Jun Tu
Impact in
- Geriatrics and Gerontology top 10%
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 7
- Bone Metabolism and Diseases 2
- TGF-β signaling in diseases 2
- Oncology 7
- Peptidase Inhibition and Analysis 2
- Co-authors
- Qingli Li (1 shared paper)Yaozong Yuan (1 shared paper)Ru‐Lin Huang (2 shared papers)Gang‐Ming Zou (2 shared papers)Chengliang Liu (2 shared papers)Mingjun Wang (1 shared paper)Yubin Miao (1 shared paper)Jinke Cheng (10 shared papers)
- Journals
- Cell Death and Disease (2 papers)Energy Conversion and Management (1 paper)Veterinary Sciences (1 paper)Osteoarthritis and Cartilage (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Tu
34 papers receiving 949 citations
Peers
Comparison fields: 5 of 135
- Geriatrics and Gerontology 34
- Rehabilitation 47
- Cancer Research 93
- Genetics 65
- Molecular Biology 423
Countries citing papers authored by Jun Tu
This map shows the geographic impact of Jun 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 Jun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tu more than expected).
Fields of papers citing papers by Jun Tu
This network shows the impact of papers produced by Jun 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 Jun Tu. The network helps show where Jun Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 158 | |
| 2 | 2009 | 112 | |
| 3 | 2013 | 108 | |
| 4 | 2022 | 93 | |
| 5 | 2020 | 64 | |
| 6 | 2020 | 64 | |
| 7 | 2021 | 55 | |
| 8 | 2014 | 37 | |
| 9 | 2020 | 30 | |
| 10 | 2011 | 28 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2007 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2019 | 11 |
About Jun Tu
Jun Tu is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Epidemiology, having authored 35 papers that have together received 961 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), interferon and immune responses (3 papers), Knee injuries and reconstruction techniques (3 papers), Immune cells in cancer (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Bone Metabolism and Diseases (2 papers), Peptidase Inhibition and Analysis (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (34 citations), Rehabilitation (47 citations), Cancer Research (93 citations), Genetics (65 citations) and Molecular Biology (423 citations). Jun Tu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qingli Li, Yaozong Yuan, Ru‐Lin Huang, Gang‐Ming Zou, Chengliang Liu, Mingjun Wang, Yubin Miao, Jinke Cheng, Guangwang Liu and Qingfeng Li. Their work appears in journals such as Cell Death and Disease, Energy Conversion and Management, Veterinary Sciences, Osteoarthritis and Cartilage and Theranostics.
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.