Xiaofan Su
Impact in
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- Asthma and respiratory diseases
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Asthma and respiratory diseases 6
- Oncology 4
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Manxiang Li (9 shared papers)Yilin Pan (7 shared papers)Lu Liu (5 shared papers)Yanting Zhu (4 shared papers)Li Gao (5 shared papers)Lan Yang (4 shared papers)Yang Song (2 shared papers)Yang Song (3 shared papers)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Applied Sciences (1 paper)European Journal of Pharmacology (1 paper)BMJ Open (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaofan Su
16 papers receiving 331 citations
Peers
Comparison fields: 5 of 59
- Physiology 110
- Oncology 60
- Pulmonary and Respiratory Medicine 61
- Cancer Research 24
- Cell Biology 14
Countries citing papers authored by Xiaofan Su
This map shows the geographic impact of Xiaofan Su'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 Xiaofan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Su more than expected).
Fields of papers citing papers by Xiaofan Su
This network shows the impact of papers produced by Xiaofan Su. 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 Xiaofan Su. The network helps show where Xiaofan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofan Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2021 | 50 | |
| 3 | 2016 | 41 | |
| 4 | 2018 | 41 | |
| 5 | 2016 | 28 | |
| 6 | 2018 | 25 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2022 | 6 | |
| 12 | Association between IL-17F rs763780 polymorphism and susceptibility of asthma: a meta-analysis. | 2015 | 3 |
| 13 | 2019 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2015 | 1 |
About Xiaofan Su
Xiaofan Su is a scholar working on Physiology, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Rehabilitation, having authored 16 papers that have together received 334 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Pulmonary Hypertension Research and Treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Signaling Pathways in Disease (1 paper), Lung Cancer Treatments and Mutations (1 paper), Advanced Photocatalysis Techniques (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Physiology (110 citations), Oncology (60 citations), Pulmonary and Respiratory Medicine (61 citations), Cancer Research (24 citations) and Cell Biology (14 citations). Xiaofan Su has collaborated with scholars based in China and United States. Frequent co-authors include Manxiang Li, Yilin Pan, Lu Liu, Yanting Zhu, Li Gao, Lan Yang, Yang Song, Yang Song, Lan Yang and Longyun Chen. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Applied Sciences, European Journal of Pharmacology, BMJ Open and Frontiers in Oncology.
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.