Jun Gu
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism 21
- Drug-Induced Hepatotoxicity and Protection 9
- Sensory Systems top 5%
- Pharmaceutical Science top 5%
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology 6
- Organic Chemistry top 5%
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- Drug Transport and Resistance Mechanisms 11
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- Pain Mechanisms and Treatments 8
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- Carcinogens and Genotoxicity Assessment 6
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- Glutathione Transferases and Polymorphisms 4
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Xinxin DingHegui GongWeichao XueXuan WangQing-Yu ZhangMelissa BehrWeizhu YangHuadong Cui
- Journals
- Journal of Pharmacology and Experimental Therapeutics (4 papers)Toxicology and Applied Pharmacology (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Gu
90 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Pharmacology 736
- Sensory Systems 131
- Pharmaceutical Science 117
- Biochemistry 134
- Organic Chemistry 524
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 50 | |
| 9 | 2023 | 41 | |
| 10 | 2023 | 20 | |
| 11 | 2019 | 13 | |
| 12 | 2017 | 5 | |
| 13 | Nickel-catalyzed reductive coupling of alkyl halides with other electrophiles: concept and mechanistic considerationsbreakdown → | 2015 | 448 |
| 14 | 2010 | 1 | |
| 15 | 2010 | 17 | |
| 16 | 2008 | 62 | |
| 17 | 2008 | 68 | |
| 18 | 2003 | 59 | |
| 19 | 2003 | 173 | |
| 20 | 2000 | 22 |
About Jun Gu
Jun Gu is a scholar working on Pharmacology, Cancer Research and Biochemistry, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (21 papers), Drug Transport and Resistance Mechanisms (11 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Pain Mechanisms and Treatments (8 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Glutathione Transferases and Polymorphisms (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Pharmacology (736 citations), Sensory Systems (131 citations) and Pharmaceutical Science (117 citations). Jun Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinxin Ding, Hegui Gong, Weichao Xue, Xuan Wang, Qing-Yu Zhang, Qing-Yu Zhang, Melissa Behr, Weizhu Yang, Huadong Cui and Ting Su. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Toxicology and Applied Pharmacology, Scientific Reports, Journal of Biological Chemistry and Drug Metabolism and Disposition.
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.