Guangchen Ji

4.1k total citations
73 papers, 3.3k citations indexed

About

Guangchen Ji is a scholar working on Physiology, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Guangchen Ji has authored 73 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Physiology, 40 papers in Cellular and Molecular Neuroscience and 19 papers in Behavioral Neuroscience. Recurrent topics in Guangchen Ji's work include Pain Mechanisms and Treatments (49 papers), Neuropeptides and Animal Physiology (21 papers) and Stress Responses and Cortisol (19 papers). Guangchen Ji is often cited by papers focused on Pain Mechanisms and Treatments (49 papers), Neuropeptides and Animal Physiology (21 papers) and Stress Responses and Cortisol (19 papers). Guangchen Ji collaborates with scholars based in United States, China and Hungary. Guangchen Ji's co-authors include Volker Neugebauer, Yu Fu, Hita Adwanikar, Takaki Kiritoshi, Jeong Seok Han, Zhen Li, Hao Sun, Miguel Pais-Vieira, Zhen Li and Vasco Galhardo and has published in prestigious journals such as Science, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Guangchen Ji

70 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangchen Ji United States 33 2.0k 1.7k 701 596 585 73 3.3k
Michael M. Morgan United States 40 2.9k 1.5× 2.6k 1.5× 875 1.2× 994 1.7× 503 0.9× 125 4.4k
Edita Navratilova United States 34 2.0k 1.0× 1.5k 0.9× 846 1.2× 865 1.5× 253 0.4× 101 3.7k
Tamara King United States 38 3.2k 1.6× 1.7k 1.0× 750 1.1× 871 1.5× 310 0.5× 86 4.7k
Gen-Cheng Wu China 35 1.5k 0.8× 1.1k 0.6× 309 0.4× 782 1.3× 521 0.9× 126 3.7k
Michelle Roche Ireland 29 863 0.4× 975 0.6× 596 0.9× 328 0.6× 630 1.1× 89 2.8k
Benjamin Kest United States 32 1.9k 1.0× 1.7k 1.0× 294 0.4× 907 1.5× 415 0.7× 69 3.5k
Elaine Aparecida Del Bel Brazil 32 861 0.4× 1.5k 0.9× 295 0.4× 667 1.1× 347 0.6× 130 3.1k
Giannina Descalzi Canada 24 1.4k 0.7× 1.3k 0.8× 784 1.1× 870 1.5× 205 0.4× 38 2.9k
Sonya G. Wilson United States 22 1.7k 0.9× 1.1k 0.6× 308 0.4× 603 1.0× 269 0.5× 26 2.8k
Kohei Koga Japan 28 1.7k 0.9× 1.5k 0.9× 681 1.0× 823 1.4× 160 0.3× 57 2.8k

