Jun Tie
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
- Hepatology 14
- Liver Disease and Transplantation 14
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 12
- Co-authors
- Daiming Fan (11 shared papers)Yongzhan Nie (6 shared papers)Jinxin Zhang (1 shared paper)Dahai Hu (1 shared paper)Yang Liu (1 shared paper)Yunwei Wang (1 shared paper)Yanhui Jia (1 shared paper)Yunshu Yang (2 shared papers)
- Journals
- Hepatology International (3 papers)European Radiology (2 papers)Journal of Vascular and Interventional Radiology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Gene (1 paper)
- Partner nations
- China
In The Last Decade
Jun Tie
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 659
- Geriatrics and Gerontology 129
- Molecular Biology 1.0k
- Hepatology 100
- Biological Psychiatry 17
Countries citing papers authored by Jun Tie
This map shows the geographic impact of Jun Tie'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 Jun Tie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tie more than expected).
Fields of papers citing papers by Jun Tie
This network shows the impact of papers produced by Jun Tie. 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 Jun Tie. The network helps show where Jun Tie may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tie, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation of SIRT1 and Its Roles in Inflammation Hit paper breakdown → | 2022 | 432 |
| 2 | 2010 | 373 | |
| 3 | 2012 | 202 | |
| 4 | 2019 | 90 | |
| 5 | 2014 | 66 | |
| 6 | 2015 | 53 | |
| 7 | 2020 | 46 | |
| 8 | 2017 | 44 | |
| 9 | 2011 | 42 | |
| 10 | 2009 | 41 | |
| 11 | 2014 | 32 | |
| 12 | 2017 | 22 | |
| 13 | 2021 | 18 | |
| 14 | 2010 | 14 | |
| 15 | 2010 | 14 | |
| 16 | 2011 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Jun Tie
Jun Tie is a scholar working on Hepatology, Epidemiology, Molecular Biology, Surgery and Cancer Research, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Organ Transplantation Techniques and Outcomes (9 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cancer Research and Treatments (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (659 citations), Geriatrics and Gerontology (129 citations), Molecular Biology (1.0k citations), Hepatology (100 citations) and Biological Psychiatry (17 citations). Jun Tie has collaborated with scholars based in China. Frequent co-authors include Daiming Fan, Yongzhan Nie, Jinxin Zhang, Dahai Hu, Yang Liu, Yunwei Wang, Yanhui Jia, Yunshu Yang, Kaichun Wu and Yanglin Pan. Their work appears in journals such as Hepatology International, European Radiology, Journal of Vascular and Interventional Radiology, Biochemical and Biophysical Research Communications and Gene.
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.