Gefu Chi

1.1k total citations
22 papers, 918 citations indexed

About

Gefu Chi is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Gefu Chi has authored 22 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Gefu Chi's work include Immune Response and Inflammation (8 papers), Pneumonia and Respiratory Infections (4 papers) and NF-κB Signaling Pathways (4 papers). Gefu Chi is often cited by papers focused on Immune Response and Inflammation (8 papers), Pneumonia and Respiratory Infections (4 papers) and NF-κB Signaling Pathways (4 papers). Gefu Chi collaborates with scholars based in China, United States and Saint Kitts and Nevis. Gefu Chi's co-authors include Haihua Feng, Lanan Wassy Soromou, Xuming Deng, Meixia Huo, Jingyuan Wei, Dacheng Wang, Shuang Guan, Qianchao Wu, Na Chen and Shuhua Zhao and has published in prestigious journals such as Molecules, Journal of Cellular Physiology and Microbes and Infection.

In The Last Decade

Gefu Chi

22 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gefu Chi China 15 443 189 182 171 139 22 918
Zuqing Su China 23 491 1.1× 142 0.8× 189 1.0× 98 0.6× 193 1.4× 43 1.2k
Chau‐Jong Wang Taiwan 19 513 1.2× 113 0.6× 169 0.9× 108 0.6× 143 1.0× 32 1.2k
Lanxiang Jiang China 14 322 0.7× 128 0.7× 153 0.8× 93 0.5× 121 0.9× 19 750
Zunpeng Shu China 17 362 0.8× 116 0.6× 225 1.2× 104 0.6× 149 1.1× 45 882
Ana Cárdeno Spain 23 546 1.2× 227 1.2× 262 1.4× 185 1.1× 198 1.4× 26 1.7k
Lanan Wassy Soromou China 22 607 1.4× 273 1.4× 313 1.7× 290 1.7× 220 1.6× 25 1.4k
Dae-Hun Park South Korea 21 517 1.2× 97 0.5× 197 1.1× 167 1.0× 185 1.3× 83 1.2k
Su‐In Cho South Korea 18 442 1.0× 85 0.4× 162 0.9× 122 0.7× 164 1.2× 119 950
Hyun‐Jae Jang South Korea 21 559 1.3× 103 0.5× 299 1.6× 129 0.8× 198 1.4× 64 1.2k
Nam–Hui Yim South Korea 21 602 1.4× 95 0.5× 214 1.2× 97 0.6× 172 1.2× 57 1.1k

Countries citing papers authored by Gefu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Gefu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gefu Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Gefu Chi. A scholar is included among the top collaborators of Gefu Chi 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 Gefu Chi. Gefu Chi 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.
Wang, Haiting, Juan Fang, Hongxiang Sun, et al.. (2023). Isorhamnetin as a novel inhibitor of pneumolysin against Streptococcus pneumoniae infection in vivo/in vitro. Microbial Pathogenesis. 185. 106382–106382. 3 indexed citations
2.
Fang, Juan, Deyuan Ou, Jingwen Xu, et al.. (2022). Therapeutic potential of kaempferol on Streptococcus pneumoniae infection. Microbes and Infection. 25(3). 105058–105058. 14 indexed citations
3.
Zhang, Can, et al.. (2022). Alnustone inhibits Streptococcus pneumoniae virulence by targeting pneumolysin and sortase A. Fitoterapia. 162. 105261–105261. 4 indexed citations
4.
Wang, Tian, et al.. (2022). Shionone-Targeted Pneumolysin to Ameliorate Acute Lung Injury Induced by Streptococcus pneumoniae In Vivo and In Vitro. Molecules. 27(19). 6258–6258. 8 indexed citations
5.
Wu, Lin, Yue Wang, Gefu Chi, et al.. (2019). Morin reduces inflammatory responses and alleviates lipid accumulation in hepatocytes. Journal of Cellular Physiology. 234(11). 19785–19798. 17 indexed citations
6.
Lv, Qianghua, et al.. (2019). Quercetin, a pneumolysin inhibitor, protects mice against Streptococcus pneumoniae infection. Microbial Pathogenesis. 140. 103934–103934. 25 indexed citations
7.
Li, Yang, Gefu Chi, Bingyu Shen, Ye Tian, & Haihua Feng. (2016). Isorhamnetin ameliorates LPS-induced inflammatory response through downregulation of NF-κB signaling. Inflammation. 39(4). 1291–1301. 57 indexed citations
8.
Chi, Gefu, Weiting Zhong, Yan Liu, et al.. (2015). Isorhamnetin protects mice from lipopolysaccharide-induced acute lung injury via the inhibition of inflammatory responses. Inflammation Research. 65(1). 33–41. 48 indexed citations
9.
Qiu, Jiaming, et al.. (2015). Pretreatment with the compound asperuloside decreases acute lung injury via inhibiting MAPK and NF-κB signaling in a murine model. International Immunopharmacology. 31. 109–115. 38 indexed citations
10.
Li, Yang, Qianchao Wu, Yanhong Deng, et al.. (2015). D(−)-Salicin inhibits the LPS-induced inflammation in RAW264.7 cells and mouse models. International Immunopharmacology. 26(2). 286–294. 38 indexed citations
11.
Chen, Na, Qianchao Wu, Gefu Chi, et al.. (2013). Prime-O-glucosylcimifugin attenuates lipopolysaccharide-induced acute lung injury in mice. International Immunopharmacology. 16(2). 139–147. 42 indexed citations
12.
Huo, Meixia, Lanxiang Jiang, Xuming Deng, et al.. (2013). Suppression of LPS-induced inflammatory responses by gossypol in RAW 264.7 cells and mouse models. International Immunopharmacology. 15(2). 442–449. 37 indexed citations
13.
Chen, Xiaojun, Xiaofeng Yang, Tianjiao Liu, et al.. (2012). Kaempferol regulates MAPKs and NF-κB signaling pathways to attenuate LPS-induced acute lung injury in mice. International Immunopharmacology. 14(2). 209–216. 149 indexed citations
14.
Zhong, Weiting, Gefu Chi, Lanxiang Jiang, et al.. (2012). p-Cymene Modulates In Vitro and In Vivo Cytokine Production by Inhibiting MAPK and NF-κB Activation. Inflammation. 36(3). 529–537. 50 indexed citations
15.
Huo, Meixia, Jiangdong Xue, Gefu Chi, et al.. (2012). Anti-inflammatory effects of linalool in RAW 264.7 macrophages and lipopolysaccharide-induced lung injury model. Journal of Surgical Research. 180(1). e47–e54. 176 indexed citations
16.
Chi, Gefu, Miaomiao Wei, Xianxing Xie, et al.. (2012). Suppression of MAPK and NF-κB Pathways by Limonene Contributes to Attenuation of Lipopolysaccharide-Induced Inflammatory Responses in Acute Lung Injury. Inflammation. 36(2). 501–511. 108 indexed citations
17.
Huo, Meixia, Na Chen, Gefu Chi, et al.. (2011). Traditional medicine alpinetin inhibits the inflammatory response in Raw 264.7 cells and mouse models. International Immunopharmacology. 12(1). 241–248. 61 indexed citations
18.
Chi, Gefu. (2008). Effects of Fluoride on the Gene Expression of c-fos and c-jun in Fibroblast and Osteoblast. 1 indexed citations
19.
Chi, Gefu. (2005). The Present Domestic Pharmacological Advance on Scutellaria Baicalensis. 3 indexed citations
20.
Chi, Gefu. (2005). Isolation,Identification and Drug Resistance Detection of Klebsiella Pneumoniae Causing Infantile Diarrhea. 1 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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