Jun Sun
Impact in
- Nephrology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Zaiqing Yang (6 shared papers)Chunhua Chen (2 shared papers)Qingsong Wang (2 shared papers)Dan Jin (4 shared papers)Yu An (4 shared papers)Xiaoling Yu (3 shared papers)Rong Liu (7 shared papers)William G. Stetler‐Stevenson (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)PLoS ONE (2 papers)Molecular and Cellular Endocrinology (2 papers)Briefings in Bioinformatics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Sun
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 122
- Nephrology 55
- Aging 14
- Molecular Biology 513
- Immunology and Allergy 37
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun 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 Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun 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 Jun Sun. The network helps show where Jun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2019 | 109 | |
| 3 | 2017 | 77 | |
| 4 | 2010 | 72 | |
| 5 | 2015 | 64 | |
| 6 | 2015 | 61 | |
| 7 | 2014 | 47 | |
| 8 | 2014 | 47 | |
| 9 | 2010 | 40 | |
| 10 | 2006 | 40 | |
| 11 | 2010 | 38 | |
| 12 | 2015 | 31 | |
| 13 | 2005 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2005 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2016 | 23 | |
| 18 | 2009 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2023 | 22 |
About Jun Sun
Jun Sun is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Physiology, Epidemiology and Cancer Research, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Protein Structure and Dynamics (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (122 citations), Nephrology (55 citations), Aging (14 citations), Molecular Biology (513 citations) and Immunology and Allergy (37 citations). Jun Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zaiqing Yang, Chunhua Chen, Qingsong Wang, Dan Jin, Yu An, Xiaoling Yu, Rong Liu, William G. Stetler‐Stevenson, Yang Zheng and Qian Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Molecular and Cellular Endocrinology, Briefings in Bioinformatics and Journal of Biological Chemistry.
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.