Wei‐Jia Mo

488 total citations
30 papers, 352 citations indexed

About

Wei‐Jia Mo is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei‐Jia Mo has authored 30 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei‐Jia Mo's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (6 papers). Wei‐Jia Mo is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (6 papers). Wei‐Jia Mo collaborates with scholars based in China. Wei‐Jia Mo's co-authors include Gang Chen, Zhen‐Bo Feng, Dianzhong Luo, Huiping Lu, Lanshan Huang, Rong‐Quan He, Hong Yang, Jia Li, Yiwu Dang and Ziling Huang and has published in prestigious journals such as BMC Musculoskeletal Disorders, International Journal of Oncology and Oncology Reports.

In The Last Decade

Wei‐Jia Mo

27 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Jia Mo China 12 272 208 76 47 28 30 352
Jingsheng Yuan China 11 256 0.9× 203 1.0× 100 1.3× 57 1.2× 21 0.8× 26 365
Xianguo Zhou China 10 241 0.9× 159 0.8× 93 1.2× 49 1.0× 27 1.0× 22 345
Fuchao Ma China 13 319 1.2× 223 1.1× 50 0.7× 60 1.3× 32 1.1× 25 407
Chunjuan Zhao China 9 257 0.9× 194 0.9× 44 0.6× 46 1.0× 22 0.8× 12 360
Yirui Yin China 11 206 0.8× 136 0.7× 84 1.1× 78 1.7× 25 0.9× 23 343
Gallina Kazobinka China 11 311 1.1× 148 0.7× 77 1.0× 87 1.9× 47 1.7× 20 405
Guozhi Yin China 13 275 1.0× 236 1.1× 39 0.5× 58 1.2× 41 1.5× 19 371
Hai‐Liang Zhang China 10 319 1.2× 315 1.5× 132 1.7× 53 1.1× 33 1.2× 15 441
Yaqiang Huang China 11 257 0.9× 142 0.7× 89 1.2× 48 1.0× 19 0.7× 19 362

Countries citing papers authored by Wei‐Jia Mo

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Jia Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Jia Mo. 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 Wei‐Jia Mo. The network helps show where Wei‐Jia Mo may publish in the future.

