Pengfei Yi
- Molecular Biology
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Tao HuangKehao LeQiuyang ZhaoZiwei HuangLongqiang WangMing XuHui GuoWenhui Li
- Topics
- RNA modifications and cancer (6 papers)Cancer-related molecular mechanisms research (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pengfei Yi
35 papers receiving 621 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 350
- Cancer Research 209
- Endocrinology, Diabetes and Metabolism 108
- Oncology 89
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Pengfei Yi
This map shows the geographic impact of Pengfei Yi'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 Pengfei Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Yi more than expected).
Fields of papers citing papers by Pengfei Yi
This network shows the impact of papers produced by Pengfei Yi. 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 Pengfei Yi. The network helps show where Pengfei Yi may publish in the future.
Co-authorship network of co-authors of Pengfei Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Yi. A scholar is included among the top collaborators of Pengfei Yi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pengfei Yi. Pengfei Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 23 | |
| 7 | Network Pharmacology-Based Prediction and Verification of the Active Ingredients and Potential Targets of Zuojinwan for Treating Colorectal Cancer | 3 |
| 8 | 12 | |
| 9 | 48 | |
| 10 | 86 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | Effectiveness of Xiang-Qi-Tang against Avian Pathogenic Escherichia coli | 4 |
| 16 | 21 | |
| 17 | 32 | |
| 18 | 41 | |
| 19 | 14 | |
| 20 | Effect of mongolian milkvetch root on NO,IL-5,inflammatory cells in BALF and serum of bronchial asthmatic rats | 0 |
About Pengfei Yi
Pengfei Yi is a scholar working on Cancer Research, Pharmacology and Complementary and alternative medicine, having authored 37 papers that have together received 629 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (209 citations), Endocrinology, Diabetes and Metabolism (108 citations) and Molecular Biology (350 citations). Pengfei Yi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tao Huang, Kehao Le, Qiuyang Zhao, Ziwei Huang, Longqiang Wang, Ming Xu, Hui Guo, Wenhui Li, Qiulei Zhang and Zeming Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.