Fei-Hua Qiu
- Molecular Biology
- Immunology top 5%
- Hematology top 5%
- Immunology and Allergy top 2%
- Oncology
- Co-authors
- Peter BesmerKate BrownP E BarkerPartha RayF.H. RuddleSC JhanwarPeter J. BergoldWilliam D. Hardy
- Topics
- Glycosylation and Glycoproteins Research (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Virus-based gene therapy research (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Fei-Hua Qiu
13 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 685
- Immunology 607
- Hematology 256
- Immunology and Allergy 213
- Oncology 200
Countries citing papers authored by Fei-Hua Qiu
This map shows the geographic impact of Fei-Hua Qiu'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 Fei-Hua Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei-Hua Qiu more than expected).
Fields of papers citing papers by Fei-Hua Qiu
This network shows the impact of papers produced by Fei-Hua Qiu. 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 Fei-Hua Qiu. The network helps show where Fei-Hua Qiu may publish in the future.
Co-authorship network of co-authors of Fei-Hua Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Fei-Hua Qiu. A scholar is included among the top collaborators of Fei-Hua Qiu 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 Fei-Hua Qiu. Fei-Hua Qiu 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 | 4 | |
| 3 | 9 | |
| 4 | 67 | |
| 5 | 6 | |
| 6 | [Correlation of c-myc gene amplification, MTS1/p16 gene alternation, and HBV infection in human hepatocellular carcinoma]. | 1 |
| 7 | 55 | |
| 8 | 42 | |
| 9 | Primary structure of c-kit: relationship with the CSF-1/PDGF receptor kinase family-oncogenic activation of v-kit involves deletion of extracellular domain and C terminus.breakdown → | 626 |
| 10 | 22 | |
| 11 | 142 | |
| 12 | A new acute transforming feline retrovirus and relationship of its oncogene v-kit with the protein kinase gene familybreakdown → | 523 |
| 13 | 41 |
About Fei-Hua Qiu
Fei-Hua Qiu is a scholar working on Toxicology, Physiology and Animal Science and Zoology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Gastroenterology (200 citations), Immunology and Allergy (213 citations) and Immunology (607 citations). Fei-Hua Qiu has collaborated with scholars based in United States, China and India. Frequent co-authors include Peter Besmer, Kate Brown, P E Barker, Partha Ray, F.H. Ruddle, SC Jhanwar, Peter J. Bergold, William D. Hardy, Evelyn E. Zuckerman and John E. Murphy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.
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.