Huanling Lai

1.0k total citations
26 papers, 370 citations indexed

About

Huanling Lai is a scholar working on Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Huanling Lai has authored 26 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Psychiatry and Mental health and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Huanling Lai's work include Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neural dynamics and brain function (3 papers). Huanling Lai is often cited by papers focused on Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neural dynamics and brain function (3 papers). Huanling Lai collaborates with scholars based in China, Macao and United States. Huanling Lai's co-authors include Elaine Lai‐Han Leung, Qibiao Wu, Zebo Jiang, Jumin Huang, Meifang Wang, Xiaojun Yao, Xing‐Xing Fan, Yuwei Wang, Wenjun Wang and Ya‐Jia Xie and has published in prestigious journals such as Brain, Cerebral Cortex and Frontiers in Microbiology.

In The Last Decade

Huanling Lai

24 papers receiving 369 citations

Peers

Huanling Lai
Comparison fields: 5 of 70
  • Molecular Biology 186
  • Cancer Research 73
  • Oncology 65
  • Immunology 50
  • Pulmonary and Respiratory Medicine 47
Replace Yinyin Xie with:
Yinyin Xie China
Xinyi Chen China
Jennifer S. Waby United Kingdom
Xiaoling Fu China
Subrata K. Pore United States
Witold Jeleniewicz Poland
Anupama Chandramouli United States
Wenjia Wang China
Pierre-Marie Martin France
Yinyin Xie China View profile →
Citations per field, relative to Huanling Lai
Huanling Lai · 1×
Citations per year, relative to Huanling Lai
Huanling Lai · 1×

Countries citing papers authored by Huanling Lai

Since Specialization
Citations

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

Fields of papers citing papers by Huanling Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanling Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Huanling Lai. A scholar is included among the top collaborators of Huanling Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huanling Lai. Huanling Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 3
5 6
6 12
7 3
8 14
9 9
10 6
11 93
12 24
13 30
14 2
15 9
16 3
17 4
18 12
19 19
20 10

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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