Zhijun Yang
- Molecular Biology
- Cancer Research top 10%
- Genetics top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Topics
- MicroRNA in disease regulation (6 papers)Cancer-related molecular mechanisms research (6 papers)Protease and Inhibitor Mechanisms (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnalytical ChemistryScientific Reports
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhijun Yang
63 papers receiving 911 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 387
- Cancer Research 257
- Genetics 159
- Pathology and Forensic Medicine 130
- Oncology 113
Countries citing papers authored by Zhijun Yang
This map shows the geographic impact of Zhijun Yang'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 Zhijun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijun Yang more than expected).
Fields of papers citing papers by Zhijun Yang
This network shows the impact of papers produced by Zhijun Yang. 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 Zhijun Yang. The network helps show where Zhijun Yang may publish in the future.
Co-authorship network of co-authors of Zhijun Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Yang. A scholar is included among the top collaborators of Zhijun Yang 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 Zhijun Yang. Zhijun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | LncRNA HOTAIRM1/HOXA1 Axis Promotes Cell Proliferation, Migration And Invasion In Endometrial Cancer | 1 |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 36 | |
| 11 | 34 | |
| 12 | [Analysis about the high risk factors and prognosis of gynecologic cancer with deep venous thrombosis]. | 2 |
| 13 | 15 | |
| 14 | 52 | |
| 15 | 1 | |
| 16 | The effect of TIZ gene overexpression on biological characteristics of epithelial ovarian cancer cells | 2 |
| 17 | Clinical value of combined detection of serum matrix metalloproteinase-9, heparanase, and cathepsin for determining ovarian cancer invasion and metastasis. | 33 |
| 18 | 7 | |
| 19 | 0 | |
| 20 | 10 |
About Zhijun Yang
Zhijun Yang is a scholar working on Cancer Research, Developmental Neuroscience and Immunology, having authored 66 papers that have together received 921 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Cancer Research (257 citations), Genetics (159 citations) and Developmental Neuroscience (56 citations). Zhijun Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ruxiang Xu, Yiwu Dai, Xuebin Liu, Zan Zhang, Guanghui Dai, Jianli Liu, Xiangyu Cao, Hongtian Zhang, Shuai Wang and Yin He. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Scientific Reports.
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.