Shifeng Pan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
-
- Extracellular vesicles in disease 5
- Peroxisome Proliferator-Activated Receptors 4
- Physiology 14
- Adipose Tissue and Metabolism 14
- Co-authors
- Kang Zhao (6 shared papers)Junbiao Chang (2 shared papers)Ruqian Zhao (6 shared papers)Yimin Jia (8 shared papers)Xiaojing Yang (4 shared papers)Demin Cai (7 shared papers)Xing Hua (13 shared papers)Jian Hong (2 shared papers)
- Journals
- Tetrahedron Letters (4 papers)European Journal of Nutrition (3 papers)Cancer Research (3 papers)Veterinary Sciences (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Shifeng Pan
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 252
- Molecular Biology 1.0k
- Organic Chemistry 419
- Physiology 246
- Oncology 216
Countries citing papers authored by Shifeng Pan
This map shows the geographic impact of Shifeng 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 Shifeng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shifeng Pan more than expected).
Fields of papers citing papers by Shifeng Pan
This network shows the impact of papers produced by Shifeng 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 Shifeng Pan. The network helps show where Shifeng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shifeng 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 325 | |
| 2 | 2016 | 173 | |
| 3 | 2002 | 153 | |
| 4 | 2013 | 130 | |
| 5 | 2006 | 108 | |
| 6 | 2014 | 88 | |
| 7 | 2005 | 64 | |
| 8 | 2011 | 61 | |
| 9 | 1998 | 49 | |
| 10 | 2012 | 45 | |
| 11 | 2016 | 44 | |
| 12 | 2022 | 42 | |
| 13 | 2015 | 37 | |
| 14 | 2017 | 27 | |
| 15 | 2020 | 24 | |
| 16 | 2014 | 23 | |
| 17 | 2016 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2003 | 20 |
About Shifeng Pan
Shifeng Pan is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Cancer Research and Animal Science and Zoology, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), MicroRNA in disease regulation (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Animal Nutrition and Physiology (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Extracellular vesicles in disease (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Cancer Research (252 citations), Molecular Biology (1.0k citations), Organic Chemistry (419 citations), Physiology (246 citations) and Oncology (216 citations). Shifeng Pan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Kang Zhao, Junbiao Chang, Ruqian Zhao, Yimin Jia, Xiaojing Yang, Demin Cai, Xing Hua, Jian Hong, Ruqian Zhao and Longfei Jia. Their work appears in journals such as Tetrahedron Letters, European Journal of Nutrition, Cancer Research, Veterinary Sciences and Bioorganic & Medicinal Chemistry Letters.
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.