Xue-Lian Qi

1.6k total citations
33 papers, 996 citations indexed

About

Xue-Lian Qi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Xue-Lian Qi has authored 33 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Xue-Lian Qi's work include Neural dynamics and brain function (26 papers), Neural and Behavioral Psychology Studies (22 papers) and Memory and Neural Mechanisms (22 papers). Xue-Lian Qi is often cited by papers focused on Neural dynamics and brain function (26 papers), Neural and Behavioral Psychology Studies (22 papers) and Memory and Neural Mechanisms (22 papers). Xue-Lian Qi collaborates with scholars based in United States, China and Spain. Xue-Lian Qi's co-authors include Christos Constantinidis, Terrence R. Stanford, Mitchell R. Riley, Xin Zhou, Travis Meyer, Ethan M. Meyers, Min Wang, Shintaro Funahashi, Daeyeol Lee and Amy F.T. Arnsten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Xue-Lian Qi

31 papers receiving 992 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xue-Lian Qi United States 19 916 234 70 59 57 33 996
Adam Messinger United States 11 798 0.9× 151 0.6× 80 1.1× 60 1.0× 51 0.9× 15 997
Amin Zandvakili United States 15 737 0.8× 293 1.3× 52 0.7× 24 0.4× 56 1.0× 30 912
Michele Ferrante United States 11 304 0.3× 250 1.1× 53 0.8× 67 1.1× 34 0.6× 18 524
Thomas E. Hazy United States 11 725 0.8× 140 0.6× 151 2.2× 56 0.9× 66 1.2× 12 889
Tomer Fekete United States 16 484 0.5× 123 0.5× 71 1.0× 43 0.7× 52 0.9× 29 721
Elliot H. Smith United States 19 987 1.1× 534 2.3× 56 0.8× 39 0.7× 150 2.6× 46 1.2k
Nicholas Ketz United States 10 993 1.1× 333 1.4× 123 1.8× 27 0.5× 41 0.7× 16 1.1k
Camilo Libedinsky Singapore 13 526 0.6× 148 0.6× 123 1.8× 49 0.8× 17 0.3× 40 698
Daniel N. Barry United Kingdom 14 475 0.5× 187 0.8× 38 0.5× 28 0.5× 35 0.6× 18 610
Golia Shafiei Canada 12 773 0.8× 105 0.4× 95 1.4× 56 0.9× 75 1.3× 24 936

Countries citing papers authored by Xue-Lian Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xue-Lian Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue-Lian Qi. 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 Xue-Lian Qi. The network helps show where Xue-Lian Qi may publish in the future.

Co-authorship network of co-authors of Xue-Lian Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xue-Lian Qi. A scholar is included among the top collaborators of Xue-Lian Qi 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 Xue-Lian Qi. Xue-Lian Qi 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
1.
Zhu, Junda, Clément M. Garin, Xue-Lian Qi, et al.. (2025). Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation. Nature Neuroscience. 28(11). 2344–2355.
2.
Qi, Xue-Lian, et al.. (2024). Prefrontal neuronal dynamics in the absence of task execution. Nature Communications. 15(1). 6694–6694. 1 indexed citations
3.
Qi, Xue-Lian, Fernando Ĺ. Vale, Sarah K. Bick, et al.. (2022). Protocol for behavioral and neural recording during stimulation of the macaque monkey nucleus basalis. STAR Protocols. 3(1). 101136–101136.
4.
Wang, Zhengyang, et al.. (2022). Plasticity after cognitive training reflected in prefrontal local field potentials. iScience. 25(9). 104929–104929. 5 indexed citations
5.
Tang, Hua, et al.. (2022). Prefrontal cortical plasticity during learning of cognitive tasks. Nature Communications. 13(1). 90–90. 27 indexed citations
6.
Li, Sihai, Xin Zhou, Christos Constantinidis, & Xue-Lian Qi. (2020). Plasticity of Persistent Activity and Its Constraints. Frontiers in Neural Circuits. 14. 15–15. 13 indexed citations
7.
Constantinidis, Christos, Shintaro Funahashi, Daeyeol Lee, et al.. (2018). Persistent Spiking Activity Underlies Working Memory. Journal of Neuroscience. 38(32). 7020–7028. 168 indexed citations
8.
Constantinidis, Christos & Xue-Lian Qi. (2018). Representation of Spatial and Feature Information in the Monkey Dorsal and Ventral Prefrontal Cortex. Frontiers in Integrative Neuroscience. 12. 31–31. 25 indexed citations
9.
Riley, Mitchell R., Xue-Lian Qi, Xin Zhou, & Christos Constantinidis. (2018). Anterior-posterior gradient of plasticity in primate prefrontal cortex. Nature Communications. 9(1). 3790–3790. 32 indexed citations
10.
Zhou, Xin, Dantong Zhu, Xue-Lian Qi, et al.. (2016). Neural correlates of working memory development in adolescent primates. Nature Communications. 7(1). 13423–13423. 33 indexed citations
11.
Riley, Mitchell R., Xue-Lian Qi, & Christos Constantinidis. (2016). Functional specialization of areas along the anterior–posterior axis of the primate prefrontal cortex. Cerebral Cortex. 27(7). 3683–3697. 49 indexed citations
12.
Zhou, Xin, Xue-Lian Qi, & Christos Constantinidis. (2016). Distinct Roles of the Prefrontal and Posterior Parietal Cortices in Response Inhibition. Cell Reports. 14(12). 2765–2773. 18 indexed citations
13.
Qi, Xue-Lian & Christos Constantinidis. (2015). Lower neuronal variability in the monkey dorsolateral prefrontal than posterior parietal cortex. Journal of Neurophysiology. 114(4). 2194–2203. 9 indexed citations
14.
Zhou, Xin, Dantong Zhu, Xue-Lian Qi, et al.. (2013). Working memory performance and neural activity in prefrontal cortex of peripubertal monkeys. Journal of Neurophysiology. 110(11). 2648–2660. 24 indexed citations
15.
Qi, Xue-Lian, Travis Meyer, Terrence R. Stanford, & Christos Constantinidis. (2012). Neural Correlates of a Decision Variable Before Learning to Perform a Match/Non-Match Task. Journal of Neuroscience. 32(18). 6161–6169. 24 indexed citations
16.
Qi, Xue-Lian & Christos Constantinidis. (2012). Variability of Prefrontal Neuronal Discharges before and after Training in a Working Memory Task. PLoS ONE. 7(7). e41053–e41053. 45 indexed citations
17.
Qi, Xue-Lian & Christos Constantinidis. (2012). Neural changes after training to perform cognitive tasks. Behavioural Brain Research. 241. 235–243. 36 indexed citations
18.
Meyer, Travis, Xue-Lian Qi, Terrence R. Stanford, & Christos Constantinidis. (2011). Stimulus Selectivity in Dorsal and Ventral Prefrontal Cortex after Training in Working Memory Tasks. Journal of Neuroscience. 31(17). 6266–6276. 103 indexed citations
19.
Qi, Xue-Lian. (2010). Comparison of neural activity related to working memory in primate dorsolateral prefrontal and posterior parietal cortex. Frontiers in Systems Neuroscience. 4. 12–12. 59 indexed citations
20.
Ma, Chaolin, Xue-Lian Qi, Jiyun Peng, & Bao‐Ming Li. (2003). Selective deficit in no-go performance induced by blockade of prefrontal cortical α2-adrenoceptors in monkeys. Neuroreport. 14(7). 1013–1016. 58 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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