Ying Feng
- Molecular Biology
- Plant Science top 10%
- Oncology
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Ying LengMengmeng NingJianhua ShenSuling HuangZhiqin XieYuanming ChengWenwu WuYangliang Ye
- Topics
- Diabetes Treatment and Management (10 papers)Plant and Fungal Species Descriptions (7 papers)Pharmacological Effects of Natural Compounds (7 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaMoldovaUnited States
In The Last Decade
Ying Feng
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 682
- Plant Science 257
- Oncology 227
- Endocrinology, Diabetes and Metabolism 211
- Surgery 150
Countries citing papers authored by Ying Feng
This map shows the geographic impact of Ying Feng'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 Ying Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Feng more than expected).
Fields of papers citing papers by Ying Feng
This network shows the impact of papers produced by Ying Feng. 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 Ying Feng. The network helps show where Ying Feng may publish in the future.
Co-authorship network of co-authors of Ying Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Feng. A scholar is included among the top collaborators of Ying Feng 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 Ying Feng. Ying Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 38 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 38 | |
| 13 | 39 | |
| 14 | 39 | |
| 15 | 103 | |
| 16 | 13 | |
| 17 | Seed Morphology of Calligonum Sect. Eucalligonum (Polygonaceae) in Xinjiang and Its Taxonomic Significance | 1 |
| 18 | Ecological investigation and restoration strategies of spring- and autumn pastures in Yili River valley | 3 |
| 19 | 15 | |
| 20 | Study on the Diversity of Steppe Types in the Middle Section of Northern Slope of the Tianshan Mountain | 1 |
About Ying Feng
Ying Feng is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Plant and Fungal Species Descriptions (7 papers) and Pharmacological Effects of Natural Compounds (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (211 citations), Molecular Biology (682 citations) and Oncology (227 citations). Ying Feng has collaborated with scholars based in China, Moldova and United States. Frequent co-authors include Ying Leng, Mengmeng Ning, Jianhua Shen, Suling Huang, Zhiqin Xie, Yuanming Cheng, Wenwu Wu, Yangliang Ye, Yu Shen and Hongliang Duan. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.