Xiaolong Fu
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Yongliang ZhaoPei-wu YuFangyuan MaoGuoliang JiangYong‐sheng TengYuan ZhuangQuanming ZouLiu‐sheng Peng
- Topics
- Lung Cancer Diagnosis and Treatment (24 papers)Lung Cancer Treatments and Mutations (16 papers)Esophageal Cancer Research and Treatment (14 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaCancer
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolong Fu
76 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Pulmonary and Respiratory Medicine 647
- Oncology 553
- Immunology 456
- Molecular Biology 334
- Surgery 321
Countries citing papers authored by Xiaolong Fu
This map shows the geographic impact of Xiaolong 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 Xiaolong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Fu more than expected).
Fields of papers citing papers by Xiaolong Fu
This network shows the impact of papers produced by Xiaolong 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 Xiaolong Fu. The network helps show where Xiaolong Fu may publish in the future.
Co-authorship network of co-authors of Xiaolong Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Fu. A scholar is included among the top collaborators of Xiaolong Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaolong Fu. Xiaolong Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Serum NSE is Early Marker of Transformed Neuroendocrine Tumor After EGFR-TKI Treatment of Lung Adenocarcinoma | 3 |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | Tumour-activated neutrophils in gastric cancer foster immune suppression and disease progression through GM-CSF-PD-L1 pathwaybreakdown → | 384 |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 26 | |
| 18 | 14 | |
| 19 | 54 | |
| 20 | 26 |
About Xiaolong Fu
Xiaolong Fu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiation, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (24 papers), Lung Cancer Treatments and Mutations (16 papers) and Esophageal Cancer Research and Treatment (14 papers). The work is most often cited by research in Immunology (456 citations), Oncology (553 citations) and Pulmonary and Respiratory Medicine (647 citations). Xiaolong Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongliang Zhao, Pei-wu Yu, Fangyuan Mao, Guoliang Jiang, Yong‐sheng Teng, Yuan Zhuang, Quanming Zou, Liu‐sheng Peng, Wei Duan and Ping Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer.
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.