Jun Peng
Impact in
-
- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
Papers in
- Physiology 12
- Adipose Tissue and Metabolism 5
- Co-authors
- Liang LiPhilip W. ShaulYi‐Ting ChenChien‐Lun ChenChieko MineoKenneth HoytShashank R. SirsiDebabrata Ghosh
- Journals
- Nature Communications (2 papers)Molecular Metabolism (2 papers)Pharmacology (1 paper)Acta Pharmaceutica Sinica B (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Peng
39 papers receiving 864 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 441
- Endocrinology, Diabetes and Metabolism 105
- Spectroscopy 95
- Radiology, Nuclear Medicine and Imaging 119
- Epidemiology 172
Countries citing papers authored by Jun Peng
This map shows the geographic impact of Jun Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
Fields of papers citing papers by Jun Peng
This network shows the impact of papers produced by Jun Peng. 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 Peng. The network helps show where Jun Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Peng, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 15 | |
| 13 | [Farnesoid X receptor regulates glucose and lipid metabolisms]. | 2015 | 1 |
| 14 | 2015 | 11 | |
| 15 | 2014 | 40 | |
| 16 | Analysis of Volatile Components from Twelve Rhodiola Compounds by HS-GC-MS | 2013 | 1 |
| 17 | 2013 | 47 | |
| 18 | 2011 | 37 | |
| 19 | 2010 | 71 | |
| 20 | 2010 | 36 |
About Jun Peng
Jun Peng is a scholar working on Physiology, Pharmacology, Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 41 papers that have together received 870 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (5 papers), Cholesterol and Lipid Metabolism (4 papers), Ultrasound and Hyperthermia Applications (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Molecular Biology (441 citations), Endocrinology, Diabetes and Metabolism (105 citations), Spectroscopy (95 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Epidemiology (172 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Li, Philip W. Shaul, Yi‐Ting Chen, Chien‐Lun Chen, Chieko Mineo, Kenneth Hoyt, Shashank R. Sirsi, Debabrata Ghosh, Kevin Guo and Wen Su. Their work appears in journals such as Nature Communications, Molecular Metabolism, Pharmacology, Acta Pharmaceutica Sinica B and Journal of Proteome Research.
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.