Sha Fu
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
Papers in
- Oncology 25
- Cancer Immunotherapy and Biomarkers 19
- Viral-associated cancers and disorders 4
-
- Lung Cancer Treatments and Mutations 11
- Lung Cancer Diagnosis and Treatment 6
- Co-authors
- Shaodong Hong (22 shared papers)Wenfeng Fang (11 shared papers)Yan Huang (8 shared papers)Haiyun Wang (10 shared papers)Li Zhang (6 shared papers)Jian‐Yong Shao (11 shared papers)Yixin Zhou (18 shared papers)Fangfang Gao (1 shared paper)
- Journals
- Lung Cancer (6 papers)Frontiers in Immunology (5 papers)BMC Nephrology (3 papers)Nephrology Dialysis Transplantation (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sha Fu
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Otorhinolaryngology 139
- Oncology 374
- Cancer Research 191
- Pulmonary and Respiratory Medicine 409
- Nephrology 125
Countries citing papers authored by Sha Fu
This map shows the geographic impact of Sha 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 Sha Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Fu more than expected).
Fields of papers citing papers by Sha Fu
This network shows the impact of papers produced by Sha 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 Sha Fu. The network helps show where Sha Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 156 | |
| 2 | 2014 | 111 | |
| 3 | 2016 | 98 | |
| 4 | 2018 | 88 | |
| 5 | 2019 | 87 | |
| 6 | 2024 | 66 | |
| 7 | 2014 | 56 | |
| 8 | 2018 | 55 | |
| 9 | 2014 | 47 | |
| 10 | 2021 | 44 | |
| 11 | 2020 | 43 | |
| 12 | 2022 | 43 | |
| 13 | 2018 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2024 | 37 | |
| 16 | 2023 | 33 | |
| 17 | 2018 | 32 | |
| 18 | 2021 | 32 | |
| 19 | 2014 | 30 | |
| 20 | 2015 | 29 |
About Sha Fu
Sha Fu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Nephrology, Otorhinolaryngology and Cancer Research, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (19 papers), Lung Cancer Treatments and Mutations (11 papers), Head and Neck Cancer Studies (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (4 papers), MicroRNA in disease regulation (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Otorhinolaryngology (139 citations), Oncology (374 citations), Cancer Research (191 citations), Pulmonary and Respiratory Medicine (409 citations) and Nephrology (125 citations). Sha Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaodong Hong, Wenfeng Fang, Yan Huang, Haiyun Wang, Li Zhang, Jian‐Yong Shao, Yixin Zhou, Fangfang Gao, Shuhan Sun and Jian Zhang. Their work appears in journals such as Lung Cancer, Frontiers in Immunology, BMC Nephrology, Nephrology Dialysis Transplantation and PLoS ONE.
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.