Bin Lai

1.1k citations
56 papers · 804 · h-index 17

Impact in

Papers in

Bin Lai

56 papers receiving 789 citations

Peers

Bin Lai
Comparison fields: 5 of 102
  • Developmental Neuroscience 142
  • Cellular and Molecular Neuroscience 359
  • Neurology 72
  • Biological Psychiatry 18
  • Cognitive Neuroscience 130
Replace Angélique Ducray with:
Angélique Ducray Switzerland
Kai Zhao China
Daria Guseva Germany
Ilse Riebe Sweden
Chunmei Xu China
Huancong Zuo China
Elke Kirchmair Austria
Tushar D. Patel United States
Sarah A. Woller United States
Bin Lai relative to Angélique Ducray Switzerland Angélique Ducray's profile →
Citations per field
00.5×1.5×2.4×
Angélique Ducray · 1×
Citations per year

Countries citing papers authored by Bin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Lai, 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 Bin Lai Line = papers co-authored together Bin Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009147
2 201565
3 201935
4 201732
5 201630
6 201126
7 200523
8 201021
9 200719
10 201619
11 200818
12 201618
13 202317
14 201917
15 202216
16 202216
17 201616
18 202015
19 202113
20 201613

About Bin Lai

Bin Lai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Neurology, having authored 56 papers that have together received 804 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Memory and Neural Mechanisms (12 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Mitochondrial Function and Pathology (5 papers), Advanced Fiber Optic Sensors (5 papers) and Photonic and Optical Devices (5 papers). The work is most often cited by research in Developmental Neuroscience (142 citations), Cellular and Molecular Neuroscience (359 citations), Neurology (72 citations), Biological Psychiatry (18 citations) and Cognitive Neuroscience (130 citations). Bin Lai has collaborated with scholars based in China and United States. Frequent co-authors include Ping Zheng, Ming Chen, David A. Greenberg, Kunlin Jin, Lin Xie, Jiaojiao Song, Lan Ma, XiaoOu Mao, Yi Dong and Olivia Gorostiza. Their work appears in journals such as Experimental Neurology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Addiction Biology, Sensors and Actuators A Physical and Journal of Thermal Biology.

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.

Explore authors with similar magnitude of impact