Chun Feng
- Pulmonary and Respiratory Medicine
- Oncology
- Surgery
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jeanne M. HorowitzPaul NikolaidisFrank H. MillerNancy A. HammondCecil G. WoodDavid D. CasalinoCarla HarmathRebecca Arbuckle
- Topics
- Medical Imaging Techniques and Applications (3 papers)Multiple Myeloma Research and Treatments (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodAnnals of Surgery
- Partner nations
- United StatesChinaSpain
In The Last Decade
Chun Feng
19 papers receiving 297 citations
Peers
Comparison fields: 5 of 64
- Pulmonary and Respiratory Medicine 98
- Oncology 79
- Surgery 74
- Molecular Biology 64
- Radiology, Nuclear Medicine and Imaging 42
Countries citing papers authored by Chun Feng
This map shows the geographic impact of Chun 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 Chun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Feng more than expected).
Fields of papers citing papers by Chun Feng
This network shows the impact of papers produced by Chun 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 Chun Feng. The network helps show where Chun Feng may publish in the future.
Co-authorship network of co-authors of Chun Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Chun Feng. A scholar is included among the top collaborators of Chun 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 Chun Feng. Chun 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 | 1 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 22 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 79 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | Disparities in outpatient antidepressant prescribing patterns and determinants of resource utilization at a tertiary care cancer center. | 14 |
| 19 | 19 | |
| 20 | [STR polymorphisms in five Chinese ethnic groups(2)]. | 7 |
About Chun Feng
Chun Feng is a scholar working on Geriatrics and Gerontology, Family Practice and Anesthesiology and Pain Medicine, having authored 20 papers that have together received 304 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (38 citations), Pulmonary and Respiratory Medicine (98 citations) and Genetics (31 citations). Chun Feng has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Jeanne M. Horowitz, Paul Nikolaidis, Frank H. Miller, Nancy A. Hammond, Cecil G. Wood, David D. Casalino, Carla Harmath, Rebecca Arbuckle, Vahid Yaghmai and Lincy S. Lal. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Annals of Surgery.
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.