Luxian Lv

7.0k citations
154 papers · 3.1k indexed · h-index 30
Topics
Functional Brain Connectivity Studies (48 papers)Genetic Associations and Epidemiology (26 papers)Tryptophan and brain disorders (25 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Luxian Lv

142 papers receiving 3.0k citations

Peers

Luxian Lv
Comparison fields: 5 of 133
  • Cognitive Neuroscience 1.0k
  • Biological Psychiatry 779
  • Psychiatry and Mental health 724
  • Molecular Biology 707
  • Radiology, Nuclear Medicine and Imaging 470
Replace Nicola G. Cascella with:
Nicola G. Cascella United States
Kotaro Hattori Japan
Tetsuro Ohmori Japan
Toshiya Teraishi Japan
Emilio Merlo‐Pich Italy
Katherine E. Tansey United Kingdom
Greer M. Murphy United States
Daihui Peng China
Carl M. Sellgren Sweden
Pierandrea Muglia Italy
Luxian Lv relative to Nicola G. Cascella United States Nicola G. Cascella's profile →
Citations per field
00.5×1.5×2.2×
Nicola G. Cascella · 1×
Citations per year

Countries citing papers authored by Luxian Lv

Since Specialization
Citations

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

Fields of papers citing papers by Luxian Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luxian Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Luxian Lv. A scholar is included among the top collaborators of Luxian Lv 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 Luxian Lv. Luxian Lv 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
#WorkIndexed citations
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6 21
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11 14
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15 30
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17 41
18
Usefulness of the CHADS2 and R2CHADS2 scores for prognostic stratification in patients with coronary artery disease
1
19 2
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An algorithm for generating cylindrical panoramic image based on double projecting in images with single view
0

About Luxian Lv

Luxian Lv is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cognitive Neuroscience, having authored 154 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (48 papers), Genetic Associations and Epidemiology (26 papers) and Tryptophan and brain disorders (25 papers). The work is most often cited by research in Biological Psychiatry (779 citations), Behavioral Neuroscience (286 citations) and Cognitive Neuroscience (1.0k citations). Luxian Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenqiang Li, Xueqin Song, Yongfeng Yang, Xiaoduo Fan, Jingping Zhao, Hongxing Zhang, Yan Zhang, Wenbin Guo, Renrong Wu and Yihui Hao. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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