Guanjun Tu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Spine and Intervertebral Disc Pathology
Papers in
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- Spine and Intervertebral Disc Pathology 8
- Spinal Cord Injury Research 4
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Cong Lin (10 shared papers)Chen Lv (7 shared papers)Yue Zhu (3 shared papers)Yaxin Han (8 shared papers)Yongxue Zhu (1 shared paper)Yao Shi (4 shared papers)Yiwen Hu (2 shared papers)Cong Lin (2 shared papers)
- Journals
- Tumor Biology (2 papers)European Spine Journal (2 papers)Biochemical and Biophysical Research Communications (2 papers)Spine (2 papers)World Neurosurgery (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Guanjun Tu
33 papers receiving 712 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 229
- Pathology and Forensic Medicine 247
- Pharmacology 127
- Geriatrics and Gerontology 24
- Developmental Neuroscience 23
Countries citing papers authored by Guanjun Tu
This map shows the geographic impact of Guanjun 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 Guanjun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanjun Tu more than expected).
Fields of papers citing papers by Guanjun Tu
This network shows the impact of papers produced by Guanjun 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 Guanjun Tu. The network helps show where Guanjun Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanjun 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2017 | 54 | |
| 3 | 2016 | 47 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 38 | |
| 6 | 2021 | 38 | |
| 7 | 2016 | 34 | |
| 8 | 2017 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2010 | 26 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 24 | |
| 13 | 2014 | 24 | |
| 14 | 2014 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2013 | 21 | |
| 18 | Lithium enhanced cell proliferation and differentiation of mesenchymal stem cells to neural cells in rat spinal cord. | 2015 | 18 |
| 19 | 2010 | 15 | |
| 20 | 2017 | 14 |
About Guanjun Tu
Guanjun Tu is a scholar working on Pathology and Forensic Medicine, Cancer Research, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 724 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Mesenchymal stem cell research (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Spinal Cord Injury Research (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cancer Research (229 citations), Pathology and Forensic Medicine (247 citations), Pharmacology (127 citations), Geriatrics and Gerontology (24 citations) and Developmental Neuroscience (23 citations). Guanjun Tu has collaborated with scholars based in China and United States. Frequent co-authors include Cong Lin, Chen Lv, Yue Zhu, Yaxin Han, Yongxue Zhu, Yao Shi, Yiwen Hu, Cong Lin, Haosen Zhao and Xifan Mei. Their work appears in journals such as Tumor Biology, European Spine Journal, Biochemical and Biophysical Research Communications, Spine and World 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.