Jun Yin
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Phytochemicals and Antioxidant Activities
- Pharmacology top 5%
- Berberine and alkaloids research
Papers in
-
- RNA Interference and Gene Delivery 10
- Fibroblast Growth Factor Research 6
- Advanced biosensing and bioanalysis techniques 6
- Natural product bioactivities and synthesis 5
- Genetics 14
- Virus-based gene therapy research 8
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Xiangdong Gao (20 shared papers)Lichen Bao (13 shared papers)Jinfeng Tang (2 shared papers)Qun Wang (8 shared papers)Ming‐Dao Chen (2 shared papers)Fengying Li (1 shared paper)Jialun Chen (1 shared paper)Vishwajeet Puri (2 shared papers)
- Journals
- Molecules (12 papers)British Journal of Pharmacology (4 papers)Journal of Controlled Release (3 papers)PLoS ONE (2 papers)Biochimie (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Jun Yin
81 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Biochemistry 171
- Biochemistry 78
- Pharmacology 110
- Molecular Biology 861
- Pharmacology 180
Countries citing papers authored by Jun Yin
This map shows the geographic impact of Jun Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yin more than expected).
Fields of papers citing papers by Jun Yin
This network shows the impact of papers produced by Jun Yin. 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 Yin. The network helps show where Jun Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yin, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 218 | |
| 2 | 2011 | 111 | |
| 3 | 2014 | 95 | |
| 4 | 2017 | 79 | |
| 5 | 2018 | 78 | |
| 6 | 2012 | 71 | |
| 7 | 2018 | 62 | |
| 8 | 2011 | 56 | |
| 9 | 2013 | 55 | |
| 10 | 2019 | 38 | |
| 11 | 2021 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2010 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2010 | 29 | |
| 16 | 2023 | 28 | |
| 17 | 2016 | 27 | |
| 18 | 2019 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2016 | 23 |
About Jun Yin
Jun Yin is a scholar working on Molecular Biology, Genetics, Plant Science, Pharmacology and Oncology, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Virus-based gene therapy research (8 papers), Fibroblast Growth Factor Research (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Natural product bioactivities and synthesis (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). The work is most often cited by research in Biochemistry (171 citations), Biochemistry (78 citations), Pharmacology (110 citations), Molecular Biology (861 citations) and Pharmacology (180 citations). Jun Yin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xiangdong Gao, Lichen Bao, Jinfeng Tang, Qun Wang, Ming‐Dao Chen, Fengying Li, Jialun Chen, Vishwajeet Puri, Ying Yang and Renming Hu. Their work appears in journals such as Molecules, British Journal of Pharmacology, Journal of Controlled Release, PLoS ONE and Biochimie.
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.