Guangjun Zhang
- Molecular Biology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Nature and Landscape Conservation top 5%
- Oncology
- Co-authors
- Martin J. CohnRenata FreitasTong ZhouHongpeng TianShusen XiaZuo-Liang LiuHan‐Ru ChoZuoliang Liu
- Topics
- Cancer-related molecular mechanisms research (16 papers)MicroRNA in disease regulation (14 papers)Circular RNAs in diseases (10 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guangjun Zhang
96 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.3k
- Cancer Research 586
- Genetics 198
- Nature and Landscape Conservation 193
- Oncology 191
Countries citing papers authored by Guangjun Zhang
This map shows the geographic impact of Guangjun Zhang'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 Guangjun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangjun Zhang more than expected).
Fields of papers citing papers by Guangjun Zhang
This network shows the impact of papers produced by Guangjun Zhang. 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 Guangjun Zhang. The network helps show where Guangjun Zhang may publish in the future.
Co-authorship network of co-authors of Guangjun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangjun Zhang. A scholar is included among the top collaborators of Guangjun Zhang 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 Guangjun Zhang. Guangjun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | High Expression of CD44 Predicts a Poor Prognosis in Glioblastomas | 2 |
| 6 | 14 | |
| 7 | 17 | |
| 8 | Construction and Comprehensive Analysis of a ceRNA Network to Reveal Potential Novel Biomarkers for Triple-Negative Breast Cancer | 3 |
| 9 | Further Study of Circulating Antibodies to P16, CD25 and FOXP3 in Hepatocellular Carcinoma | 0 |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 49 | |
| 16 | 81 | |
| 17 | 18 | |
| 18 | 77 | |
| 19 | 3 | |
| 20 | 168 |
About Guangjun Zhang
Guangjun Zhang is a scholar working on Cancer Research, Microbiology and Molecular Biology, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (14 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (586 citations), Molecular Biology (1.3k citations) and Nature and Landscape Conservation (193 citations). Guangjun Zhang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Martin J. Cohn, Renata Freitas, Tong Zhou, Hongpeng Tian, Shusen Xia, Zuo-Liang Liu, Han‐Ru Cho, Zuoliang Liu, He Zhou and Michael M. Miyamoto. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.