Jun Jin
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 15
- Sepsis Diagnosis and Treatment 9
- Influenza Virus Research Studies 3
-
- Bacterial Identification and Susceptibility Testing 3
- Co-authors
- Zongning Miao (3 shared papers)Jidong Zhao (1 shared paper)Xueguang Zhang (1 shared paper)Wei Huang (1 shared paper)Lei Chen (1 shared paper)Jianzhong Zhu (1 shared paper)Jianhong Fu (2 shared papers)Depei Wu (1 shared paper)
- Journals
- Critical Care (5 papers)Scientific Reports (2 papers)Journal of Ovarian Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Intensive Care Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Jin
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Genetics 297
- Infectious Diseases 257
- Biomaterials 135
- Clinical Biochemistry 34
- Critical Care and Intensive Care Medicine 23
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 384 | |
| 2 | 2020 | 210 | |
| 3 | 2008 | 64 | |
| 4 | 2008 | 57 | |
| 5 | 2020 | 55 | |
| 6 | 2020 | 53 | |
| 7 | 2009 | 51 | |
| 8 | 2020 | 46 | |
| 9 | 2017 | 42 | |
| 10 | 2006 | 39 | |
| 11 | 2019 | 37 | |
| 12 | 2014 | 35 | |
| 13 | 2020 | 35 | |
| 14 | 2012 | 31 | |
| 15 | 2021 | 31 | |
| 16 | 2021 | 30 | |
| 17 | 2022 | 26 | |
| 18 | 2024 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2017 | 21 |
About Jun Jin
Jun Jin is a scholar working on Epidemiology, Clinical Biochemistry, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Respiratory Support and Mechanisms (4 papers), COVID-19 Clinical Research Studies (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Bone Tissue Engineering Materials (3 papers), Influenza Virus Research Studies (3 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Genetics (297 citations), Infectious Diseases (257 citations), Biomaterials (135 citations), Clinical Biochemistry (34 citations) and Critical Care and Intensive Care Medicine (23 citations). Jun Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zongning Miao, Jidong Zhao, Xueguang Zhang, Wei Huang, Lei Chen, Jianzhong Zhu, Jianhong Fu, Depei Wu, Zhaoyue Wang and Chenyan Zhao. Their work appears in journals such as Critical Care, Scientific Reports, Journal of Ovarian Research, Biochemical and Biophysical Research Communications and Intensive Care Medicine.
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.