Jun Jin
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Cell death mechanisms and regulation 3
- Protein Kinase Regulation and GTPase Signaling 2
-
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Zongning Miao (3 shared papers)Jidong Zhao (1 shared paper)Wei Huang (1 shared paper)Xueguang Zhang (1 shared paper)Lei Chen (1 shared paper)Jianzhong Zhu (1 shared paper)Chenyan Zhao (3 shared papers)Yao Lin (1 shared paper)
- Journals
- Critical Care (2 papers)Biochemical and Biophysical Research Communications (2 papers)Annals of Translational Medicine (2 papers)Journal of Ovarian Research (2 papers)Cell Death and Differentiation (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Jin
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Genetics 311
- Biomaterials 246
- Urology 65
- Infectious Diseases 162
- Critical Care and Intensive Care Medicine 32
Countries citing papers authored by Jun Jin
This map shows the geographic impact of Jun Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
Fields of papers citing papers by Jun Jin
This network shows the impact of papers produced by Jun Jin. 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 Jin. The network helps show where Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 381 | |
| 2 | 2020 | 187 | |
| 3 | 2005 | 131 | |
| 4 | 2008 | 63 | |
| 5 | 2008 | 56 | |
| 6 | 2009 | 51 | |
| 7 | 2020 | 49 | |
| 8 | 2020 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2006 | 38 | |
| 11 | 2019 | 36 | |
| 12 | 2020 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2012 | 30 | |
| 16 | 2021 | 28 | |
| 17 | 2022 | 26 | |
| 18 | 2022 | 22 | |
| 19 | 2005 | 20 | |
| 20 | 2011 | 20 |
About Jun Jin
Jun Jin is a scholar working on Molecular Biology, Epidemiology, Biomaterials, Oncology and Biomedical Engineering, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (5 papers), Bone Tissue Engineering Materials (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Sepsis Diagnosis and Treatment (3 papers), Periodontal Regeneration and Treatments (3 papers), Cell death mechanisms and regulation (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Genetics (311 citations), Biomaterials (246 citations), Urology (65 citations), Infectious Diseases (162 citations) and Critical Care and Intensive Care Medicine (32 citations). Jun Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zongning Miao, Jidong Zhao, Wei Huang, Xueguang Zhang, Lei Chen, Jianzhong Zhu, Chenyan Zhao, Yao Lin, Xin Yu and Jianhong Fu. Their work appears in journals such as Critical Care, Biochemical and Biophysical Research Communications, Annals of Translational Medicine, Journal of Ovarian Research and Cell Death and Differentiation.
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.