Feidi Chen

1.9k total citations · 2 hit papers
17 papers, 1.5k citations indexed

About

Feidi Chen is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Feidi Chen has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Feidi Chen's work include Immune Cell Function and Interaction (6 papers), Gut microbiota and health (5 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Feidi Chen is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Gut microbiota and health (5 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Feidi Chen collaborates with scholars based in United States and China. Feidi Chen's co-authors include Yingzi Cong, Zhanju Liu, Wei Wu, Suxia Yao, Mingming Sun, Xiangsheng Huang, Yi Xiao, Qihong Zhao, Wenjing Yang and Sara M. Dann and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Gastroenterology.

In The Last Decade

Feidi Chen

16 papers receiving 1.5k citations

Hit Papers

Microbiota-derived short-chain fatty acids promote Th1 ce... 2018 2026 2020 2023 2018 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feidi Chen United States 13 866 470 246 240 238 17 1.5k
Anthony J. Bilotta United States 11 1.0k 1.2× 299 0.6× 245 1.0× 196 0.8× 295 1.2× 20 1.5k
Jeremy Herzog United States 17 863 1.0× 372 0.8× 208 0.8× 280 1.2× 290 1.2× 41 1.6k
Leiqi Xu China 14 957 1.1× 284 0.6× 174 0.7× 162 0.7× 238 1.0× 22 1.5k
Anthony Cao United States 23 730 0.8× 737 1.6× 229 0.9× 240 1.0× 160 0.7× 34 1.8k
Daren Low United States 9 773 0.9× 257 0.5× 168 0.7× 286 1.2× 218 0.9× 11 1.3k
Marlies Meisel United States 15 768 0.9× 478 1.0× 314 1.3× 162 0.7× 215 0.9× 22 1.5k
Kwang Soon Kim South Korea 16 927 1.1× 699 1.5× 196 0.8× 198 0.8× 281 1.2× 35 1.9k
Tianming Yu China 12 771 0.9× 501 1.1× 132 0.5× 244 1.0× 186 0.8× 22 1.4k
Jiani Chai United States 12 682 0.8× 415 0.9× 226 0.9× 177 0.7× 154 0.6× 22 1.3k
Julie Schulthess France 9 570 0.7× 473 1.0× 162 0.7× 132 0.6× 170 0.7× 13 1.3k

Countries citing papers authored by Feidi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Feidi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feidi Chen

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

All Works

17 of 17 papers shown
1.
Chen, Feidi & Raul S. González. (2024). Evaluation of enterochromaffin-like cell hyperplasia can help categorize patients with Helicobacter-negative atrophic gastritis. American Journal of Clinical Pathology. 163(4). 601–609.
2.
Xiao, Yi, Xiangsheng Huang, Ye Zhao, et al.. (2019). Interleukin-33 Promotes REG3γ Expression in Intestinal Epithelial Cells and Regulates Gut Microbiota. Cellular and Molecular Gastroenterology and Hepatology. 8(1). 21–36. 38 indexed citations
3.
Yang, Wenjing, Yi Xiao, Xiangsheng Huang, et al.. (2019). Microbiota Metabolite Short-Chain Fatty Acids Facilitate Mucosal Adjuvant Activity of Cholera Toxin through GPR43. The Journal of Immunology. 203(1). 282–292. 47 indexed citations
4.
Chen, Feidi, Wenjing Yang, Xiangsheng Huang, et al.. (2018). Neutrophils Promote Amphiregulin Production in Intestinal Epithelial Cells through TGF-β and Contribute to Intestinal Homeostasis. The Journal of Immunology. 201(8). 2492–2501. 49 indexed citations
5.
Sun, Mingming, Chong He, Liang Chen, et al.. (2018). RORγt Represses IL-10 Production in Th17 Cells To Maintain Their Pathogenicity in Inducing Intestinal Inflammation. The Journal of Immunology. 202(1). 79–92. 27 indexed citations
6.
Sun, Mingming, Wei Wu, Liang Chen, et al.. (2018). Microbiota-derived short-chain fatty acids promote Th1 cell IL-10 production to maintain intestinal homeostasis. Nature Communications. 9(1). 3555–3555. 483 indexed citations breakdown →
7.
Chen, Feidi, Wei Wu, Mingming Sun, et al.. (2018). GPR43 mediates microbiota metabolite SCFA regulation of antimicrobial peptide expression in intestinal epithelial cells via activation of mTOR and STAT3. Mucosal Immunology. 11(3). 752–762. 380 indexed citations breakdown →
8.
Wu, Wei, Mingming Sun, Feidi Chen, et al.. (2017). Microbiota Metabolite Short Chain Fatty Acid Acetate Promotes Intestinal IgA Response to Microbiota which is Mediated by GPR43. Gastroenterology. 152(5). S199–S199. 7 indexed citations
9.
Huang, Xiangsheng, et al.. (2017). IL-17 promotes intestinal IgA response to intestinal infection but does not affect memory B cell development. The Journal of Immunology. 198(Supplement_1). 200.16–200.16. 1 indexed citations
10.
Zhou, Guangxi, Yu Lin, Leilei Fang, et al.. (2017). CD177+ neutrophils as functionally activated neutrophils negatively regulate IBD. Gut. 67(6). 1052–1063. 194 indexed citations
11.
Liu, Han, Feidi Chen, Wei Wu, et al.. (2016). TLR5 mediates CD172α+ intestinal lamina propria dendritic cell induction of Th17 cells. Scientific Reports. 6(1). 22040–22040. 37 indexed citations
12.
Wu, Wei, Feidi Chen, Zhanju Liu, & Yingzi Cong. (2016). Microbiota-specific Th17 Cells. Inflammatory Bowel Diseases. 22(6). 1473–1482. 41 indexed citations
13.
Chen, Feidi, Wei Wu, & Yingzi Cong. (2016). Short chain fatty acids regulation of neutrophil production of IL-10. The Journal of Immunology. 196(1_Supplement). 207.6–207.6. 1 indexed citations
14.
Wu, Wei, Feidi Chen, Han Liu, et al.. (2016). Commensal A4 bacteria inhibit intestinal Th2‐cell responses through induction of dendritic cell TGF‐β production. European Journal of Immunology. 46(5). 1162–1167. 40 indexed citations
15.
Chen, Feidi, Anthony Cao, Suxia Yao, et al.. (2016). mTOR Mediates IL-23 Induction of Neutrophil IL-17 and IL-22 Production. The Journal of Immunology. 196(10). 4390–4399. 89 indexed citations
16.
Evans‐Marin, Heather, Anthony Cao, Suxia Yao, et al.. (2015). Unexpected Regulatory Role of CCR9 in Regulatory T Cell Development. PLoS ONE. 10(7). e0134100–e0134100. 33 indexed citations
17.
Chen, Xi, Weiwen Sun, Ying Pan, et al.. (2013). Lithium ameliorates open-field and elevated plus maze behaviors, and brain phospho-glycogen synthase kinase 3-beta expression in fragile X syndrome model mice.. PubMed. 18(4). 356–62. 14 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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