Lu Qi

420 total citations · 1 hit paper
8 papers, 291 citations indexed

About

Lu Qi is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Lu Qi has authored 8 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Physiology and 1 paper in Molecular Biology. Recurrent topics in Lu Qi's work include Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neuroscience and Neural Engineering (2 papers). Lu Qi is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neuroscience and Neural Engineering (2 papers). Lu Qi collaborates with scholars based in China, United States and United Kingdom. Lu Qi's co-authors include Xile Zhou, Yongfeng Ding, Guosheng Wu, Wenguang He, Weiqin Jiang, Ye Feng, Weixiang Zhong, Yinjun He, Qinsong Sheng and Hanju Hua and has published in prestigious journals such as Journal of Neuroscience, Anesthesiology and Frontiers in Immunology.

In The Last Decade

Lu Qi

7 papers receiving 290 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exhausted CD8+T Cells in the Tumor Immune Microenvironment: New Pathways to Therapy

2021 225 citations Weiqin Jiang, Yinjun He et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Qi China	6	147	143	95	32	31	8	291
Xiumao Li China	7	78 0.5×	115 0.8×	109 1.1×	19 0.6×	36 1.2×	11	276
Ernesto López Chile	9	164 1.1×	283 2.0×	114 1.2×	22 0.7×	29 0.9×	13	486
Cristina Zalfa Italy	12	75 0.5×	120 0.8×	110 1.2×	64 2.0×	55 1.8×	15	347
Berta Segura‐Collar Spain	11	91 0.6×	91 0.6×	156 1.6×	27 0.8×	56 1.8×	20	327
Song Baik United Kingdom	11	121 0.8×	380 2.7×	146 1.5×	25 0.8×	36 1.2×	12	597
Guy Brachya Israel	6	134 0.9×	108 0.8×	223 2.3×	76 2.4×	62 2.0×	7	383
Arnell Carter United States	8	90 0.6×	92 0.6×	216 2.3×	24 0.8×	21 0.7×	8	350
Matthieu Martinet France	6	203 1.4×	74 0.5×	109 1.1×	36 1.1×	79 2.5×	14	320
Jianghong Cheng China	11	73 0.5×	160 1.1×	152 1.6×	14 0.4×	66 2.1×	23	379
Giorgia Benigni Italy	8	133 0.9×	274 1.9×	85 0.9×	39 1.2×	25 0.8×	8	438

Countries citing papers authored by Lu Qi

Since Specialization

Citations

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

Fields of papers citing papers by Lu Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Qi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lin, Song, et al.. (2024). Wireless activation of dopamine neurons for rapid regulation of depression-related behaviors by upconversion optogenetics. Nano Today. 61. 102587–102587. 2 indexed citations

2.

Qi, Lu, et al.. (2022). A Social Emotional Learning Training Programme in a Poor Rural Primary School in Central China: A Pre-Post Intervention Study. Healthcare. 10(11). 2332–2332.

3.

Jiang, Weiqin, Yinjun He, Wenguang He, et al.. (2021). Exhausted CD8+T Cells in the Tumor Immune Microenvironment: New Pathways to Therapy. Frontiers in Immunology. 11. 622509–622509. 225 indexed citations breakdown →

4.

Qi, Lu, Yongchao Zhang, Xiaohua Wu, et al.. (2020). Nuclear Factor I/A Controls A-fiber Nociceptor Development. Neuroscience Bulletin. 36(7). 685–695. 9 indexed citations

5.

Wang, Qun, Xiaolan He, Shibin Du, et al.. (2020). Synaptic Dynamics of the Feed-forward Inhibitory Circuitry Gating Mechanical Allodynia in Mice. Anesthesiology. 132(5). 1212–1228. 10 indexed citations

6.

Qi, Lu, Chengcheng Huang, Xiaohua Wu, et al.. (2017). Hierarchical Specification of Pruriceptors by Runt-Domain Transcription Factor Runx1. Journal of Neuroscience. 37(22). 5549–5561. 18 indexed citations

7.

Qi, Lu, et al.. (2017). The role of glutamate and its receptors in central nervous system in stress-induced hyperalgesia. International Journal of Neuroscience. 128(3). 283–290. 16 indexed citations

8.

Qi, Lu, Xiaoyu Zhang, Fei Xu, et al.. (2013). Characterization of the quantitative trait locus OilA1 for oil content in Brassica napus. Theoretical and Applied Genetics. 126(10). 2499–2509. 11 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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