Kun Yan

787 total citations
31 papers, 607 citations indexed

About

Kun Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Kun Yan has authored 31 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Cell Biology. Recurrent topics in Kun Yan's work include Cancer-related molecular mechanisms research (4 papers), Bone Metabolism and Diseases (4 papers) and interferon and immune responses (3 papers). Kun Yan is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Bone Metabolism and Diseases (4 papers) and interferon and immune responses (3 papers). Kun Yan collaborates with scholars based in China, United States and Taiwan. Kun Yan's co-authors include Qiaoran Xi, Lifang Hu, Airong Qian, Zhihao Chen, Xinxin Ci, Runzhi Li, Peihong Su, Fung‐Ming Siu, Ben C.B. Ko and Chun‐Nam Lok and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Kun Yan

29 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Yan China	15	412	131	81	72	58	31	607
Chandran S. Abhinand India	9	292 0.7×	86 0.7×	58 0.7×	33 0.5×	34 0.6×	30	512
Fatemeh Rezaei‐Tazangi Iran	12	277 0.7×	129 1.0×	121 1.5×	69 1.0×	21 0.4×	55	572
Jang-Hee Hahn South Korea	11	274 0.7×	73 0.6×	83 1.0×	59 0.8×	114 2.0×	20	564
Xi Yu China	15	410 1.0×	227 1.7×	162 2.0×	101 1.4×	44 0.8×	43	747
Zhenhua Lin China	17	451 1.1×	189 1.4×	217 2.7×	108 1.5×	71 1.2×	55	814
Isabelle Moranvillier France	12	337 0.8×	136 1.0×	117 1.4×	54 0.8×	23 0.4×	18	495
Naoshad Mohammad India	10	412 1.0×	305 2.3×	137 1.7×	47 0.7×	48 0.8×	11	668
Dongbo Qiu China	13	399 1.0×	136 1.0×	77 1.0×	35 0.5×	53 0.9×	26	698
Hyun Gyu Lee South Korea	16	326 0.8×	108 0.8×	136 1.7×	40 0.6×	67 1.2×	23	599
Yufan Zheng China	13	312 0.8×	133 1.0×	77 1.0×	101 1.4×	39 0.7×	24	518

Countries citing papers authored by Kun Yan

Since Specialization

Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yan

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

All Works

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20 of 20 papers shown

Chen, Haifeng, et al.. (2024). Yigu decoction regulates plasma miRNA in postmenopausal osteoporosis patients: a randomized controlled trial. Frontiers in Pharmacology. 15. 1460906–1460906.

Yan, Kun, Yaqiang Hong, Yi Wang, et al.. (2023). Fimepinostat Impairs NFκB and PI3K/AKT Signaling and Enhances Gemcitabine Efficacy in H3.3K27M-Diffuse Intrinsic Pontine Glioma. Cancer Research. 84(4). 598–615. 12 indexed citations

Zhou, Wei, Kun Yan, & Qiaoran Xi. (2023). BMP signaling in cancer stemness and differentiation. Cell Regeneration. 12(1). 37–37. 13 indexed citations

Yan, Kun, et al.. (2023). Anti-osteoporotic drugs affect the pathogenesis of gut microbiota and its metabolites: a clinical study. Frontiers in Cellular and Infection Microbiology. 13. 1091083–1091083. 10 indexed citations

Yan, Kun, et al.. (2022). Recruitment of TRIM33 to cell‐context specific PML nuclear bodies regulates nodal signaling in mESCs. The EMBO Journal. 42(3). e112058–e112058. 10 indexed citations

Jiang, Junyi, Kun Yan, Robert Liefke, et al.. (2022). A TRIM66/DAX1/Dux axis suppresses the totipotent 2-cell-like state in murine embryonic stem cells. Cell stem cell. 29(6). 948–961.e6. 16 indexed citations

Wang, Wenya, et al.. (2022). Construction and Application of Orthogonal T7 Expression System in Eukaryote: An Overview. Advanced Biology. 7(2). e2200218–e2200218. 5 indexed citations

Yan, Kun, et al.. (2022). Amentoflavone Ameliorates Carrageenan-Induced Pleurisy and Lung Injury by Inhibiting the NF-κB/STAT3 Pathways via Nrf2 Activation. Frontiers in Pharmacology. 13. 763608–763608. 14 indexed citations

Sun, Ye, Kun Yan, Yi Wang, et al.. (2022). Context-dependent tumor-suppressive BMP signaling in diffuse intrinsic pontine glioma regulates stemness through epigenetic regulation of CXXC5. Nature Cancer. 3(9). 1105–1122. 20 indexed citations

10.

Wang, Tingyu, Xiaohui Kong, Kun Yan, et al.. (2022). A Nodal enhanced micropeptide NEMEP regulates glucose uptake during mesendoderm differentiation of embryonic stem cells. Nature Communications. 13(1). 3984–3984. 16 indexed citations

11.

Yan, Kun, et al.. (2022). PM2.5 inhibits system Xc- activity to induce ferroptosis by activating the AMPK-Beclin1 pathway in acute lung injury. Ecotoxicology and Environmental Safety. 245. 114083–114083. 25 indexed citations

12.

Yan, Kun, et al.. (2021). Quantitative proteomics reveals the effect of Yigu decoction (YGD) on protein expression in bone tissue. Clinical Proteomics. 18(1). 24–24. 7 indexed citations

13.

Sun, Yu, Ye Sun, Kun Yan, et al.. (2019). Potent anti-tumor efficacy of palbociclib in treatment-naïve H3.3K27M-mutant diffuse intrinsic pontine glioma. EBioMedicine. 43. 171–179. 27 indexed citations

14.

Yan, Kun, Yasir Arfat, Dijie Li, et al.. (2016). Structure Prediction: New Insights into Decrypting Long Noncoding RNAs. International Journal of Molecular Sciences. 17(1). 132–132. 46 indexed citations

15.

Hu, Lifang, Peihong Su, Runzhi Li, et al.. (2015). Knockdown of microtubule actin crosslinking factor 1 inhibits cell proliferation in MC3T3-E1 osteoblastic cells. BMB Reports. 48(10). 583–588. 36 indexed citations

16.

Hui, Xiaoli, Yu Han, Shuhui Liang, et al.. (2008). Specific targeting of the vasculature of gastric cancer by a new tumor-homing peptide CGNSNPKSC. Journal of Controlled Release. 131(2). 86–93. 57 indexed citations

17.

He, Lijie, Hanmin Wang, Haifeng Jin, et al.. (2008). CIAPIN1 inhibits the growth and proliferation of clear cell renal cell carcinoma. Cancer Letters. 276(1). 88–94. 36 indexed citations

18.

Siu, Fung‐Ming, Dik‐Lung Ma, Yee‐Wai Cheung, et al.. (2008). Proteomic and transcriptomic study on the action of a cytotoxic saponin (Polyphyllin D): Induction of endoplasmic reticulum stress and mitochondria‐mediated apoptotic pathways. PROTEOMICS. 8(15). 3105–3117. 91 indexed citations

19.

Chien, Lee‐Feng, et al.. (2005). Purification and subunit determination of H+-pyrophosphatase from endoplasmic reticulum-enriched vesicles of mung bean seedlings. Plant Science. 169(5). 847–853. 1 indexed citations

20.

Chien, Lee‐Feng, Yi Hsiao, Kun Yan, et al.. (2004). Proton pumping inorganic pyrophosphatase of endoplasmic reticulum-enriched vesicles from etiolated mung bean seedlings. Journal of Plant Physiology. 162(2). 129–138. 4 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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