Xinglong Gu

2.6k total citations
31 papers, 2.1k citations indexed

About

Xinglong Gu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Xinglong Gu has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Xinglong Gu's work include Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (7 papers). Xinglong Gu is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (7 papers). Xinglong Gu collaborates with scholars based in United States, China and Czechia. Xinglong Gu's co-authors include Huaibin Cai, Xian Lin, Chengsong Xie, Loukia Parisiadou, Long‐Chuan Yu, Lixin Sun, Wei Lü, Lixin Sun, Caixia Long and Jia Yu and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Xinglong Gu

30 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinglong Gu United States 22 929 921 694 595 421 31 2.1k
Alexander Zimprich Austria 32 1.6k 1.8× 1.4k 1.5× 1.1k 1.6× 551 0.9× 504 1.2× 76 3.3k
Mario Ezquerra Spain 28 1.7k 1.8× 782 0.8× 1.3k 1.9× 1.1k 1.8× 542 1.3× 85 3.0k
Miguel Verbitsky United States 20 288 0.3× 450 0.5× 930 1.3× 256 0.4× 190 0.5× 26 1.6k
Cristina Missale Italy 27 816 0.9× 1.1k 1.2× 860 1.2× 399 0.7× 155 0.4× 74 2.4k
Daniel Alvarez‐Fischer Germany 24 1.3k 1.4× 989 1.1× 904 1.3× 478 0.8× 1.1k 2.5× 44 3.1k
Cristina M. Bäckman United States 26 248 0.3× 1.4k 1.6× 1.1k 1.6× 308 0.5× 242 0.6× 41 2.3k
Marina Romero‐Ramos Denmark 32 1.8k 1.9× 1.3k 1.4× 829 1.2× 605 1.0× 1.2k 2.8× 56 3.0k
Hung‐Li Wang Taiwan 30 498 0.5× 1.3k 1.4× 1.4k 2.0× 368 0.6× 229 0.5× 63 2.2k
Nunzio Testa Italy 29 564 0.6× 944 1.0× 951 1.4× 238 0.4× 500 1.2× 40 2.3k
Jenny Sassone Italy 25 554 0.6× 991 1.1× 1.0k 1.4× 253 0.4× 117 0.3× 46 1.7k

Countries citing papers authored by Xinglong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xinglong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinglong Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinglong Gu. A scholar is included among the top collaborators of Xinglong Gu 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 Xinglong Gu. Xinglong Gu 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.
Gu, Xinglong, et al.. (2023). Neurons in the caudal ventrolateral medulla mediate descending pain control. Nature Neuroscience. 26(4). 594–605. 10 indexed citations
2.
Beas, B. Sofia, Xinglong Gu, Yan Leng, et al.. (2020). A ventrolateral medulla-midline thalamic circuit for hypoglycemic feeding. Nature Communications. 11(1). 6218–6218. 27 indexed citations
3.
Duan, Jingjing, et al.. (2019). Genetic Deletion of GABAA Receptors Reveals Distinct Requirements of Neurotransmitter Receptors for GABAergic and Glutamatergic Synapse Development. Frontiers in Cellular Neuroscience. 13. 217–217. 10 indexed citations
4.
Solinski, Hans Jürgen, Mette C. Kriegbaum, Pang‐Yen Tseng, et al.. (2019). Nppb Neurons Are Sensors of Mast Cell-Induced Itch. Cell Reports. 26(13). 3561–3573.e4. 94 indexed citations
5.
Jiang, Xueying, Sevilla D. Detera‐Wadleigh, Nirmala Akula, et al.. (2018). Sodium valproate rescues expression of TRANK1 in iPSC-derived neural cells that carry a genetic variant associated with serious mental illness. Molecular Psychiatry. 24(4). 613–624. 25 indexed citations
6.
Gu, Xinglong & Wei Lü. (2018). Genetic deletion of NMDA receptors suppresses GABAergic synaptic transmission in two distinct types of central neurons. Neuroscience Letters. 668. 147–153. 11 indexed citations
7.
Gu, Xinglong, Marc Lussier, Mary Anne Hutchison, et al.. (2016). GSG1L suppresses AMPA receptor-mediated synaptic transmission and uniquely modulates AMPA receptor kinetics in hippocampal neurons. Nature Communications. 7(1). 10873–10873. 60 indexed citations
8.
Gu, Xinglong, Liang Zhou, & Wei Lü. (2016). An NMDA Receptor-Dependent Mechanism Underlies Inhibitory Synapse Development. Cell Reports. 14(3). 471–478. 47 indexed citations
9.
Gu, Xinglong, et al.. (2015). Neurolastin, a Dynamin Family GTPase, Regulates Excitatory Synapses and Spine Density. Cell Reports. 12(5). 743–751. 19 indexed citations
10.
Dong, Zhiwei, Min Yao, Li Wang, et al.. (2013). Hypoxia-inducible Factor-1alpha: Molecular-targeted Therapy for Hepatocellular Carcinoma. Mini-Reviews in Medicinal Chemistry. 13(9). 1295–1304. 28 indexed citations
11.
12.
Gu, Xinglong, et al.. (2010). Astrocytic expression of Parkinson's disease-related A53T α-synuclein causes neurodegeneration in mice. Molecular Brain. 3(1). 12–12. 266 indexed citations
13.
Parisiadou, Loukia, Chengsong Xie, Hyun Jin Cho, et al.. (2009). Phosphorylation of Ezrin/Radixin/Moesin Proteins by LRRK2 Promotes the Rearrangement of Actin Cytoskeleton in Neuronal Morphogenesis. Journal of Neuroscience. 29(44). 13971–13980. 252 indexed citations
14.
Lin, Xian, Loukia Parisiadou, Xinglong Gu, et al.. (2009). Leucine-Rich Repeat Kinase 2 Regulates the Progression of Neuropathology Induced by Parkinson's-Disease-Related Mutant α-synuclein. Neuron. 64(6). 807–827. 407 indexed citations
15.
Gu, Xinglong & Long‐Chuan Yu. (2007). The colocalization of CGRP receptor and AMPA receptor in the spinal dorsal horn neuron of rat: A morphological and electrophysiological study. Neuroscience Letters. 414(3). 237–241. 24 indexed citations
16.
Gu, Xinglong, Yan-Gang Sun, & Long‐Chuan Yu. (2007). Involvement of galanin in nociceptive regulation in the arcuate nucleus of hypothalamus in rats with mononeuropathy. Behavioural Brain Research. 179(2). 331–335. 26 indexed citations
17.
Gu, Xinglong, et al.. (2007). The neural pathway of galanin in the hypothalamic arcuate nucleus of rats: Activation of beta‐endorphinergic neurons projecting to periaqueductal gray matter. Journal of Neuroscience Research. 85(11). 2400–2406. 19 indexed citations
18.
Sun, Yan-Gang, Xinglong Gu, Thomas Lundeberg, & Long‐Chuan Yu. (2003). An antinociceptive role of galanin in the arcuate nucleus of hypothalamus in intact rats and rats with inflammation. Pain. 106(1). 143–150. 48 indexed citations
19.
Gu, Xinglong, A.L. Blatz, & D.C. German. (1992). Subtypes of substantia nigra dopaminergic neurons revealed by apamin: Autoradiographic and electrophysiological studies. Brain Research Bulletin. 28(3). 435–440. 27 indexed citations
20.
Bernardini, G. L., Xinglong Gu, & D.C. German. (1991). Nucleus A10 dopaminergic neurons in inbred mouse strains: Firing rate and autoreceptor sensitivity are independent of the number of cells in the nucleus. Brain Research Bulletin. 27(2). 163–168. 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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