Qingfeng Yang

1.4k total citations
28 papers, 1.1k citations indexed

About

Qingfeng Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Qingfeng Yang has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Qingfeng Yang's work include Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (4 papers) and NF-κB Signaling Pathways (4 papers). Qingfeng Yang is often cited by papers focused on Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (4 papers) and NF-κB Signaling Pathways (4 papers). Qingfeng Yang collaborates with scholars based in United States, China and Hungary. Qingfeng Yang's co-authors include Yong Lin, Zheng-gang Liu, Sergei A. Nedospasov, Gang Min Hur, Swati Choksi, Han‐Ming Shen, You Sun Kim, Joseph Lewis, Harvey B. Pollard and H. Caohuy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Qingfeng Yang

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfeng Yang United States 15 688 260 194 127 108 28 1.1k
Yu‐Chi Chen China 19 465 0.7× 297 1.1× 114 0.6× 115 0.9× 139 1.3× 66 1.1k
Jin‐Chul Kim South Korea 27 972 1.4× 430 1.7× 116 0.6× 138 1.1× 141 1.3× 90 2.0k
Mingxia Zhou China 19 911 1.3× 231 0.9× 400 2.1× 148 1.2× 127 1.2× 49 1.4k
Hyun‐Mee Oh South Korea 24 585 0.9× 432 1.7× 181 0.9× 95 0.7× 202 1.9× 55 1.4k
Gao Tan China 14 662 1.0× 214 0.8× 133 0.7× 62 0.5× 87 0.8× 26 1.0k
Suzana D. Savkovic United States 20 564 0.8× 234 0.9× 189 1.0× 75 0.6× 90 0.8× 39 1.2k
Luguo Sun China 20 745 1.1× 138 0.5× 190 1.0× 69 0.5× 167 1.5× 65 1.3k
Lingling Sun China 22 622 0.9× 223 0.9× 105 0.5× 79 0.6× 216 2.0× 76 1.5k
Hitoshi Tsugawa Japan 25 719 1.0× 309 1.2× 362 1.9× 173 1.4× 163 1.5× 54 1.8k
Aeyung Kim South Korea 21 715 1.0× 147 0.6× 115 0.6× 83 0.7× 165 1.5× 62 1.1k

Countries citing papers authored by Qingfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Yang. A scholar is included among the top collaborators of Qingfeng Yang 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 Qingfeng Yang. Qingfeng Yang 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.
Wen, Xiangyuan, James D. Morton, Xiaoyu Chai, et al.. (2024). Contribution of mono- and co-culture of Pseudomonas paralactis, Acinetobacter MN21 and Stenotrophomonas maltophilia to the spoilage of chill-stored lamb. Food Research International. 186. 114313–114313. 11 indexed citations
2.
Yang, Qingfeng, et al.. (2024). Characterization of the relationship between metabolites and elements of meat from four Tibetan sheep breeds through untargeted metabolomics and multi-element analysis. Journal of Food Composition and Analysis. 134. 106583–106583. 2 indexed citations
3.
Caohuy, H., Ofer Eidelman, Qingfeng Yang, et al.. (2024). Inflammation in the COVID-19 airway is due to inhibition of CFTR signaling by the SARS-CoV-2 spike protein. Scientific Reports. 14(1). 16895–16895. 3 indexed citations
4.
Zhang, Jingtao, et al.. (2023). Ze-Qi decoction inhibits non-small cell lung cancer growth and metastasis by modulating the PI3K/Akt/p53 signaling pathway. Journal of Traditional and Complementary Medicine. 13(5). 417–429. 4 indexed citations
5.
6.
Caohuy, H., Ofer Eidelman, Shufeng Liu, et al.. (2021). Common cardiac medications potently inhibit ACE2 binding to the SARS-CoV-2 Spike, and block virus penetration and infectivity in human lung cells. Scientific Reports. 11(1). 22195–22195. 18 indexed citations
7.
8.
Jia, Shiliang, Hui Hong, Qingfeng Yang, et al.. (2020). TMT-based proteomic analysis of the fish-borne spoiler Pseudomonas psychrophila subjected to chitosan oligosaccharides in fish juice system. Food Microbiology. 90. 103494–103494. 33 indexed citations
9.
Yang, Qingfeng, Anthony R. Soltis, Gauthaman Sukumar, et al.. (2019). Gene therapy-emulating small molecule treatments in cystic fibrosis airway epithelial cells and patients. Respiratory Research. 20(1). 290–290. 10 indexed citations
10.
Suckow, Mark A., William R. Wolter, Ofer Eidelman, et al.. (2019). Digitoxin Inhibits Epithelial-to-Mesenchymal-Transition in Hereditary Castration Resistant Prostate Cancer. Frontiers in Oncology. 9. 630–630. 13 indexed citations
11.
Jiang, Yan, Conor Dennehy, Peadar G. Lawlor, et al.. (2018). Inactivation of Salmonella during dry co-digestion of food waste and pig manure. Waste Management. 82. 231–240. 36 indexed citations
12.
Wang, Hua, Liudmila Cebotaru, Ha Won Lee, et al.. (2016). CFTR Controls the Activity of NF-κB by Enhancing the Degradation of TRADD. Cellular Physiology and Biochemistry. 40(5). 1063–1078. 30 indexed citations
13.
14.
Yang, Qingfeng, et al.. (2013). Digitoxin induces apoptosis in cancer cells by inhibiting nuclear factor of activated T-cells-driven c-MYC expression. Journal of Carcinogenesis. 12(1). 8–8. 19 indexed citations
15.
Yang, Wanjie, et al.. (2013). Review on the development of genotyping methods for assessing farm animal diversity. Journal of Animal Science and Biotechnology. 4(1). 2–2. 79 indexed citations
16.
Lin, Yong, Qingfeng Yang, Xia Wang, & Zheng-gang Liu. (2006). The Essential Role of the Death Domain Kinase Receptor-interacting Protein in Insulin Growth Factor-I-induced c-Jun N-terminal Kinase Activation. Journal of Biological Chemistry. 281(33). 23525–23532. 16 indexed citations
17.
Tchilibon, Susanna, Jian Zhang, Qingfeng Yang, et al.. (2005). Amphiphilic pyridinium salts block TNFα/NFκB signaling and constitutive hypersecretion of interleukin-8 (IL-8) from cystic fibrosis lung epithelial cells. Biochemical Pharmacology. 70(3). 381–393. 20 indexed citations
18.
Lin, Yong, Swati Choksi, Han‐Ming Shen, et al.. (2004). Tumor Necrosis Factor-induced Nonapoptotic Cell Death Requires Receptor-interacting Protein-mediated Cellular Reactive Oxygen Species Accumulation. Journal of Biological Chemistry. 279(11). 10822–10828. 354 indexed citations
19.
Hur, Gang Min, Joseph Lewis, Qingfeng Yang, et al.. (2003). The death domain kinase RIP has an essential role in DNA damage-induced NF-κB activation. Genes & Development. 17(7). 873–882. 121 indexed citations
20.
Yang, Qingfeng, et al.. (2001). Inhibition of rat PC12 cell calpain activity by glutathione, oxidized glutathione and nitric oxide. Neuroscience Letters. 311(2). 129–132. 12 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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