Kuan Yang

1.2k total citations
41 papers, 755 citations indexed

About

Kuan Yang is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Kuan Yang has authored 41 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Genetics. Recurrent topics in Kuan Yang's work include Inflammasome and immune disorders (7 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Molecular Biology Research (3 papers). Kuan Yang is often cited by papers focused on Inflammasome and immune disorders (7 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Molecular Biology Research (3 papers). Kuan Yang collaborates with scholars based in United States, Norway and China. Kuan Yang's co-authors include Xulei Tang, Maria Belland Olsen, João Carlos Setúbal, Øystein Sandanger, Jinjin Liu, Chengxu Ma, Conghui Guan, Na Jiang, Gregory H. Botz and Renata Pasqualini and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kuan Yang

35 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan Yang United States 15 475 151 89 77 66 41 755
Yusuke Nakano Japan 17 274 0.6× 108 0.7× 81 0.9× 81 1.1× 111 1.7× 101 1.0k
Xi Jia China 17 222 0.5× 96 0.6× 118 1.3× 37 0.5× 80 1.2× 62 894
Daniel P. Heruth United States 20 548 1.2× 105 0.7× 130 1.5× 21 0.3× 117 1.8× 54 1.1k
Yongzhong Shi China 12 536 1.1× 175 1.2× 93 1.0× 33 0.4× 43 0.7× 24 933
Shiho Yoshida Japan 11 306 0.6× 120 0.8× 106 1.2× 94 1.2× 42 0.6× 28 675
Yiming Yang China 15 203 0.4× 180 1.2× 47 0.5× 25 0.3× 56 0.8× 42 641
Jing Meng China 15 200 0.4× 276 1.8× 101 1.1× 39 0.5× 28 0.4× 25 776
Ivan Formentini Switzerland 12 535 1.1× 90 0.6× 85 1.0× 22 0.3× 64 1.0× 16 966
Yoshiharu Matsuura Japan 4 541 1.1× 74 0.5× 48 0.5× 21 0.3× 60 0.9× 5 926

Countries citing papers authored by Kuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Yang. A scholar is included among the top collaborators of Kuan 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 Kuan Yang. Kuan 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.
Lauritzen, Knut H., Kuan Yang, Michael Frisk, et al.. (2025). Apigenin inhibits NLRP3 inflammasome activation in monocytes and macrophages independently of CD38. Frontiers in Immunology. 15. 1497984–1497984. 2 indexed citations
2.
3.
Yang, Kuan, Jing Bai, Jing Chen, et al.. (2025). Single-cell transcriptomics reveals the multidimensional dynamic heterogeneity from primary to metastatic gastric cancer. iScience. 28(2). 111843–111843.
4.
Guan, Conghui, Kuan Yang, Chengxu Ma, et al.. (2025). STING1 targets MYH9 to drive adipogenesis through the AKT/GSK3β/β-catenin pathway. Biochemical and Biophysical Research Communications. 749. 151352–151352.
5.
6.
Liu, Jinjin, Na Jiang, Kuan Yang, et al.. (2023). Codonopsis pilosula polysaccharides promote osteogenic differentiation and inhibit lipogenic differentiation of rat bone marrow stem cells by activating β-catenin. Chemico-Biological Interactions. 385. 110721–110721. 8 indexed citations
7.
Guan, Conghui, Songbo Fu, Donghu Zhen, et al.. (2022). Metabolic (Dysfunction)-Associated Fatty Liver Disease in Chinese Patients with Type 2 Diabetes from a Subcenter of the National Metabolic Management Center. Journal of Diabetes Research. 2022. 1–9. 15 indexed citations
8.
Han, Jie, et al.. (2022). The Role of NRF2 in Bone Metabolism – Friend or Foe?. Frontiers in Endocrinology. 13. 813057–813057. 48 indexed citations
9.
Olsen, Maria Belland, Mirta Mittelstedt Leal de Sousa, Sarah Louise Murphy, et al.. (2022). DNA Repair Mechanisms are Activated in Circulating Lymphocytes of Hospitalized Covid-19 Patients. Journal of Inflammation Research. Volume 15. 6629–6644. 6 indexed citations
10.
Dahl, Tuva B., Kuan Yang, Trine Ranheim, et al.. (2021). Critical COVID‐19 is associated with distinct leukocyte phenotypes and transcriptome patterns. Journal of Internal Medicine. 290(3). 677–692. 17 indexed citations
11.
Lauritzen, Knut H., Maria Belland Olsen, Mohammed Shakil Ahmed, et al.. (2021). Instability in NAD+ metabolism leads to impaired cardiac mitochondrial function and communication. eLife. 10. 26 indexed citations
12.
Olsen, Maria Belland, Ida Gregersen, Øystein Sandanger, et al.. (2021). Targeting the Inflammasome in Cardiovascular Disease. JACC Basic to Translational Science. 7(1). 84–98. 105 indexed citations
13.
Chen, Yun, Lina Wu, Kuan Yang, et al.. (2021). Use of RNAi With OsMYB76R as a Reporter for Candidate Genes Can Efficiently Create and Verify Gametophytic Male Sterility in Rice. Frontiers in Plant Science. 12. 728193–728193. 1 indexed citations
14.
Kong, Xiang Yi, Sverre Holm, Tuva B. Dahl, et al.. (2021). NEIL3-deficiency increases gut permeability and contributes to a pro-atherogenic metabolic phenotype. Scientific Reports. 11(1). 19749–19749. 4 indexed citations
15.
Yang, Kuan, Xiaoning He, Wanmin Zhao, et al.. (2020). Giant cell tumor stromal cells: osteoblast lineage-derived cells secrete IL-6 and IL-10 for M2 macrophages polarization. PeerJ. 8. e9748–e9748. 4 indexed citations
16.
Yang, Kuan, Trine Ranheim, Knut H. Lauritzen, et al.. (2019). Mammalian Target of Rapamycin (mTOR) and the Proteasome Attenuates IL-1β Expression in Primary Mouse Cardiac Fibroblasts. Frontiers in Immunology. 10. 1285–1285. 13 indexed citations
17.
Lü, Yuan, et al.. (2015). Molecular genetic response of Xiphophorus maculatus–X. couchianus interspecies hybrid skin to UVB exposure. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 178. 86–92. 22 indexed citations
18.
Grene, Ruth, Haktan Suren, Kuan Yang, et al.. (2012). Mining and visualization of microarray and metabolomic data reveal extensive cell wall remodeling during winter hardening in Sitka spruce (Picea sitchensis). Frontiers in Plant Science. 3. 241–241. 9 indexed citations
19.
Yang, Kuan, et al.. (2008). Performance comparison between k-tuple distance and four model-based distances in phylogenetic tree reconstruction. Nucleic Acids Research. 36(5). e33–e33. 30 indexed citations
20.
Pirooznia, Mehdi, Ping Gong, Xin‐Yuan Guan, et al.. (2007). Cloning, analysis and functional annotation of expressed sequence tags from the Earthworm Eisenia fetida. BMC Bioinformatics. 8(S7). S7–S7. 47 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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