Jun Tie
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 14
- Liver Disease and Transplantation 14
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- Circular RNAs in diseases 3
- Cancer-related gene regulation 2
- Co-authors
- Daiming Fan (11 shared papers)Yongzhan Nie (6 shared papers)Yang Liu (1 shared paper)Yunshu Yang (2 shared papers)Yanhui Jia (1 shared paper)Yunwei Wang (1 shared paper)Dahai Hu (1 shared paper)Jinxin Zhang (1 shared paper)
- Journals
- Hepatology International (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Vascular and Interventional Radiology (2 papers)European Radiology (2 papers)Cancer Letters (1 paper)
- Partner nations
- China
In The Last Decade
Jun Tie
32 papers receiving 1.6k citations
Jun Tie's Hit Papers
Peers
Comparison fields: 5 of 94
- Geriatrics and Gerontology 129
- Cancer Research 563
- Hepatology 101
- Molecular Biology 826
- Developmental Neuroscience 25
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 | 468 |
| 2 | 2010 | 373 | |
| 3 | 2012 | 203 | |
| 4 | 2019 | 97 | |
| 5 | 2014 | 66 | |
| 6 | 2015 | 55 | |
| 7 | 2020 | 48 | |
| 8 | 2017 | 45 | |
| 9 | 2009 | 41 | |
| 10 | 2011 | 41 | |
| 11 | 2014 | 32 | |
| 12 | 2017 | 23 | |
| 13 | 2021 | 19 | |
| 14 | 2010 | 14 | |
| 15 | 2010 | 14 | |
| 16 | 2011 | 12 | |
| 17 | 2016 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 6 |
About Jun Tie
Jun Tie is a scholar working on Hepatology, Molecular Biology, Epidemiology, Cancer Research and Surgery, 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 (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Cancer-related gene regulation (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (129 citations), Cancer Research (563 citations), Hepatology (101 citations), Molecular Biology (826 citations) and Developmental Neuroscience (25 citations). Jun Tie has collaborated with scholars based in China. Frequent co-authors include Daiming Fan, Yongzhan Nie, Yang Liu, Yunshu Yang, Yanhui Jia, Yunwei Wang, Dahai Hu, Jinxin Zhang, Kaichun Wu and Yongguo Zhang. Their work appears in journals such as Hepatology International, Biochemical and Biophysical Research Communications, Journal of Vascular and Interventional Radiology, European Radiology and Cancer 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.