Yanjia Hu

552 total citations
36 papers, 409 citations indexed

About

Yanjia Hu is a scholar working on Oncology, Molecular Biology and Periodontics. According to data from OpenAlex, Yanjia Hu has authored 36 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Periodontics. Recurrent topics in Yanjia Hu's work include Oral Health Pathology and Treatment (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Cancer-related molecular mechanisms research (4 papers). Yanjia Hu is often cited by papers focused on Oral Health Pathology and Treatment (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Cancer-related molecular mechanisms research (4 papers). Yanjia Hu collaborates with scholars based in China, United States and United Kingdom. Yanjia Hu's co-authors include Xinchun Jian, Zhigang Yao, Ning Li, Zhangui Tang, Feng Guo, Xiaodan Fang, Kun Li, Liangjuan Fang, Hongzhi Quan and G. Khitrova and has published in prestigious journals such as Applied Physics Letters, Biochemical and Biophysical Research Communications and Optics Letters.

In The Last Decade

Yanjia Hu

36 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjia Hu China 12 121 94 91 77 71 36 409
Paula Demétrio De Souza França United States 11 14 0.1× 123 1.3× 151 1.7× 62 0.8× 11 0.2× 23 368
Isao Kamiyama Japan 7 113 0.9× 52 0.6× 137 1.5× 98 1.3× 30 0.4× 20 397
Pierre Mahy Belgium 13 22 0.2× 66 0.7× 40 0.4× 94 1.2× 85 1.2× 28 469
Binwei Lin China 11 8 0.1× 117 1.2× 97 1.1× 200 2.6× 31 0.4× 29 440
Kazuhide Hayama Japan 11 10 0.1× 28 0.3× 93 1.0× 78 1.0× 21 0.3× 22 369
Gi Cheol Park South Korea 14 9 0.1× 73 0.8× 88 1.0× 39 0.5× 56 0.8× 31 429
Zi‐Zhan Li China 13 11 0.1× 116 1.2× 104 1.1× 68 0.9× 13 0.2× 41 403
Óscar Rapado‐González Spain 15 53 0.4× 353 3.8× 75 0.8× 81 1.1× 47 0.7× 26 609
Yurong Liu China 11 9 0.1× 87 0.9× 33 0.4× 14 0.2× 6 0.1× 25 324
Ivo ten Hove Netherlands 13 71 0.6× 97 1.0× 100 1.1× 103 1.3× 81 1.1× 19 639

Countries citing papers authored by Yanjia Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjia Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjia Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjia Hu. A scholar is included among the top collaborators of Yanjia Hu 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 Yanjia Hu. Yanjia Hu 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.
Hu, Yanjia, Guoliang You, Yunhui Zeng, et al.. (2024). IKIP downregulates THBS1/FAK signaling to suppress migration and invasion by glioblastoma cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 32(7). 1173–1184. 1 indexed citations
2.
Wang, Xiang, et al.. (2022). The role of long noncoding RNAs as regulators of the epithelial–Mesenchymal transition process in oral squamous cell carcinoma cells. Frontiers in Molecular Biosciences. 9. 942636–942636. 7 indexed citations
3.
Chen, Wei, et al.. (2021). Gamma Knife radiosurgery as the initial treatment for elderly patients with nonfunctioning pituitary adenomas. Journal of Neuro-Oncology. 152(2). 257–264. 3 indexed citations
4.
Hu, Yanjia, et al.. (2021). Gamma Knife Radiosurgery for Cavernous Malformations of Basal Ganglia and Thalamus: A Retrospective Study of 53 Patients. Stereotactic and Functional Neurosurgery. 99(4). 273–280. 3 indexed citations
5.
Quan, Hongzhi, Zhongyan Shan, Ziyi Liu, et al.. (2020). The repertoire of tumor-infiltrating lymphocytes within the microenvironment of oral squamous cell carcinoma reveals immune dysfunction. Cancer Immunology Immunotherapy. 69(3). 465–476. 41 indexed citations
6.
Quan, Hongzhi, Sixuan Liu, Zhongyan Shan, et al.. (2020). Differential expression of programmed death-1 and its ligand, programmed death ligand-1 in oral squamous cell carcinoma with and without oral submucous fibrosis. Archives of Oral Biology. 119. 104916–104916. 13 indexed citations
7.
Jian, Xinchun, Xiaoshan Wu, Feng Guo, et al.. (2020). Oral submucous fibrosis transforming into squamous cell carcinoma: a prospective study over 31 years in mainland China. Clinical Oral Investigations. 25(4). 2249–2256. 13 indexed citations
9.
Li, Hedong, Dongming Yan, Genda Chen, et al.. (2016). Porosity, pore size distribution and chloride permeability of shotcrete modified with nano particles at early age. Journal of Wuhan University of Technology-Mater Sci Ed. 31(3). 582–589. 9 indexed citations
10.
Hu, Yanjia, et al.. (2012). Condyle and mandibular bone change after unilateral condylar neck fracture in growing rats. International Journal of Oral and Maxillofacial Surgery. 41(8). 912–921. 10 indexed citations
11.
Li, Ning, Qiong Hu, Canhua Jiang, et al.. (2012). Cys–X–Cys ligand 9 might be an immunological factor in the pathogenesis of oral submucous fibrosis and its concomitant oral lichenoid lesion. Clinical Oral Investigations. 17(4). 1251–1258. 6 indexed citations
12.
Li, Ning, Qiong Hu, Canhua Jiang, et al.. (2011). Novel genetic biomarkers for susceptibility to oral submucous fibrosis: Cytochrome P450 3A. Medical Hypotheses. 77(5). 834–836. 12 indexed citations
13.
Guo, Feng, Xinchun Jian, Shanghui Zhou, et al.. (2011). [A retrospective study of oral squamous cell carcinomas originated from oral submucous fibrosis].. PubMed. 46(8). 494–7. 21 indexed citations
14.
Li, Ning, et al.. (2008). Discovery of Novel Biomarkers in Oral Submucous Fibrosis by Microarray Analysis. Cancer Epidemiology Biomarkers & Prevention. 17(9). 2249–2259. 33 indexed citations
15.
Hu, Yanjia & Xinchun Jian. (2007). The role of epithelial–mesenchymal transition in oral squamous cell carcinoma and oral submucous fibrosis. Clinica Chimica Acta. 383(1-2). 51–56. 49 indexed citations
16.
Gu, Zhitao, et al.. (2005). Type II collagen and aggrecan mRNA expressions in rabbit condyle following disc displacement. Journal of Oral Rehabilitation. 32(4). 254–259. 6 indexed citations
17.
Shen, Lu, et al.. (1997). [Microwave heating and neoadjuvant chemotherapy for malignant bone tumor].. PubMed. 35(4). 196–9. 3 indexed citations
18.
Hu, Yanjia, et al.. (1996). [Expression of P16 protein in pancreatic carcinoma].. PubMed. 27(3). 258–60. 1 indexed citations
19.
Luo, Sulan, et al.. (1995). [153Sm-EDTMP for moderate and severe bone cancer pain].. PubMed. 26(4). 391–4. 4 indexed citations
20.
Hu, Yanjia, et al.. (1993). Instabilities of a microcavity laser with a weak injected signal. Optics Letters. 18(21). 1846–1846. 9 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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