Chengjun Sun
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 20
- Evolution and Genetic Dynamics 7
- Diabetes and associated disorders 6
-
- Mathematical and Theoretical Epidemiology and Ecology Models 15
- Co-authors
- William G. Wee (1 shared paper)Wei Hong Yang (6 shared papers)Huangkai Zhou (1 shared paper)Yibing Yang (1 shared paper)Xinya Gao (1 shared paper)Suyun Huang (1 shared paper)Nu Zhang (1 shared paper)Xuesong Yang (1 shared paper)
- Journals
- Chaos Solitons & Fractals (8 papers)Translational Pediatrics (4 papers)Diabetic Medicine (2 papers)DNA and Cell Biology (2 papers)Human Immunology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Chengjun Sun
69 papers receiving 2.6k citations
Chengjun Sun's Hit Papers
Peers
Comparison fields: 5 of 152
- Modeling and Simulation 421
- Cancer Research 761
- Public Health, Environmental and Occupational Health 537
- Molecular Biology 1.1k
- Genetics 436
Countries citing papers authored by Chengjun Sun
This map shows the geographic impact of Chengjun Sun'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 Chengjun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengjun Sun more than expected).
Fields of papers citing papers by Chengjun Sun
This network shows the impact of papers produced by Chengjun Sun. 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 Chengjun Sun. The network helps show where Chengjun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengjun Sun, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Novel Role of FBXW7 Circular RNA in Repressing Glioma Tumorigenesis Hit paper breakdown → | 2017 | 878 |
| 2 | 1983 | 291 | |
| 3 | 2011 | 164 | |
| 4 | 2020 | 128 | |
| 5 | 2009 | 107 | |
| 6 | 2013 | 79 | |
| 7 | 2006 | 62 | |
| 8 | 2005 | 56 | |
| 9 | 2014 | 53 | |
| 10 | 2020 | 48 | |
| 11 | 2005 | 47 | |
| 12 | 2010 | 47 | |
| 13 | 2010 | 45 | |
| 14 | 2013 | 45 | |
| 15 | 2018 | 32 | |
| 16 | 2006 | 32 | |
| 17 | 2009 | 26 | |
| 18 | 2011 | 25 | |
| 19 | 2008 | 24 | |
| 20 | 2007 | 21 |
About Chengjun Sun
Chengjun Sun is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Molecular Biology, Immunology and Modeling and Simulation, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), COVID-19 epidemiological studies (7 papers), Evolution and Genetic Dynamics (7 papers), Diabetes and associated disorders (6 papers), Advanced Differential Equations and Dynamical Systems (5 papers), Immune Cell Function and Interaction (4 papers), Adolescent Sexual and Reproductive Health (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Modeling and Simulation (421 citations), Cancer Research (761 citations), Public Health, Environmental and Occupational Health (537 citations), Molecular Biology (1.1k citations) and Genetics (436 citations). Chengjun Sun has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include William G. Wee, Wei Hong Yang, Huangkai Zhou, Yibing Yang, Xinya Gao, Suyun Huang, Nu Zhang, Xuesong Yang, Kun Zhao and Feizhe Xiao. Their work appears in journals such as Chaos Solitons & Fractals, Translational Pediatrics, Diabetic Medicine, DNA and Cell Biology and Human Immunology.
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.