Fei Kuang

1.2k total citations
30 papers, 822 citations indexed

About

Fei Kuang is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Fei Kuang has authored 30 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Fei Kuang's work include Eosinophilic Esophagitis (4 papers), Eosinophilic Disorders and Syndromes (4 papers) and Immune Cell Function and Interaction (4 papers). Fei Kuang is often cited by papers focused on Eosinophilic Esophagitis (4 papers), Eosinophilic Disorders and Syndromes (4 papers) and Immune Cell Function and Interaction (4 papers). Fei Kuang collaborates with scholars based in China, United States and Germany. Fei Kuang's co-authors include Matthew D. Scharff, Sergio Roa, Jonathan U. Peled, Maria D. Iglesias-Ussel, Susan L. Kalis, Myron F. Goodman, Amy D. Klion, Zhonghui Luo, Song Su and Rui Kan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annual Review of Immunology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Fei Kuang

28 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Kuang China 13 336 328 105 86 84 30 822
Catharine J. Andresen United States 17 253 0.8× 210 0.6× 181 1.7× 91 1.1× 80 1.0× 26 833
Yingjie Nie China 16 291 0.9× 260 0.8× 159 1.5× 55 0.6× 59 0.7× 41 714
Seiji Kojima Japan 20 308 0.9× 220 0.7× 213 2.0× 98 1.1× 34 0.4× 40 1.1k
Jingjing Qi China 14 181 0.5× 289 0.9× 104 1.0× 49 0.6× 77 0.9× 38 632
Xiulan Qi United States 10 200 0.6× 467 1.4× 173 1.6× 61 0.7× 34 0.4× 16 786
Takaharu Kimura Japan 14 440 1.3× 167 0.5× 146 1.4× 71 0.8× 36 0.4× 41 787
Özge Uluçkan United States 17 329 1.0× 252 0.8× 284 2.7× 57 0.7× 121 1.4× 25 907
Graeme P. Sullivan Ireland 9 225 0.7× 485 1.5× 96 0.9× 38 0.4× 47 0.6× 13 738
Pierre Cunin United States 15 219 0.7× 432 1.3× 176 1.7× 45 0.5× 58 0.7× 21 888
Rik Janssens Belgium 14 277 0.8× 451 1.4× 430 4.1× 65 0.8× 67 0.8× 22 1.0k

Countries citing papers authored by Fei Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Kuang. A scholar is included among the top collaborators of Fei Kuang 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 Fei Kuang. Fei Kuang 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.
Zheng, Bingxin, Ranran Zhang, Fei Kuang, et al.. (2024). Schottky heterojunction CeO2@MXene nanosheets with synergistic type I and type II PDT for anti-osteosarcoma. Journal of Materials Chemistry B. 12(7). 1816–1825. 18 indexed citations
2.
Wang, Piao, et al.. (2023). Prevalence and risk factors for persistent symptoms after COVID-19: a systematic review and meta-analysis. Clinical Microbiology and Infection. 30(3). 328–335. 53 indexed citations
3.
Kuang, Fei, Thamer A Hamdan, Ute Eisenberger, et al.. (2023). Expression of Interferon Regulatory Factor 8 (IRF8) and Its Association with Infections in Dialysis Patients. Cells. 12(14). 1892–1892. 1 indexed citations
4.
Chen, Xinpei, Juan Du, Fei Kuang, et al.. (2022). Immunogenicity of COVID ‐19 vaccines in chronic liver disease patients and liver transplant recipients: A systematic review and meta‐analysis. Liver International. 43(1). 34–48. 15 indexed citations
5.
Kuang, Fei, Juan Du, Mengjia Zhou, et al.. (2022). Artificial Intelligence–Assisted Endoscopic Diagnosis of Early Upper Gastrointestinal Cancer: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 12. 855175–855175. 10 indexed citations
6.
Chen, Xinpei, Juan Du, Fei Kuang, et al.. (2022). Immunogenicity of COVID-19 Vaccines in Chronic Liver Disease Patients and Liver Transplant Recipients: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. 1 indexed citations
8.
Kuang, Fei, Yingjie Chen, Wei Shan, et al.. (2022). Biomimetic FeCo@PDA nanozyme platform with Fenton catalytic activity as efficient antibacterial agent. Journal of Materials Chemistry B. 10(29). 5582–5593. 18 indexed citations
9.
Kuang, Fei, Juan Du, Yu Gan, et al.. (2021). Characterization of the Immune Cell Infiltration Profile in Pancreatic Carcinoma to Aid in Immunotherapy. Frontiers in Oncology. 11. 677609–677609. 5 indexed citations
10.
Wen, Qiang, Xinwei Jiao, Fei Kuang, et al.. (2019). FoxO3a inhibiting expression of EPS8 to prevent progression of NSCLC: A new negative loop of EGFR signaling. EBioMedicine. 40. 198–209. 12 indexed citations
11.
Kuang, Fei, et al.. (2019). Exploring a relationship between B cells and eosinophils. Journal of Allergy and Clinical Immunology. 143(2). AB289–AB289. 1 indexed citations
12.
Kuang, Fei, Michael P. Fay, JeanAnne Ware, et al.. (2018). Long-Term Clinical Outcomes of High-Dose Mepolizumab Treatment for Hypereosinophilic Syndrome. The Journal of Allergy and Clinical Immunology In Practice. 6(5). 1518–1527.e5. 58 indexed citations
13.
Ying, Jun, Haiyang Zhou, Peng Liu, et al.. (2018). Aspirin inhibited the metastasis of colon cancer cells by inhibiting the expression of toll-like receptor 4. Cell & Bioscience. 8(1). 1–1. 43 indexed citations
14.
Liu, Yuee, Wei Huang, Xianhua Gao, & Fei Kuang. (2018). Regulation between two alternative splicing isoforms ZNF148FL and ZNF148ΔN, and their roles in the apoptosis and invasion of colorectal cancer. Pathology - Research and Practice. 215(2). 272–277. 12 indexed citations
15.
Kuang, Fei & Amy D. Klion. (2017). Biologic Agents for the Treatment of Hypereosinophilic Syndromes. The Journal of Allergy and Clinical Immunology In Practice. 5(6). 1502–1509. 32 indexed citations
16.
Hui, Hu, et al.. (2013). A Comprehensive Analysis of Soft Soil Foundation Pit Accident. Applied Mechanics and Materials. 405-408. 3–9. 2 indexed citations
18.
Kuang, Fei, et al.. (2011). Potential Application of Induced Pluripotent Stem Cells in Cell Replacement Therapy for Parkinsons Disease. CNS & Neurological Disorders - Drug Targets. 10(4). 449–458. 28 indexed citations
19.
Kuang, Fei, Zhonghui Luo, & Matthew D. Scharff. (2009). H3 trimethyl K9 and H3 acetyl K9 chromatin modifications are associated with class switch recombination. Proceedings of the National Academy of Sciences. 106(13). 5288–5293. 47 indexed citations
20.
Roa, Sergio, Elena Avdievich, Jonathan U. Peled, et al.. (2008). Ubiquitylated PCNA plays a role in somatic hypermutation and class-switch recombination and is required for meiotic progression. Proceedings of the National Academy of Sciences. 105(42). 16248–16253. 94 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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