Jun Guo
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Ion channel regulation and function 10
- Circular RNAs in diseases 8
- Epidemiology 15
- Co-authors
- Chao Liu (7 shared papers)Guan Sun (13 shared papers)Lei Shi (7 shared papers)Shetuan Zhang (10 shared papers)Dandan Li (1 shared paper)Pingjun Zhu (1 shared paper)Yundai Chen (1 shared paper)Nan Hu (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Infection and Drug Resistance (5 papers)Tumor Biology (3 papers)Molecular Pharmacology (2 papers)NeuroMolecular Medicine (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Guo
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Molecular Medicine 362
- Endocrinology 159
- Applied Microbiology and Biotechnology 49
- Cancer Research 339
- Molecular Biology 1.1k
Countries citing papers authored by Jun Guo
This map shows the geographic impact of Jun Guo'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 Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Guo more than expected).
Fields of papers citing papers by Jun Guo
This network shows the impact of papers produced by Jun Guo. 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 Guo. The network helps show where Jun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Guo, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 245 | |
| 2 | 2019 | 119 | |
| 3 | 2007 | 93 | |
| 4 | 2021 | 86 | |
| 5 | 2020 | 86 | |
| 6 | 2012 | 64 | |
| 7 | 2014 | 61 | |
| 8 | 2018 | 58 | |
| 9 | 2021 | 56 | |
| 10 | 2016 | 55 | |
| 11 | 2018 | 53 | |
| 12 | 2014 | 48 | |
| 13 | 2015 | 41 | |
| 14 | 2019 | 41 | |
| 15 | 2010 | 39 | |
| 16 | 2011 | 38 | |
| 17 | 2020 | 38 | |
| 18 | 2015 | 33 | |
| 19 | 2017 | 31 | |
| 20 | 2010 | 29 |
About Jun Guo
Jun Guo is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Medicine, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), MicroRNA in disease regulation (10 papers), Antibiotic Resistance in Bacteria (10 papers), Ion channel regulation and function (10 papers), Circular RNAs in diseases (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Virus-based gene therapy research (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Molecular Medicine (362 citations), Endocrinology (159 citations), Applied Microbiology and Biotechnology (49 citations), Cancer Research (339 citations) and Molecular Biology (1.1k citations). Jun Guo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Chao Liu, Guan Sun, Lei Shi, Shetuan Zhang, Dandan Li, Pingjun Zhu, Yundai Chen, Nan Hu, Shunying Hu and Hao Zhou. Their work appears in journals such as Journal of Biological Chemistry, Infection and Drug Resistance, Tumor Biology, Molecular Pharmacology and NeuroMolecular 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.