Jian Tu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
- Neurology 21
- Vascular Malformations Diagnosis and Treatment 16
- Intracranial Aneurysms: Treatment and Complications 14
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 9
- Co-authors
- Qinghua CuiBin GengJichun YangTianzi JiangYang LiChengxiang QiuMarcus A. StoodleyZhongbin Chen
- Journals
- Stem Cell Research (6 papers)BioMed Research International (6 papers)Neurosurgery (4 papers)Diabetes (3 papers)Journal of neurosurgery (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jian Tu
115 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 1.6k
- Molecular Biology 2.3k
- Neurology 441
- Immunology 306
- Animal Science and Zoology 145
Countries citing papers authored by Jian Tu
This map shows the geographic impact of Jian Tu'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 Jian Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Tu more than expected).
Fields of papers citing papers by Jian Tu
This network shows the impact of papers produced by Jian Tu. 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 Jian Tu. The network helps show where Jian Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian Tu, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 57 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 233 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 7 | |
| 17 | 2012 | 16 | |
| 18 | 2010 | 24 | |
| 19 | 2009 | 22 | |
| 20 | 1998 | 11 |
About Jian Tu
Jian Tu is a scholar working on Neurology, Cancer Research, Rheumatology, Genetics and Molecular Biology, having authored 118 papers that have together received 4.1k indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (16 papers), RNA modifications and cancer (14 papers), Intracranial Aneurysms: Treatment and Complications (14 papers), Sarcoma Diagnosis and Treatment (12 papers), Cancer-related molecular mechanisms research (12 papers), CRISPR and Genetic Engineering (10 papers), MicroRNA in disease regulation (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.3k citations), Neurology (441 citations), Immunology (306 citations) and Animal Science and Zoology (145 citations). Jian Tu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qinghua Cui, Bin Geng, Jichun Yang, Tianzi Jiang, Yang Li, Chengxiang Qiu, Marcus A. Stoodley, Zhongbin Chen, Yaling Xing and Michael K. Morgan. Their work appears in journals such as Stem Cell Research, BioMed Research International, Neurosurgery, Diabetes and Journal of neurosurgery.
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.