Jun Peng
Impact in
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- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications
Papers in
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- Metabolomics and Mass Spectrometry Studies 6
- Metabolism, Diabetes, and Cancer 5
- Peroxisome Proliferator-Activated Receptors 4
- Glycosylation and Glycoproteins Research 2
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Liang Li (5 shared papers)Philip W. Shaul (10 shared papers)Chien‐Lun Chen (1 shared paper)Yi‐Ting Chen (1 shared paper)Chieko Mineo (8 shared papers)Kenneth Hoyt (6 shared papers)Shashank R. Sirsi (6 shared papers)Debabrata Ghosh (4 shared papers)
- Journals
- Nature Communications (2 papers)Molecular Metabolism (2 papers)Acta Pharmaceutica Sinica B (1 paper)Biological Trace Element Research (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Peng
38 papers receiving 862 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 394
- Spectroscopy 92
- Endocrinology, Diabetes and Metabolism 79
- Radiology, Nuclear Medicine and Imaging 99
- Epidemiology 138
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-authors
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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 89 | |
| 2 | 2017 | 88 | |
| 3 | 2010 | 72 | |
| 4 | 2019 | 53 | |
| 5 | 2018 | 48 | |
| 6 | 2013 | 48 | |
| 7 | 2019 | 42 | |
| 8 | 2014 | 40 | |
| 9 | 2010 | 38 | |
| 10 | 2011 | 37 | |
| 11 | 2018 | 32 | |
| 12 | 2023 | 31 | |
| 13 | 2005 | 29 | |
| 14 | 2017 | 26 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2021 | 13 |
About Jun Peng
Jun Peng is a scholar working on Molecular Biology, Epidemiology, Surgery, Physiology and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 868 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Isotope Analysis in Ecology (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Molecular Biology (394 citations), Spectroscopy (92 citations), Endocrinology, Diabetes and Metabolism (79 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Epidemiology (138 citations). Jun Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Li, Philip W. Shaul, Chien‐Lun Chen, Yi‐Ting 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, Acta Pharmaceutica Sinica B, Biological Trace Element Research and Journal of Molecular Medicine.
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.