Shuo Pan
Impact in
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
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- Advanced Glycation End Products research 5
- Co-authors
- Zhongwei Liu (13 shared papers)Bang‐Dang Chen (15 shared papers)Yi‐Ning Yang (12 shared papers)Zhiguo Tang (4 shared papers)Fuqiang Liu (6 shared papers)Ling Zhu (7 shared papers)Qianwei Cui (4 shared papers)Fen Liu (8 shared papers)
- Journals
- Lipids in Health and Disease (5 papers)Journal of the American College of Cardiology (3 papers)BMC Cardiovascular Disorders (2 papers)Oncotarget (2 papers)Metabolic Syndrome and Related Disorders (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Shuo Pan
50 papers receiving 812 citations
Peers
Comparison fields: 5 of 95
- Clinical Biochemistry 52
- Endocrinology, Diabetes and Metabolism 89
- Cancer Research 74
- Molecular Biology 324
- Nephrology 26
Countries citing papers authored by Shuo Pan
This map shows the geographic impact of Shuo Pan'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 Shuo Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Pan more than expected).
Fields of papers citing papers by Shuo Pan
This network shows the impact of papers produced by Shuo Pan. 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 Shuo Pan. The network helps show where Shuo Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo Pan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 128 | |
| 2 | 2022 | 51 | |
| 3 | 2017 | 51 | |
| 4 | 2015 | 44 | |
| 5 | 2017 | 38 | |
| 6 | 2014 | 36 | |
| 7 | 2023 | 33 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2014 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2018 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2014 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2014 | 15 |
About Shuo Pan
Shuo Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Cancer Research and Nephrology, having authored 51 papers that have together received 821 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Advanced Glycation End Products research (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), CRISPR and Genetic Engineering (3 papers), NF-κB Signaling Pathways (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Gut microbiota and health (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). The work is most often cited by research in Clinical Biochemistry (52 citations), Endocrinology, Diabetes and Metabolism (89 citations), Cancer Research (74 citations), Molecular Biology (324 citations) and Nephrology (26 citations). Shuo Pan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhongwei Liu, Bang‐Dang Chen, Yi‐Ning Yang, Zhiguo Tang, Fuqiang Liu, Ling Zhu, Qianwei Cui, Fen Liu, Yitong Ma and Yong Zhang. Their work appears in journals such as Lipids in Health and Disease, Journal of the American College of Cardiology, BMC Cardiovascular Disorders, Oncotarget and Metabolic Syndrome and Related Disorders.
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.