Kun He

1.9k total citations
36 papers, 795 citations indexed

About

Kun He is a scholar working on Molecular Biology, Immunology and Spectroscopy. According to data from OpenAlex, Kun He has authored 36 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Spectroscopy. Recurrent topics in Kun He's work include Ubiquitin and proteasome pathways (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Microtubule and mitosis dynamics (3 papers). Kun He is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Microtubule and mitosis dynamics (3 papers). Kun He collaborates with scholars based in China, United States and Philippines. Kun He's co-authors include Xuemin Zhang, Tao Zhou, Huiyan Li, Hongxia Wang, Xin Pan, Ming Yu, Jiang-Hong Man, Xue-Min Zhang, Ai-Ling Li and Bing Shen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kun He

33 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun He China	17	514	130	101	94	94	36	795
Mirta Mittelstedt Leal de Sousa Norway	20	977 1.9×	85 0.7×	161 1.6×	104 1.1×	79 0.8×	37	1.2k
Danny A. Bitton United Kingdom	19	967 1.9×	68 0.5×	97 1.0×	44 0.5×	88 0.9×	29	1.2k
Alfred Weber Austria	15	396 0.8×	102 0.8×	94 0.9×	93 1.0×	55 0.6×	42	768
Marlène Marcellin France	15	591 1.1×	154 1.2×	56 0.6×	79 0.8×	62 0.7×	25	1.0k
Ganachari M. Nagaraja United States	14	418 0.8×	89 0.7×	109 1.1×	121 1.3×	82 0.9×	16	796
Matthew J. McKay Australia	23	606 1.2×	80 0.6×	83 0.8×	53 0.6×	197 2.1×	55	1.2k
Rupert L. Mayer Austria	17	393 0.8×	72 0.6×	52 0.5×	27 0.3×	61 0.6×	29	684
Nathalie Legrave United Kingdom	16	351 0.7×	118 0.9×	210 2.1×	37 0.4×	72 0.8×	24	821
Maurice Wong United States	18	480 0.9×	69 0.5×	50 0.5×	29 0.3×	78 0.8×	36	658

Countries citing papers authored by Kun He

Since Specialization

Citations

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

Fields of papers citing papers by Kun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun He

This figure shows the co-authorship network connecting the top 25 collaborators of Kun He. A scholar is included among the top collaborators of Kun He 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 He. Kun He 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

He, Kun, et al.. (2025). Design of negative Poisson’s ratio metamaterial filling structure for train energy absorber under complex boundary conditions. International Journal of Solids and Structures. 322. 113618–113618.

Zhang, Hao, Wanyi Li, Meng Zhang, et al.. (2025). Continuous and online detection of melamine, 6-thioguanine, and histamine using silver colloid-based SERS. Talanta. 298(Pt A). 128832–128832.

Peng, Jing, Ying‐Jie Zhu, Xin Jiang, et al.. (2025). Quantitative Analysis of Pyrrolizidine Alkaloids in Food Matrices and Plant-Derived Samples Using UHPLC—MS/MS. Foods. 14(7). 1147–1147. 3 indexed citations

Wang, Shufeng, Xinzheng Wang, Xin Yang, et al.. (2021). Comprehensive kinomic study via a chemical proteomic approach reveals kinome reprogramming in hepatocellular carcinoma tissues. PROTEOMICS. 22(4). e2100141–e2100141. 2 indexed citations

Zhang, Jian, Wen Li, Qian Zhou, Kun He, & Lisong Teng. (2020). Preventative and Therapeutic Effects of Metformin in Gastric Cancer: A New Contribution of an Old Friend. SHILAP Revista de lepidopterología. 1 indexed citations

Liu, Feng, Yanyan Meng, Kun He, et al.. (2019). Comparative analysis of proteomic and metabolomic profiles of different species of Paris. Journal of Proteomics. 200. 11–27. 22 indexed citations

Gao, Yanyan, Xinzheng Wang, Zongcheng Li, et al.. (2017). Quantitative proteomics by SWATH-MS reveals sophisticated metabolic reprogramming in hepatocellular carcinoma tissues. Scientific Reports. 7(1). 45913–45913. 61 indexed citations

Li, Teng, Liang Chen, Jiang Dai, et al.. (2016). SUMOylated NKAP is essential for chromosome alignment by anchoring CENP-E to kinetochores. Nature Communications. 7(1). 12969–12969. 33 indexed citations

Ma, Yanan, Chao Han, Jinyin Chen, et al.. (2014). Fungal cellulase is an elicitor but its enzymatic activity is not required for its elicitor activity. Molecular Plant Pathology. 16(1). 14–26. 49 indexed citations

10.

Fang, Difeng, Kun He, Na Wang, et al.. (2014). NEDD4 ubiquitinates TRAF3 to promote CD40-mediated AKT activation. Nature Communications. 5(1). 4513–4513. 43 indexed citations

11.

Fang, Difeng, Kun He, Jie Wang, et al.. (2013). RAD23A negatively regulates RIG-I/MDA5 signaling through promoting TRAF2 polyubiquitination and degradation. Biochemical and Biophysical Research Communications. 431(4). 686–692. 5 indexed citations

12.

Luo, Xue, Liang Chen, Jiang Dai, et al.. (2012). Gankyrin gene deletion followed by proteomic analysis: insight into the roles of Gankyrin in Tumorigenesis and Metastasis. BMC Medical Genomics. 5(1). 36–36. 7 indexed citations

13.

Zhou, Na, et al.. (2011). Whole-cell matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for rapid identification of bacteria cultured in liquid media. Science China Life Sciences. 54(1). 48–53. 5 indexed citations

14.

Zhang, Hai‐Ying, Bin Liang, Tao Zhou, et al.. (2010). Tumor-targeted delivery of biologically active TRAIL protein. Cancer Gene Therapy. 17(5). 334–343. 38 indexed citations

15.

Fang, Jiaojiao, Na Wang, Kun He, et al.. (2009). Rapid Detection of Conotoxin SO3 in Serum Using Cu-Chelated Magnetic Beads Coupled with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry. Journal of Analytical Toxicology. 33(5). 272–277. 1 indexed citations

16.

Zhang, Peijing, Jie Zhao, Huiyan Li, et al.. (2007). CUE domain containing 2 regulates degradation of progesterone receptor by ubiquitin–proteasome. The EMBO Journal. 26(7). 1831–1842. 60 indexed citations

17.

Man, Jiang-Hong, Huiyan Li, Peijing Zhang, et al.. (2006). PIAS3 induction of PRB sumoylation represses PRB transactivation by destabilizing its retention in the nucleus. Nucleic Acids Research. 34(19). 5552–5566. 28 indexed citations

18.

Cui, Jiuwei, Weihua Li, Jie Wang, et al.. (2005). Proteomics-based Identification of Human Acute Leukemia Antigens That Induce Humoral Immune Response. Molecular & Cellular Proteomics. 4(11). 1718–1724. 48 indexed citations

19.

Li, Ai-Ling, Huiyan Li, Tao Zhou, et al.. (2004). A Novel eIF5A Complex Functions As a Regulator of p53 and p53-dependent Apoptosis. Journal of Biological Chemistry. 279(47). 49251–49258. 111 indexed citations

20.

Jin, Baofeng, Kun He, Hongxia Wang, et al.. (2003). Proteomic analysis of ubiquitin-proteasome effects: insight into the function of eukaryotic initiation factor 5A. Oncogene. 22(31). 4819–4830. 59 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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