Fusheng Si
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 22
- SARS-CoV-2 and COVID-19 Research 4
-
- Animal Virus Infections Studies 12
- Co-authors
- Guangyong Peng (9 shared papers)Daniel F. Hoft (4 shared papers)Aiqin Gao (4 shared papers)Xia Liu (6 shared papers)Ruisong Yu (19 shared papers)Eddy C. Hsueh (4 shared papers)Yangjing Zhao (4 shared papers)Zhen Li (15 shared papers)
- Journals
- Viruses (4 papers)Veterinary Microbiology (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)iScience (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Fusheng Si
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Immunology 414
- Animal Science and Zoology 177
- Infectious Diseases 279
- Hepatology 113
- Cancer Research 186
Countries citing papers authored by Fusheng Si
This map shows the geographic impact of Fusheng Si'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 Fusheng Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fusheng Si more than expected).
Fields of papers citing papers by Fusheng Si
This network shows the impact of papers produced by Fusheng Si. 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 Fusheng Si. The network helps show where Fusheng Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Fusheng Si, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 200 | |
| 2 | 2018 | 189 | |
| 3 | 2021 | 68 | |
| 4 | 2022 | 64 | |
| 5 | 2018 | 61 | |
| 6 | 2020 | 61 | |
| 7 | 2021 | 52 | |
| 8 | 2015 | 50 | |
| 9 | 2020 | 39 | |
| 10 | 2021 | 39 | |
| 11 | 2022 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2023 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2008 | 14 | |
| 19 | 2011 | 12 | |
| 20 | 2022 | 12 |
About Fusheng Si
Fusheng Si is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Hepatology and Immunology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (22 papers), Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (9 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), Veterinary medicine and infectious diseases (5 papers), Immune Cell Function and Interaction (5 papers), Liver Disease and Transplantation (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Immunology (414 citations), Animal Science and Zoology (177 citations), Infectious Diseases (279 citations), Hepatology (113 citations) and Cancer Research (186 citations). Fusheng Si has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Guangyong Peng, Daniel F. Hoft, Aiqin Gao, Xia Liu, Ruisong Yu, Eddy C. Hsueh, Yangjing Zhao, Zhen Li, Shijuan Dong and David A. Ford. Their work appears in journals such as Viruses, Veterinary Microbiology, Journal for ImmunoTherapy of Cancer, iScience and International Journal of Biological Macromolecules.
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.