Co-authorship network of co-authors of Wei‐Jia Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Jia Mo. A scholar is included among the top collaborators of Wei‐Jia Mo 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 Wei‐Jia Mo. Wei‐Jia Mo 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.
Lin, Peng, Yulan Lin, Qiong Qin, et al.. (2025). Tumour surface regularity predicts survival and benefit from gross total resection in IDH-wildtype glioblastoma patients. Insights into Imaging. 16(1). 42–42. 2 indexed citations
3.
Li, Jian‐Di, Dandan Xiong, Rong‐Quan He, et al.. (2025). Role of cell cycle-related gene SAC3 domain containing 1 as a potential target of nitidine chloride in hepatocellular carcinoma progression. World Journal of Clinical Oncology. 16(5). 104154–104154.
4.
Huang, Shuping, Yifan Jiang, Linjie Yang, et al.. (2020). Downregulation of miR-125b-5p and Its Prospective Molecular Mechanism in Lung Squamous Cell Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 37(2). 125–140. 6 indexed citations
5.
Pan, Jie, Yun Liu, Wenyu Feng, et al.. (2020). Bilateral synovial chondromatosis of the elbow in an adolescent: a case report and literature review. BMC Musculoskeletal Disorders. 21(1). 377–377. 5 indexed citations
6.
Chen, Shangwei, Huiping Lu, Gang Chen, et al.. (2020). Downregulation of miRNA‐126‐3p is associated with progression of and poor prognosis for lung squamous cell carcinoma. FEBS Open Bio. 10(8). 1624–1641. 11 indexed citations
7.
Pang, Yu‐Yan, Jian‐Di Li, Li Gao, et al.. (2020). The clinical value and potential molecular mechanism of the downregulation of MAOA in hepatocellular carcinoma tissues. Cancer Medicine. 9(21). 8004–8019. 20 indexed citations
8.
Lu, Huiping, Xiu‐Fang Du, Jian‐Di Li, et al.. (2020). Expression of Cell Division Cycle Protein 45 in Tissue Microarrays and the CDC45 Gene by Bioinformatics Analysis in Human Hepatocellular Carcinoma and Patient Outcomes. Medical Science Monitor. 27. e928800–e928800. 11 indexed citations
9.
Guo, Yinan, Lu Liang, Shuang Ren, et al.. (2019). CD117 expression is correlated with poor survival of patients and progression of lung carcinoma:a meta-analysis with a panel of 2645 patients. Polish Journal of Pathology. 70(2). 63–78. 4 indexed citations
10.
Zhang, Tong-Tong, Yuan Qin, Ting‐Qing Gan, et al.. (2018). Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis. World Journal of Surgical Oncology. 16(1). 109–109. 18 indexed citations
11.
Tang, Ruixue, et al.. (2018). Clinical implication of UCA1 in non-small cell lung cancer and its effect on caspase-3/7 activation and apoptosis induction in vitro.. PubMed. 11(5). 2295–2304. 3 indexed citations
12.
Mo, Wei‐Jia, Ye‐Ying Fang, Yi‐Wu Dang, et al.. (2018). Up-regulation of Polo-like Kinase 1 in nasopharyngeal carcinoma tissues: a comprehensive investigation based on RNA-sequencing, gene chips, and in-house tissue arrays.. PubMed. 10(12). 3924–3940. 10 indexed citations
13.
Qin, Xin‐Gan, Jiang‐Hui Zeng, Peng Lin, et al.. (2018). Prognostic value of small nuclear RNAs (snRNAs) for digestive tract pan- adenocarcinomas identified by RNA sequencing data. Pathology - Research and Practice. 215(3). 414–426. 15 indexed citations
14.
Lin, Peng, Xiao‐Jiao Li, Rong‐Quan He, et al.. (2018). Development of a Prognostic Index Based on an Immunogenomic Landscape Analysis of Papillary Thyroid Cancer. SSRN Electronic Journal. 8 indexed citations
15.
Li, Wenchao, et al.. (2018). Low expression of Cyfip1 may be a potential biomarker in nasopharyngeal carcinoma. Neoplasma. 65(2). 292–295. 5 indexed citations
16.
Zhang, Yu, Wei‐Jia Mo, Xiao Wang, et al.. (2018). Microarray‑based bioinformatics analysis of the prospective target gene network of key miRNAs influenced by long non‑coding RNA PVT1 in HCC. Oncology Reports. 40(1). 226–240. 10 indexed citations
17.
Luo, Yihuan, Wei‐Jia Mo, Xin Zhang, et al.. (2017). High expression of long non‑coding HOTAIR correlated with hepatocarcinogenesis and metastasis. Molecular Medicine Reports. 17(1). 1148–1156. 28 indexed citations
18.
Liang, Hai‐Wei, Zhihua Ye, Shuya Yin, et al.. (2017). A comprehensive insight into the clinicopathologic significance of miR-144-3p in hepatocellular carcinoma. OncoTargets and Therapy. Volume 10. 3405–3419. 24 indexed citations
19.
Huang, Ziling, Lanshan Huang, Jia Li, et al.. (2015). Sp1 cooperates with Sp3 to upregulate MALAT1 expression in human hepatocellular carcinoma. Oncology Reports. 34(5). 2403–2412. 53 indexed citations
20.
Lu, Huiping, Jia Li, Wei‐Jia Mo, & Zhen‐Bo Feng. (2012). RNAi-mediated down-regulation of Sp3 gene expression inhibits proliferation of HepG2 cells. World Chinese Journal of Digestology. 20(27). 2595–2595.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026