Feng Yin
- Molecular Biology
- Cellular and Molecular Neuroscience
- Pathology and Forensic Medicine
- Radiology, Nuclear Medicine and Imaging
- Nutrition and Dietetics top 10%
- Co-authors
- Lyn B. JakemanHoward SprecherQi ChenRobin WhiteEllen M. AndrewsMariano S. ViapianoRamesh NarayananDuane D. Miller
- Topics
- HER2/EGFR in Cancer Research (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Feng Yin
28 papers receiving 562 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 181
- Cellular and Molecular Neuroscience 119
- Pathology and Forensic Medicine 101
- Radiology, Nuclear Medicine and Imaging 87
- Nutrition and Dietetics 86
Countries citing papers authored by Feng Yin
This map shows the geographic impact of Feng Yin'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 Feng Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yin more than expected).
Fields of papers citing papers by Feng Yin
This network shows the impact of papers produced by Feng Yin. 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 Feng Yin. The network helps show where Feng Yin may publish in the future.
Co-authorship network of co-authors of Feng Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yin. A scholar is included among the top collaborators of Feng Yin 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 Feng Yin. Feng Yin 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 | 4 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 102 | |
| 11 | 4 | |
| 12 | Ultrasonic Extraction and Composition Identification of Saponins from Aralia continentalis Leaves | 1 |
| 13 | 18 | |
| 14 | Correlation between T lymphocyte subsets in peripheral blood lymphocytes and 2-year all-cause mortality in an apparently healthy elderly Chinese cohort. | 3 |
| 15 | Epidemiologic status and influencing factors of obesity in children and adolescents | 4 |
| 16 | 89 | |
| 17 | 1 | |
| 18 | 26 | |
| 19 | 58 | |
| 20 | 11 |
About Feng Yin
Feng Yin is a scholar working on Immunology and Allergy, Clinical Biochemistry and Genetics, having authored 29 papers that have together received 576 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Biochemistry (65 citations) and Cellular and Molecular Neuroscience (119 citations). Feng Yin has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Lyn B. Jakeman, Howard Sprecher, Qi Chen, Robin White, Ellen M. Andrews, Mariano S. Viapiano, Ramesh Narayanan, Duane D. Miller, Zhongzhi Wu and Christina M. Barrett. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Experimental Neurology.
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.