Shengling Fu
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Inflammatory Biomarkers in Disease Prognosis
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 20
- Cytokine Signaling Pathways and Interactions 12
- Cancer-related Molecular Pathways 4
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- Lung Cancer Diagnosis and Treatment 7
- Lung Cancer Treatments and Mutations 5
- Tracheal and airway disorders 3
- Co-authors
- Jiayuh Lin (8 shared papers)Xiangning Fu (17 shared papers)Yixin Cai (12 shared papers)Ni Zhang (2 shared papers)Yi Gao (1 shared paper)Lequn Li (2 shared papers)Xiang Chen (4 shared papers)Hui‐Wen Lo (3 shared papers)
- Journals
- Oncotarget (3 papers)Scientific Reports (2 papers)Oncology Reports (2 papers)Tumor Biology (2 papers)BMC Surgery (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Shengling Fu
36 papers receiving 740 citations
Peers
Comparison fields: 5 of 76
- Oncology 403
- Cancer Research 158
- Immunology 155
- Pulmonary and Respiratory Medicine 195
- Molecular Biology 272
Countries citing papers authored by Shengling Fu
This map shows the geographic impact of Shengling 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 Shengling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengling Fu more than expected).
Fields of papers citing papers by Shengling Fu
This network shows the impact of papers produced by Shengling 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 Shengling Fu. The network helps show where Shengling Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengling 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2016 | 67 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2014 | 45 | |
| 6 | 2013 | 42 | |
| 7 | 2018 | 38 | |
| 8 | 2017 | 30 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2014 | 11 | |
| 17 | 2014 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2016 | 8 |
About Shengling Fu
Shengling Fu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Cancer Research, having authored 37 papers that have together received 746 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (12 papers), Lung Cancer Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer-related Molecular Pathways (4 papers), Estrogen and related hormone effects (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Oncology (403 citations), Cancer Research (158 citations), Immunology (155 citations), Pulmonary and Respiratory Medicine (195 citations) and Molecular Biology (272 citations). Shengling Fu has collaborated with scholars based in China and United States. Frequent co-authors include Jiayuh Lin, Xiangning Fu, Yixin Cai, Ni Zhang, Yi Gao, Lequn Li, Xiang Chen, Hui‐Wen Lo, Yongde Liao and Huey‐Jen Lin. Their work appears in journals such as Oncotarget, Scientific Reports, Oncology Reports, Tumor Biology and BMC Surgery.
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.