Bin Lai

1.2k citations
59 papers · 890 · h-index 17

Impact in

Papers in

Bin Lai

57 papers receiving 870 citations

Peers

Bin Lai
Comparison fields: 5 of 99
  • Developmental Neuroscience 144
  • Cellular and Molecular Neuroscience 358
  • Neurology 71
  • Biological Psychiatry 18
  • Cognitive Neuroscience 122
Replace Chunmei Xu with:
Chunmei Xu China
Silke Patz Austria
Josette Cadusseau France
Thomas M. Freiman Germany
P Chang United States
Laura Pellegrini United Kingdom
Lifeng Wang China
Michael J. Hylin United States
Keith K. Fenrich Canada
Baolin Guo China
Bin Lai relative to Chunmei Xu China Chunmei Xu's profile →
Citations per field
00.5×1.6×
Chunmei Xu · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009165
2 201570
3 201937
4 201733
5 201632
6 201228
7 201126
8 200524
9 201021
10 201620
11 202220
12 201619
13 200719
14 200819
15 202317
16 201917
17 202216
18 201616
19 202014
20 201614

About Bin Lai

Bin Lai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Neurology, having authored 59 papers that have together received 890 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), Advanced Fiber Optic Sensors (5 papers), Photonic and Optical Devices (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Developmental Neuroscience (144 citations), Cellular and Molecular Neuroscience (358 citations), Neurology (71 citations), Biological Psychiatry (18 citations) and Cognitive Neuroscience (122 citations). Bin Lai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ping Zheng, David A. Greenberg, Ming Chen, Kunlin Jin, Lin Xie, Jiaojiao Song, Olivia Gorostiza, Xiaomei Wang, Lan Ma and Yaoming Wang. Their work appears in journals such as Addiction Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Experimental Neurology, Neuropharmacology and Frontiers in 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.

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