Huijun Wang

7.2k total citations · 2 hit papers
201 papers, 4.2k citations indexed

About

Huijun Wang is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Huijun Wang has authored 201 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 27 papers in Cell Biology and 22 papers in Surgery. Recurrent topics in Huijun Wang's work include Skin and Cellular Biology Research (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Autophagy in Disease and Therapy (10 papers). Huijun Wang is often cited by papers focused on Skin and Cellular Biology Research (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Autophagy in Disease and Therapy (10 papers). Huijun Wang collaborates with scholars based in China, United States and Canada. Huijun Wang's co-authors include Hui-xia Han, Hong Shen, Junjie Cai, Xin Li, Zhuguo Li, Jian Geng, Yanqing Ding, Wei Kang, Chi‐Ming Che and Qingling Zhang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Huijun Wang

183 papers receiving 4.2k citations

Hit Papers

Organ distribution of sev... 2003 2026 2010 2018 2004 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huijun Wang China 30 1.1k 1.1k 716 395 351 201 4.2k
Yu Sun China 36 1.6k 1.4× 1.7k 1.5× 607 0.8× 794 2.0× 238 0.7× 294 6.3k
Mohammad Ali Sahraian Iran 42 1.1k 1.0× 480 0.4× 1.5k 2.1× 449 1.1× 810 2.3× 447 7.5k
Renaud Du Pasquier Switzerland 44 1.2k 1.1× 944 0.8× 1.2k 1.7× 899 2.3× 1.6k 4.6× 201 7.3k
Xiao Xiao China 36 1.2k 1.1× 447 0.4× 164 0.2× 355 0.9× 308 0.9× 216 5.2k
Jing Zhang China 42 2.0k 1.8× 470 0.4× 340 0.5× 367 0.9× 565 1.6× 267 5.7k
Nikolaos Grigoriadis Greece 43 1.9k 1.7× 246 0.2× 1.1k 1.6× 412 1.0× 665 1.9× 221 7.0k
Yasuhíro Suzuki Japan 38 1.1k 1.0× 223 0.2× 526 0.7× 457 1.2× 257 0.7× 243 4.6k
Carmela Conte Italy 31 665 0.6× 288 0.3× 444 0.6× 306 0.8× 287 0.8× 114 2.9k
Li Chen China 45 2.4k 2.1× 485 0.4× 348 0.5× 1.5k 3.9× 447 1.3× 374 7.7k
Wang‐Tso Lee Taiwan 34 977 0.9× 213 0.2× 338 0.5× 266 0.7× 136 0.4× 199 3.9k

Countries citing papers authored by Huijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huijun Wang. A scholar is included among the top collaborators of Huijun Wang 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 Huijun Wang. Huijun Wang 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.
Chen, Chuanxiang, et al.. (2025). Decreasing β-Catenin Leads to Altered Endothelial Morphology, Increased Barrier Permeability and Cognitive Impairment During Chronic Methamphetamine Exposure. International Journal of Molecular Sciences. 26(4). 1514–1514. 1 indexed citations
3.
Lu, Yaosheng, et al.. (2024). ETCNN: An ensemble transformer-convolutional neural network for automatic analysis of fetal heart rate. Biomedical Signal Processing and Control. 96. 106629–106629. 3 indexed citations
4.
Liu, Huan, et al.. (2024). Carbon price prediction based on advanced decomposition and long short-term memory hybrid model. Journal of Cleaner Production. 451. 142101–142101. 9 indexed citations
5.
Li, Bo, et al.. (2024). NAT10 Overexpression Promotes Tumorigenesis and Epithelial–Mesenchymal Transition Through AKT Pathway in Gastric Cancer. Digestive Diseases and Sciences. 69(9). 3261–3275. 1 indexed citations
6.
Chen, Gaowen, et al.. (2024). PSFHS: Intrapartum ultrasound image dataset for AI-based segmentation of pubic symphysis and fetal head. Scientific Data. 11(1). 436–436. 7 indexed citations
7.
Bai, Jieyun, Zhide Chen, Yaosheng Lu, et al.. (2024). RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images. Computers in Biology and Medicine. 175. 108501–108501. 11 indexed citations
8.
Yang, Chao, Zhaoyang Wang, Zigang Xu, et al.. (2024). Loss-of-function variants in GLMN are associated with generalized skin hyperpigmentation with or without glomuvenous malformation. British Journal of Dermatology. 191(1). 107–116. 2 indexed citations
9.
Zhang, Bin, Zigang Xu, Wei Li, et al.. (2023). Somatic mutation spectrum of a Chinese cohort of pediatrics with vascular malformations. Orphanet Journal of Rare Diseases. 18(1). 261–261. 3 indexed citations
10.
Wang, Chuan, et al.. (2023). The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data. Medical & Biological Engineering & Computing. 61(5). 1017–1031. 9 indexed citations
11.
Liu, Guangyao, et al.. (2022). Downregulation of CYRI-B promotes migration, invasion and EMT by activating the Rac1-STAT3 pathway in gastric cancer. Experimental Cell Research. 423(1). 113453–113453. 6 indexed citations
12.
Lu, Yaosheng, Huijun Wang, Di Qiu, et al.. (2022). The JNU-IFM dataset for segmenting pubic symphysis-fetal head. Data in Brief. 41. 107904–107904. 19 indexed citations
13.
Lee, Ming-Yang, et al.. (2022). Variants in KLK11, affecting signal peptide cleavage of kallikrein-related peptidase 11, cause an autosomal-dominant cornification disorder. British Journal of Dermatology. 188(1). 100–111. 6 indexed citations
14.
Wang, Huijun, et al.. (2016). Comparison of System Characteristics between Current and InductionArmature in Electromagnetic Coil Launcher. 30(6). 525. 1 indexed citations
15.
Duo, Lina, Huijun Wang, & Zhimiao Lin. (2016). Mutation analysis of the SERPINB7 gene in two patients with Nagashima-type palmoplantar keratoderma. Chinese Journal of Dermatology. 49(3). 180–182. 1 indexed citations
16.
Wang, Huijun. (2015). Study on the methods to forecast passenger flow of intercity rail transit for urban agglomeration. Journal of Railway Science and Engineering. 1 indexed citations
17.
Wang, Huijun, C. Wang, M-H Zhao, & M. Chen. (2015). Neutrophil extracellular traps can activate alternative complement pathways. Clinical & Experimental Immunology. 181(3). 518–527. 150 indexed citations
18.
Lin, Jie, Chongbo Zhao, Jiahong Lu, et al.. (2013). Novel mutations m.3959G>A and m.3995A>G in mitochondrial geneMT-ND1associated with MELAS. Mitochondrial DNA. 25(1). 56–62. 16 indexed citations
19.
Wang, Huijun, Megumu Ogawa, Jennifer R. Wood, et al.. (2008). Genetic and epigenetic mechanisms combine to control MMP1 expression and its association with preterm premature rupture of membranes. Human Molecular Genetics. 17(8). 1087–1096. 58 indexed citations
20.
Wang, Huijun, Hua Hu, & Qing Li. (2005). A dynamic knowledge base based search engine. Journal of Zhejiang University Science. 6(7). 683–688.

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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