Jun Sheng
Impact in
- Pharmacology top 1%
- Biological and pharmacological studies of plants
- Fungal Biology and Applications
-
- Tea Polyphenols and Effects
Papers in
-
- Tea Polyphenols and Effects 33
-
- Moringa oleifera research and applications 27
- Co-authors
- Xuanjun Wang (92 shared papers)Yang Tian (45 shared papers)Vitaly Citovsky (1 shared paper)Yewei Huang (19 shared papers)Huanhuan Xu (27 shared papers)Titi Liu (19 shared papers)Xiaoyu Gao (11 shared papers)Jiang‐Miao Hu (7 shared papers)
- Journals
- Molecules (14 papers)Frontiers in Pharmacology (8 papers)Biomedicine & Pharmacotherapy (8 papers)International Journal of Molecular Sciences (8 papers)Food & Function (6 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jun Sheng
234 papers receiving 6.3k citations
Jun Sheng's Hit Papers
Peers
Comparison fields: 5 of 139
- Pharmacology 638
- Pathology and Forensic Medicine 657
- Plant Science 1.1k
- Molecular Biology 1.7k
- Food Science 528
Countries citing papers authored by Jun Sheng
This map shows the geographic impact of Jun Sheng'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 Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sheng more than expected).
Fields of papers citing papers by Jun Sheng
This network shows the impact of papers produced by Jun Sheng. 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 Sheng. The network helps show where Jun Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sheng, 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 248 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fungal diversity notes 1151–1276: taxonomic and phylogenetic contributions on genera and species of fungal taxa Hit paper breakdown → | 2020 | 244 |
| 2 | 2015 | 234 | |
| 3 | 1996 | 218 | |
| 4 | 2021 | 171 | |
| 5 | 2020 | 170 | |
| 6 | 2018 | 146 | |
| 7 | 2015 | 137 | |
| 8 | 2011 | 129 | |
| 9 | 2015 | 116 | |
| 10 | 1992 | 113 | |
| 11 | 2020 | 108 | |
| 12 | 2013 | 107 | |
| 13 | 2021 | 105 | |
| 14 | 2017 | 102 | |
| 15 | 2020 | 97 | |
| 16 | 2018 | 89 | |
| 17 | 2018 | 86 | |
| 18 | 2014 | 81 | |
| 19 | 2018 | 71 | |
| 20 | 2018 | 61 |
About Jun Sheng
Jun Sheng is a scholar working on Pathology and Forensic Medicine, Plant Science, Molecular Biology, Pharmacology and Food Science, having authored 248 papers that have together received 6.5k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (33 papers), Moringa oleifera research and applications (27 papers), Bone Metabolism and Diseases (19 papers), Cholesterol and Lipid Metabolism (10 papers), Biological and pharmacological studies of plants (9 papers), Gut microbiota and health (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Proteins in Food Systems (7 papers). The work is most often cited by research in Pharmacology (638 citations), Pathology and Forensic Medicine (657 citations), Plant Science (1.1k citations), Molecular Biology (1.7k citations) and Food Science (528 citations). Jun Sheng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuanjun Wang, Yang Tian, Vitaly Citovsky, Yewei Huang, Huanhuan Xu, Titi Liu, Xiaoyu Gao, Jiang‐Miao Hu, Liang Tao and Chongying Shi. Their work appears in journals such as Molecules, Frontiers in Pharmacology, Biomedicine & Pharmacotherapy, International Journal of Molecular Sciences and Food & Function.
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.