Shaoping Guan
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 8
- Metabolomics and Mass Spectrometry Studies 4
- ATP Synthase and ATPases Research 4
- Peroxisome Proliferator-Activated Receptors 3
- Sphingolipid Metabolism and Signaling 3
-
- Lipid metabolism and biosynthesis 6
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Richard W. Gross (16 shared papers)Xianlin Han (8 shared papers)Kui Yang (8 shared papers)Gang Sun (4 shared papers)Harold F. Sims (12 shared papers)Zhongdan Zhao (4 shared papers)David J. Mancuso (8 shared papers)Christopher M. Jenkins (11 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Analytical Chemistry (2 papers)Journal of Lipid Research (2 papers)Analytical Biochemistry (1 paper)iScience (1 paper)
- Partner nations
- United StatesBelarusRussia
In The Last Decade
Shaoping Guan
18 papers receiving 890 citations
Peers
Comparison fields: 5 of 88
- Biochemistry 145
- Clinical Biochemistry 109
- Spectroscopy 202
- Molecular Biology 688
- Physiology 136
Countries citing papers authored by Shaoping Guan
This map shows the geographic impact of Shaoping Guan'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 Shaoping Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Guan more than expected).
Fields of papers citing papers by Shaoping Guan
This network shows the impact of papers produced by Shaoping Guan. 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 Shaoping Guan. The network helps show where Shaoping Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoping Guan, 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 | 2008 | 155 | |
| 2 | 2013 | 101 | |
| 3 | 2009 | 78 | |
| 4 | 2008 | 76 | |
| 5 | 2007 | 73 | |
| 6 | 2010 | 67 | |
| 7 | 2017 | 63 | |
| 8 | 2012 | 55 | |
| 9 | 2013 | 42 | |
| 10 | 2006 | 40 | |
| 11 | 2012 | 37 | |
| 12 | 2016 | 31 | |
| 13 | 2019 | 21 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2023 | 4 |
About Shaoping Guan
Shaoping Guan is a scholar working on Molecular Biology, Biochemistry, Physiology, Spectroscopy and Cell Biology, having authored 18 papers that have together received 893 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Lipid metabolism and biosynthesis (6 papers), Adipose Tissue and Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), ATP Synthase and ATPases Research (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Biochemistry (145 citations), Clinical Biochemistry (109 citations), Spectroscopy (202 citations), Molecular Biology (688 citations) and Physiology (136 citations). Shaoping Guan has collaborated with scholars based in United States, Belarus and Russia. Frequent co-authors include Richard W. Gross, Xianlin Han, Kui Yang, Gang Sun, Harold F. Sims, Zhongdan Zhao, David J. Mancuso, Christopher M. Jenkins, Sung Ho Moon and Xinping Liu. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry, Journal of Lipid Research, Analytical Biochemistry and iScience.
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.