Jun Ning
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Sulfur-Based Synthesis Techniques
- Insect Science top 5%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
Papers in
-
- Carbohydrate Chemistry and Synthesis 33
- Synthesis and biological activity 8
-
- Insect and Pesticide Research 10
- Co-authors
- Fanzuo Kong (23 shared papers)Xiangdong Mei (42 shared papers)Dongmei She (19 shared papers)Tao Zhang (19 shared papers)Ying Zeng (3 shared papers)Changcai Wu (6 shared papers)Hairong Wang (3 shared papers)Fengshou Dong (3 shared papers)
- Journals
- Carbohydrate Research (15 papers)Pest Management Science (8 papers)Tetrahedron Letters (5 papers)Journal of Agricultural and Food Chemistry (5 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Ning
128 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Organic Chemistry 649
- Insect Science 243
- Biotechnology 109
- Pollution 123
- Plant Science 308
Countries citing papers authored by Jun Ning
This map shows the geographic impact of Jun Ning'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 Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ning more than expected).
Fields of papers citing papers by Jun Ning
This network shows the impact of papers produced by Jun Ning. 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 Ning. The network helps show where Jun Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ning, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2020 | 72 | |
| 3 | 2002 | 71 | |
| 4 | 2020 | 63 | |
| 5 | 2003 | 61 | |
| 6 | 2019 | 51 | |
| 7 | 2003 | 47 | |
| 8 | 2009 | 45 | |
| 9 | 2019 | 43 | |
| 10 | 2020 | 42 | |
| 11 | 2010 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2003 | 31 | |
| 15 | 2010 | 28 | |
| 16 | 2013 | 25 | |
| 17 | 2002 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2010 | 22 |
About Jun Ning
Jun Ning is a scholar working on Organic Chemistry, Insect Science, Plant Science, Molecular Biology and Pharmacology, having authored 131 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (33 papers), Glycosylation and Glycoproteins Research (20 papers), Legume Nitrogen Fixing Symbiosis (12 papers), Insect and Pesticide Research (10 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Polysaccharides and Plant Cell Walls (8 papers), Synthesis and biological activity (8 papers) and Pesticide Exposure and Toxicity (8 papers). The work is most often cited by research in Organic Chemistry (649 citations), Insect Science (243 citations), Biotechnology (109 citations), Pollution (123 citations) and Plant Science (308 citations). Jun Ning has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fanzuo Kong, Xiangdong Mei, Dongmei She, Tao Zhang, Ying Zeng, Changcai Wu, Hairong Wang, Fengshou Dong, Mingkun Fu and Hai Yan. Their work appears in journals such as Carbohydrate Research, Pest Management Science, Tetrahedron Letters, Journal of Agricultural and Food Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.