Countries citing papers authored by Guangchen Ji

Since Specialization
Citations

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

Fields of papers citing papers by Guangchen Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangchen Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Guangchen Ji. A scholar is included among the top collaborators of Guangchen Ji 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 Guangchen Ji. Guangchen Ji 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.
Qin, Jiaxin, Ziqi Wang, Qian Cheng, et al.. (2025). NupR Is Involved in the Control of PlcR: A Pleiotropic Regulator of Extracellular Virulence Factors. Microorganisms. 13(1). 212–212.
2.
Mazzitelli, Mariacristina, et al.. (2025). BDNF Signaling and Pain Modulation. Cells. 14(7). 476–476. 5 indexed citations
4.
Shen, Chwan‐Li, Moamen M. Elmassry, Guangchen Ji, et al.. (2024). Ginger Polyphenols Reverse Molecular Signature of Amygdala Neuroimmune Signaling and Modulate Microbiome in Male Rats with Neuropathic Pain: Evidence for Microbiota–Gut–Brain Axis. Antioxidants. 13(5). 502–502. 3 indexed citations
5.
Yakhnitsa, Vadim, Jeremy M. Thompson, О. А. Пономарева, et al.. (2024). Dysfunction of Small-Conductance Ca2+-Activated Potassium (SK) Channels Drives Amygdala Hyperexcitability and Neuropathic Pain Behaviors: Involvement of Epigenetic Mechanisms. Cells. 13(12). 1055–1055. 4 indexed citations
6.
Shen, Chwan‐Li, Hitesh Deshmukh, Jorge M. Santos, et al.. (2024). Fecal Microbiota Transplantation Modulates Gut Microbiome Composition and Glial Signaling in Brain and Colon of Rats with Neuropathic Pain: Evidence for Microbiota-Gut-Brain Axis. The Journal of Frailty & Aging. 13(4). 319–330. 3 indexed citations
8.
Ji, Guangchen, et al.. (2023). Hmgb1 Silencing in the Amygdala Inhibits Pain-Related Behaviors in a Rat Model of Neuropathic Pain. International Journal of Molecular Sciences. 24(15). 11944–11944. 8 indexed citations
9.
Navratilova, Edita, Chaoling Qu, Guangchen Ji, et al.. (2023). Opposing Effects on Descending Control of Nociception by µ and κ Opioid Receptors in the Anterior Cingulate Cortex. Anesthesiology. 140(2). 272–283. 11 indexed citations
10.
Neugebauer, Volker, et al.. (2023). Pain-related cortico-limbic plasticity and opioid signaling. Neuropharmacology. 231. 109510–109510. 14 indexed citations
11.
Yakhnitsa, Vadim, Guangchen Ji, О. А. Пономарева, et al.. (2022). Kappa Opioid Receptor Blockade in the Amygdala Mitigates Pain Like-Behaviors by Inhibiting Corticotropin Releasing Factor Neurons in a Rat Model of Functional Pain. Frontiers in Pharmacology. 13. 903978–903978. 21 indexed citations
12.
Moore, David L., et al.. (2018). Optical tissue clearing in combination with perfusion and immunofluorescence for placental vascular imaging. Medicine. 97(39). e12392–e12392. 9 indexed citations
13.
Kiritoshi, Takaki, Guangchen Ji, & Volker Neugebauer. (2016). Rescue of Impaired mGluR5-Driven Endocannabinoid Signaling Restores Prefrontal Cortical Output to Inhibit Pain in Arthritic Rats. Journal of Neuroscience. 36(3). 837–850. 107 indexed citations
14.
Ji, Guangchen, Zhen Li, & Volker Neugebauer. (2015). Reactive oxygen species mediate visceral pain–related amygdala plasticity and behaviors. Pain. 156(5). 825–836. 47 indexed citations
15.
Jiang, Wen‐An, Huaxiong Huang, Liya Ding, et al.. (2014). Regulation of cell cycle of hepatocellular carcinoma by NF90 through modulation of cyclin E1 mRNA stability. Oncogene. 34(34). 4460–4470. 59 indexed citations
16.
Pernía‐Andrade, Alejandro J., Robert Witschi, Rita Nyilas, et al.. (2009). Spinal Endocannabinoids and CB 1 Receptors Mediate C-Fiber–Induced Heterosynaptic Pain Sensitization. Science. 325(5941). 760–764. 149 indexed citations
17.
Ji, Guangchen & Volker Neugebauer. (2007). Differential Effects of CRF1 and CRF2 Receptor Antagonists on Pain-Related Sensitization of Neurons in the Central Nucleus of the Amygdala. Journal of Neurophysiology. 97(6). 3893–3904. 102 indexed citations
18.
Carlton, Susan M., Shengtai Zhou, Junhui Du, et al.. (2004). Somatostatin modulates the transient receptor potential vanilloid 1 (TRPV1) ion channel. Pain. 110(3). 616–627. 65 indexed citations
19.
Ji, Guangchen, Yu‐Qiu Zhang, Fei Ma, Xiao-Ding Cao, & Gen-Cheng Wu. (2002). Inhibitory effects of intrathecally administered interleukin-1β on carrageenan-induced hyperalgesia and spinal c-Fos expression in rats. Neuroscience Letters. 328(2). 137–140. 4 indexed citations
20.
Gao, Xiu, et al.. (2001). Expression of 5-HT2A receptor mRNA in rat spinal dorsal horn and some nuclei of brainstem after peripheral inflammation. Brain Research. 900(1). 146–151. 33 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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