Jun Gu
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Dialysis and Renal Disease Management
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pharmacogenetics and Drug Metabolism 8
-
- Olfactory and Sensory Function Studies 4
- Co-authors
- Xinxin Ding (7 shared papers)Ling Nie (3 shared papers)Jinghong Zhao (3 shared papers)Ke Yang (3 shared papers)Melissa J. Behr (4 shared papers)Ting He (2 shared papers)Qing-Yu Zhang (4 shared papers)Tangli Xiao (1 shared paper)
- Journals
- Drug Metabolism and Disposition (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Biochemical and Biophysical Research Communications (2 papers)Toxicology and Applied Pharmacology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Gu
30 papers receiving 887 citations
Peers
Comparison fields: 5 of 98
- Nephrology 233
- Pharmacology 133
- Sensory Systems 56
- Applied Microbiology and Biotechnology 17
- Cancer Research 107
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Gu. The network helps show where Jun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 2015 | 108 | |
| 3 | 2004 | 56 | |
| 4 | 2020 | 55 | |
| 5 | 2017 | 52 | |
| 6 | 2015 | 47 | |
| 7 | 2017 | 42 | |
| 8 | 1997 | 37 | |
| 9 | 2011 | 33 | |
| 10 | 2003 | 32 | |
| 11 | 1999 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2008 | 25 | |
| 14 | Both high expression of pyruvate kinase M2 and vascular endothelial growth factor-C predicts poorer prognosis in human breast cancer. | 2015 | 25 |
| 15 | 2020 | 25 | |
| 16 | 2004 | 24 | |
| 17 | 2011 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2013 | 13 | |
| 20 | 2013 | 12 |
About Jun Gu
Jun Gu is a scholar working on Pharmacology, Sensory Systems, Cancer Research, Nephrology and Oncology, having authored 30 papers that have together received 902 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers), Olfactory and Sensory Function Studies (4 papers), Parathyroid Disorders and Treatments (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Nephrology (233 citations), Pharmacology (133 citations), Sensory Systems (56 citations), Applied Microbiology and Biotechnology (17 citations) and Cancer Research (107 citations). Jun Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xinxin Ding, Ling Nie, Jinghong Zhao, Ke Yang, Melissa J. Behr, Ting He, Qing-Yu Zhang, Tangli Xiao, Xinli Xu and Song Wang. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Biochemical and Biophysical Research Communications, Toxicology and Applied Pharmacology and Molecular Pharmacology.
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.