Jun Hao
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Nephrology 13
- Renal Diseases and Glomerulopathies 10
- Chronic Kidney Disease and Diabetes 5
- Co-authors
- Qingjuan Liu (22 shared papers)Zhao Song (20 shared papers)Shuxia Liu (21 shared papers)Huijun Duan (18 shared papers)Lin Zhu (17 shared papers)Feng Gao (3 shared papers)Keqi Jia (6 shared papers)Fan Li (2 shared papers)
- Journals
- Journal of Cellular Biochemistry (6 papers)Experimental Cell Research (6 papers)Neurochemical Research (2 papers)The International Journal of Biochemistry & Cell Biology (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Hao
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Nephrology 264
- Clinical Biochemistry 96
- Cancer Research 176
- Molecular Biology 629
- Immunology 174
Countries citing papers authored by Jun Hao
This map shows the geographic impact of Jun Hao'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 Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hao more than expected).
Fields of papers citing papers by Jun Hao
This network shows the impact of papers produced by Jun Hao. 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 Hao. The network helps show where Jun Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hao, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2013 | 78 | |
| 3 | 2019 | 60 | |
| 4 | 2011 | 58 | |
| 5 | 2021 | 57 | |
| 6 | 2018 | 53 | |
| 7 | 2008 | 51 | |
| 8 | 2016 | 50 | |
| 9 | 2021 | 44 | |
| 10 | 2015 | 43 | |
| 11 | 2012 | 39 | |
| 12 | 2012 | 37 | |
| 13 | 2011 | 36 | |
| 14 | 2013 | 34 | |
| 15 | 2010 | 32 | |
| 16 | 2012 | 29 | |
| 17 | 2021 | 27 | |
| 18 | 2011 | 27 | |
| 19 | 2015 | 27 | |
| 20 | 2010 | 24 |
About Jun Hao
Jun Hao is a scholar working on Molecular Biology, Nephrology, Surgery, Cellular and Molecular Neuroscience and Immunology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Nerve injury and regeneration (8 papers), Cholesterol and Lipid Metabolism (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Lipid metabolism and biosynthesis (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). The work is most often cited by research in Nephrology (264 citations), Clinical Biochemistry (96 citations), Cancer Research (176 citations), Molecular Biology (629 citations) and Immunology (174 citations). Jun Hao has collaborated with scholars based in China and United States. Frequent co-authors include Qingjuan Liu, Zhao Song, Shuxia Liu, Huijun Duan, Lin Zhu, Feng Gao, Keqi Jia, Fan Li, Zhaoxia Xu and Hui Wang. Their work appears in journals such as Journal of Cellular Biochemistry, Experimental Cell Research, Neurochemical Research, The International Journal of Biochemistry & Cell Biology and Journal of Cellular Physiology.
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.