoedt. Their work appears in journals such as Current Biology, Cell, Frontiers in Molecular Neuroscience, Molecular Neurobiology and Neuron.
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.