Dapeng Li

1.3k citations
28 papers · 975 · h-index 13

Impact in

    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Motor Control and Adaptation
    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Neurobiology and Insect Physiology Research

Papers in

Dapeng Li

26 papers receiving 962 citations

Peers

Dapeng Li
Comparison fields: 5 of 85
  • Cognitive Neuroscience 522
  • Cellular and Molecular Neuroscience 303
  • Endocrine and Autonomic Systems 58
  • Behavioral Neuroscience 26
  • Sensory Systems 34
Replace Zhihui Liu with:
Zhihui Liu United States
Xiao-lin Chou United States
Е. П. Кулешова Russia
Jun Takatoh United States
Andrei I. Molosh United States
S. Auvinen Finland
Aimei Yang United States
Eliza L. Adams United States
Susan C. Michael United States
Valentina Ferretti Italy
Dapeng Li relative to Zhihui Liu United States Zhihui Liu's profile →
Citations per field
00.5×2×2.9×
Zhihui Liu · 1×
Citations per year

Countries citing papers authored by Dapeng Li

Since Specialization
Citations

This map shows the geographic impact of Dapeng 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 Dapeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Li more than expected).

Fields of papers citing papers by Dapeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dapeng 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 Dapeng Li. The network helps show where Dapeng Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Dapeng 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 Dapeng Li Line = papers co-authored together Dapeng 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 2015250
2 2018185
3 2019115
4 202291
5 201755
6 200537
7 202235
8 202134
9 202132
10 201927
11 200626
12 201817
13 202114
14 201811
15 20159
16 20239
17 20217
18 20176
19 20213
20 20233

About Dapeng Li

Dapeng Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Sensory Systems and Endocrine and Autonomic Systems, having authored 28 papers that have together received 975 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Automotive and Human Injury Biomechanics (4 papers), Visual perception and processing mechanisms (4 papers), Gastrointestinal motility and disorders (2 papers), Glioma Diagnosis and Treatment (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Obsessive-Compulsive Spectrum Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (522 citations), Cellular and Molecular Neuroscience (303 citations), Endocrine and Autonomic Systems (58 citations), Behavioral Neuroscience (26 citations) and Sensory Systems (34 citations). Dapeng Li has collaborated with scholars based in China and United States. Frequent co-authors include Peng Cao, Congping Shang, Zijun Chen, Zhihui Liu, Yingchao Shi, Su Liu, Qian Wang, Aixue Liu, Yi Wang and Meizhu Huang. Their work appears in journals such as Nature Communications, Neuron, Injury, Nature Neuroscience and The Innovation.

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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