Jun Huang
Impact in
- Food Science top 1%
- Probiotics and Fermented Foods
- Plant Science top 2%
- GABA and Rice Research
- Polysaccharides and Plant Cell Walls
- Plant Molecular Biology Research
Papers in
-
- GABA and Rice Research 27
-
- Microbial Metabolic Engineering and Bioproduction 16
- Enzyme Catalysis and Immobilization 15
- Polyamine Metabolism and Applications 5
- Co-authors
- Lehe Mei (45 shared papers)Sheng Hu (25 shared papers)Jianwei Mao (12 shared papers)Weirui Zhao (23 shared papers)Shiwang Liu (11 shared papers)Shan‐Jing Yao (14 shared papers)Kai Yu (4 shared papers)Changjiang Lyu (20 shared papers)
- Journals
- Molecules (7 papers)Acta Crystallographica Section C Crystal Structure Communications (6 papers)Biotechnology and Bioengineering (4 papers)Carbohydrate Polymers (4 papers)Process Biochemistry (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Huang
90 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Food Science 652
- Plant Science 862
- Complementary and alternative medicine 172
- Biochemistry 97
- Biomaterials 152
Countries citing papers authored by Jun Huang
This map shows the geographic impact of Jun Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Huang more than expected).
Fields of papers citing papers by Jun Huang
This network shows the impact of papers produced by Jun Huang. 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 Huang. The network helps show where Jun Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Huang, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 140 | |
| 2 | 2006 | 92 | |
| 3 | 2018 | 87 | |
| 4 | 2013 | 75 | |
| 5 | 2016 | 66 | |
| 6 | 2011 | 65 | |
| 7 | 2011 | 63 | |
| 8 | 2011 | 62 | |
| 9 | 2006 | 59 | |
| 10 | 2014 | 57 | |
| 11 | 2007 | 54 | |
| 12 | 2021 | 53 | |
| 13 | 2011 | 52 | |
| 14 | 2012 | 44 | |
| 15 | 1995 | 44 | |
| 16 | 2019 | 43 | |
| 17 | 2018 | 39 | |
| 18 | 2014 | 38 | |
| 19 | 2018 | 37 | |
| 20 | 2016 | 36 |
About Jun Huang
Jun Huang is a scholar working on Plant Science, Molecular Biology, Food Science, Organic Chemistry and Physiology, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include GABA and Rice Research (27 papers), Probiotics and Fermented Foods (24 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Enzyme Catalysis and Immobilization (15 papers), Biochemical effects in animals (12 papers), Amino Acid Enzymes and Metabolism (11 papers), Medicinal Plants and Neuroprotection (6 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Food Science (652 citations), Plant Science (862 citations), Complementary and alternative medicine (172 citations), Biochemistry (97 citations) and Biomaterials (152 citations). Jun Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lehe Mei, Sheng Hu, Jianwei Mao, Weirui Zhao, Shiwang Liu, Shan‐Jing Yao, Kai Yu, Changjiang Lyu, Dong‐Qiang Lin and Jinyan Gong. Their work appears in journals such as Molecules, Acta Crystallographica Section C Crystal Structure Communications, Biotechnology and Bioengineering, Carbohydrate Polymers and Process Biochemistry.
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.