Xinping Fu
Impact in
Papers in
- Genetics 23
- Virus-based gene therapy research 23
-
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 3
- Co-authors
- Xiaoliu Zhang (29 shared papers)Lihua Tao (20 shared papers)Armando Rivera (8 shared papers)Hongtao Li (3 shared papers)Mikihito Nakamori (4 shared papers)Zihua Zeng (3 shared papers)Richard G. Vile (1 shared paper)Malcolm K. Brenner (1 shared paper)
- Journals
- Molecular Therapy (5 papers)Oncotarget (3 papers)Journal of Virology (2 papers)Clinical Cancer Research (2 papers)Cell Biochemistry and Biophysics (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Xinping Fu
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 53
- Genetics 663
- Oncology 438
- Infectious Diseases 187
- Animal Science and Zoology 84
- Immunology 156
Countries citing papers authored by Xinping Fu
This map shows the geographic impact of Xinping Fu'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 Xinping Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinping Fu more than expected).
Fields of papers citing papers by Xinping Fu
This network shows the impact of papers produced by Xinping Fu. 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 Xinping Fu. The network helps show where Xinping Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinping Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 101 | |
| 2 | 2003 | 89 | |
| 3 | 2010 | 65 | |
| 4 | Potent systemic antitumor activity from an oncolytic herpes simplex virus of syncytial phenotype. | 2002 | 62 |
| 5 | 2011 | 56 | |
| 6 | 2007 | 55 | |
| 7 | Effective therapy of metastatic ovarian cancer with an oncolytic herpes simplex virus incorporating two membrane fusion mechanisms. | 2003 | 55 |
| 8 | 2013 | 54 | |
| 9 | 2004 | 50 | |
| 10 | 2006 | 49 | |
| 11 | 2007 | 47 | |
| 12 | 2007 | 46 | |
| 13 | 2004 | 40 | |
| 14 | 2006 | 35 | |
| 15 | 2010 | 29 | |
| 16 | 2014 | 29 | |
| 17 | 2007 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2020 | 16 |
About Xinping Fu
Xinping Fu is a scholar working on Genetics, Molecular Biology, Epidemiology, Oncology and Infectious Diseases, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Herpesvirus Infections and Treatments (12 papers), CAR-T cell therapy research (10 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Immunotherapy and Immune Responses (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (663 citations), Oncology (438 citations), Infectious Diseases (187 citations), Animal Science and Zoology (84 citations) and Immunology (156 citations). Xinping Fu has collaborated with scholars based in United States, France and China. Frequent co-authors include Xiaoliu Zhang, Lihua Tao, Armando Rivera, Hongtao Li, Mikihito Nakamori, Zihua Zeng, Richard G. Vile, Malcolm K. Brenner, Bart De Geest and Raphaël F. Rousseau. Their work appears in journals such as Molecular Therapy, Oncotarget, Journal of Virology, Clinical Cancer Research and Cell Biochemistry and Biophysics.
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.