Tiejun Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
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- Circular RNAs in diseases 5
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Co-authors
- Daozhen Chen (3 shared papers)Yan Zhang (6 shared papers)Ting Zhang (2 shared papers)Jing Cheng (2 shared papers)Ping Zou (4 shared papers)Jie Mei (3 shared papers)Liang Luo (7 shared papers)Jianwei Zhou (1 shared paper)
- Journals
- Frontiers in Immunology (1 paper)Journal of Biochemical and Molecular Toxicology (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)Archives of Biochemistry and Biophysics (1 paper)Tumor Biology (1 paper)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Tiejun Wang
19 papers receiving 290 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 114
- Molecular Biology 189
- Oncology 74
- Obstetrics and Gynecology 20
- Cell Biology 28
Countries citing papers authored by Tiejun Wang
This map shows the geographic impact of Tiejun 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 Tiejun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Wang more than expected).
Fields of papers citing papers by Tiejun Wang
This network shows the impact of papers produced by Tiejun 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 Tiejun Wang. The network helps show where Tiejun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2018 | 43 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 25 | |
| 5 | 2017 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 2 | |
| 18 | A randomized prospective study on combined treatment of patients with stage-III breast cancer | 2003 | 1 |
| 19 | 2022 | 1 |
About Tiejun Wang
Tiejun Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 19 papers that have together received 297 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pregnancy and preeclampsia studies (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (114 citations), Molecular Biology (189 citations), Oncology (74 citations), Obstetrics and Gynecology (20 citations) and Cell Biology (28 citations). Tiejun Wang has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Daozhen Chen, Yan Zhang, Ting Zhang, Jing Cheng, Ping Zou, Jie Mei, Liang Luo, Jianwei Zhou, Jingying Xiang and Minjian Chen. Their work appears in journals such as Frontiers in Immunology, Journal of Biochemical and Molecular Toxicology, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Archives of Biochemistry and Biophysics and Tumor Biology.
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.