Jun Sheng
Impact in
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- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- RNA modifications and cancer
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- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 3
- Enzyme Catalysis and Immobilization 2
- Enzyme function and inhibition 2
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- Moringa oleifera research and applications 2
- Co-authors
- Alexander Varshavsky (4 shared papers)Ronggui Hu (2 shared papers)Zhenming Xu (1 shared paper)Terry T. Takahashi (1 shared paper)Xin Qi (1 shared paper)Yong Tae Kwon (2 shared papers)Ilia V. Davydov (2 shared papers)Youming Xie (1 shared paper)
- Journals
- Biochemistry (2 papers)Frontiers in Aging Neuroscience (1 paper)Frontiers in Pharmacology (1 paper)Journal of the Science of Food and Agriculture (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Sheng
16 papers receiving 645 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 473
- Oncology 153
- Aging 9
- Cell Biology 79
- Biotechnology 27
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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 262 | |
| 2 | 2003 | 127 | |
| 3 | 2006 | 63 | |
| 4 | 2002 | 39 | |
| 5 | 2022 | 29 | |
| 6 | 2022 | 24 | |
| 7 | 2018 | 19 | |
| 8 | 1996 | 18 | |
| 9 | 2011 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 1997 | 15 | |
| 12 | 1995 | 9 | |
| 13 | [Development and application of gene chip technology]. | 2008 | 6 |
| 14 | 2024 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2025 | 1 |
About Jun Sheng
Jun Sheng is a scholar working on Molecular Biology, Plant Science, Oncology, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 649 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Coffee research and impacts (2 papers), Enzyme Catalysis and Immobilization (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Enzyme function and inhibition (2 papers), Biocrusts and Microbial Ecology (2 papers) and Moringa oleifera research and applications (2 papers). The work is most often cited by research in Molecular Biology (473 citations), Oncology (153 citations), Aging (9 citations), Cell Biology (79 citations) and Biotechnology (27 citations). Jun Sheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Alexander Varshavsky, Ronggui Hu, Zhenming Xu, Terry T. Takahashi, Xin Qi, Yong Tae Kwon, Ilia V. Davydov, Youming Xie, Jack Preiss and Takafumi Tasaki. Their work appears in journals such as Biochemistry, Frontiers in Aging Neuroscience, Frontiers in Pharmacology, Journal of the Science of Food and Agriculture and Frontiers in Immunology.
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.