Hong Feng
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Plant Science top 5%
- Epidemiology top 5%
- Co-authors
- Bin GaoSvetlana RadaevaHongna PanRui SunBarbara JarugaZhigang TianOsama N. El‐AssalVan-Anh Nguyen
- Topics
- Enzyme Production and Characterization (16 papers)Cytokine Signaling Pathways and Interactions (10 papers)Immune Cell Function and Interaction (10 papers)
- Cited by
- ImmunologyHepatologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hong Feng
163 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.8k
- Immunology 1.5k
- Oncology 842
- Plant Science 733
- Epidemiology 706
Countries citing papers authored by Hong Feng
This map shows the geographic impact of Hong 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 Hong Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Feng more than expected).
Fields of papers citing papers by Hong Feng
This network shows the impact of papers produced by Hong 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 Hong Feng. The network helps show where Hong Feng may publish in the future.
Co-authorship network of co-authors of Hong Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Feng. A scholar is included among the top collaborators of Hong 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 Hong Feng. Hong 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 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 7 | |
| 12 | 114 | |
| 13 | 57 | |
| 14 | 11 | |
| 15 | Screening of Microsatellite Markers in Bactrocera minax (Diptera: Tephritidae) | 5 |
| 16 | Fermentation potentials of Zymomonas mobilis and its application in ethanol production from low-cost raw sweet potato. | 27 |
| 17 | Direct production of ethanol from raw sweet potato starch using genetically engineered Zymomonas mobilis | 16 |
| 18 | 31 | |
| 19 | 407 | |
| 20 | 114 |
About Hong Feng
Hong Feng is a scholar working on Biotechnology, Molecular Biology and Immunology, having authored 168 papers that have together received 4.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (16 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Immunology (1.5k citations), Hepatology (522 citations) and Biotechnology (312 citations). Hong Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Gao, Svetlana Radaeva, Hongna Pan, Rui Sun, Barbara Jaruga, Zhigang Tian, Osama N. El‐Assal, Van-Anh Nguyen, Jarosław Baran and Daniel J. Allendorf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.