Boxing Li

25 papers receiving 879 citations

Peers

Boxing Li
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 407
  • Developmental Neuroscience 44
  • Neurology 84
  • Sensory Systems 43
  • Biological Psychiatry 22
Replace Carlos Manlio Díaz‐García with:
Carlos Manlio Díaz‐García United States
Simon Pieraut United States
Christine Laliberté Canada
Lianyan Huang China
Lucas Matt United States
Vidhya Rangaraju Germany
Federica Bertaso France
Thirumalini Vaithianathan United States
Florian Giesert Germany
Ping‐Chieh Pao United States
Boxing Li relative to Carlos Manlio Díaz‐García United States Carlos Manlio Díaz‐García's profile →
Citations per field
00.5×4.7×
Carlos Manlio Díaz‐García · 1×
Citations per year

Countries citing papers authored by Boxing Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Boxing Li Line = papers co-authored together Boxing Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014204
2 201686
3 201482
4 200974
5 201255
6 201547
7 202041
8 201840
9 202040
10 201430
11 201529
12 200928
13 202425
14 202421
15 201320
16 200614
17 202113
18 20258
19 20247
20 20227

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.

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