Quan Van Le

717 total citations
12 papers, 462 citations indexed

About

Quan Van Le is a scholar working on Cognitive Neuroscience, Sensory Systems and Organic Chemistry. According to data from OpenAlex, Quan Van Le has authored 12 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Sensory Systems and 2 papers in Organic Chemistry. Recurrent topics in Quan Van Le's work include Face Recognition and Perception (6 papers), Neural dynamics and brain function (4 papers) and Olfactory and Sensory Function Studies (3 papers). Quan Van Le is often cited by papers focused on Face Recognition and Perception (6 papers), Neural dynamics and brain function (4 papers) and Olfactory and Sensory Function Studies (3 papers). Quan Van Le collaborates with scholars based in Japan, Vietnam and Brazil. Quan Van Le's co-authors include Hisao Nishijo, Etsuro Hori, Rafael S. Maior, Taketoshi Ono, Jumpei Matsumoto, Carlos Tomaz, Lynne A. Isbell, Anh Hai Tran, Minh Nui Nguyen and Hiroshi Nishimaru and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Quan Van Le

12 papers receiving 457 citations

Peers

Quan Van Le
M. Rowson United Kingdom
B. G. Green United States
Xinyan Ni China
Quan Van Le
Citations per year, relative to Quan Van Le Quan Van Le (= 1×) peers Alianda Maira Cornélio

Countries citing papers authored by Quan Van Le

Since Specialization
Citations

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

Fields of papers citing papers by Quan Van Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quan Van Le. 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 Quan Van Le. The network helps show where Quan Van Le may publish in the future.

Co-authorship network of co-authors of Quan Van Le

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Van Le. A scholar is included among the top collaborators of Quan Van Le 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 Quan Van Le. Quan Van Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Nguyen, Tam, et al.. (2023). Typhoid fever, complicated by syncope due to relative bradycardia: A case report. SHILAP Revista de lepidopterología. 11. 2050313X231177108–2050313X231177108. 2 indexed citations
2.
Nishimaru, Hiroshi, Quan Van Le, Jumpei Matsumoto, et al.. (2021). Preferential Neuronal Responses to Snakes in the Monkey Medial Prefrontal Cortex Support an Evolutionary Origin for Ophidiophobia. Frontiers in Behavioral Neuroscience. 15. 653250–653250. 4 indexed citations
3.
Le, Quan Van, Hiroshi Nishimaru, Jumpei Matsumoto, et al.. (2020). A Prototypical Template for Rapid Face Detection Is Embedded in the Monkey Superior Colliculus. Frontiers in Systems Neuroscience. 14. 5–5. 24 indexed citations
4.
Hoàng, Thái, Nguyễn Thúy Chinh, Mai T. Tran, et al.. (2020). Characterization of chitosan/alginate/lovastatin nanoparticles and investigation of their toxic effects in vitro and in vivo. Scientific Reports. 10(1). 909–909. 116 indexed citations
5.
Hồ, Đức Việt, et al.. (2020). Effects of Hippeastrum reticulatum on memory, spatial learning and object recognition in a scopolamine-induced animal model of Alzheimer’s disease. Pharmaceutical Biology. 58(1). 1107–1113. 14 indexed citations
6.
Le, Quan Van, Hiroshi Nishimaru, Jumpei Matsumoto, et al.. (2017). Gamma oscillations in the superior colliculus and pulvinar in response to faces support discrimination performance in monkeys. Neuropsychologia. 128. 87–95. 13 indexed citations
7.
Tran, Anh Hai, Quan Van Le, Mai Thanh Thi Nguyen, et al.. (2017). Willughbeia cochinchinensis prevents scopolamine-induced deficits in memory, spatial learning, and object recognition in rodents. Journal of Ethnopharmacology. 214. 99–105. 8 indexed citations
8.
Nishimaru, Hiroshi, Jumpei Matsumoto, Yusaku Takamura, et al.. (2017). Superior Neuronal Detection of Snakes and Conspecific Faces in the Macaque Medial Prefrontal Cortex. Cerebral Cortex. 28(6). 2131–2145. 16 indexed citations
9.
Le, Quan Van, Lynne A. Isbell, Jumpei Matsumoto, et al.. (2016). Snakes elicit earlier, and monkey faces, later, gamma oscillations in macaque pulvinar neurons. Scientific Reports. 6(1). 20595–20595. 35 indexed citations
10.
Nguyen, Minh Nui, Hiroshi Nishimaru, Jumpei Matsumoto, et al.. (2016). Population Coding of Facial Information in the Monkey Superior Colliculus and Pulvinar. Frontiers in Neuroscience. 10. 583–583. 25 indexed citations
11.
Le, Quan Van, Lynne A. Isbell, Jumpei Matsumoto, et al.. (2014). Monkey Pulvinar Neurons Fire Differentially to Snake Postures. PLoS ONE. 9(12). e114258–e114258. 42 indexed citations
12.
Le, Quan Van, Lynne A. Isbell, Jumpei Matsumoto, et al.. (2013). Pulvinar neurons reveal neurobiological evidence of past selection for rapid detection of snakes. Proceedings of the National Academy of Sciences. 110(47). 19000–19005. 163 indexed citations

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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