Yun-long Pan
- Surgery top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Cancer Research top 10%
- Co-authors
- Jinghua PanHui DingXiaoxu ZhaoHong ZhouCunchuan WangHening ZhaiWah YangHuang Jin-lian
- Topics
- Cancer Immunotherapy and Biomarkers (6 papers)Ferroptosis and cancer prognosis (6 papers)Bariatric Surgery and Outcomes (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerFrontiers in Immunology
- Partner nations
- ChinaUnited States
In The Last Decade
Yun-long Pan
31 papers receiving 988 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Surgery 398
- Molecular Biology 329
- Pulmonary and Respiratory Medicine 297
- Oncology 222
- Cancer Research 218
Countries citing papers authored by Yun-long Pan
This map shows the geographic impact of Yun-long Pan'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 Yun-long Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-long Pan more than expected).
Fields of papers citing papers by Yun-long Pan
This network shows the impact of papers produced by Yun-long Pan. 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 Yun-long Pan. The network helps show where Yun-long Pan may publish in the future.
Co-authorship network of co-authors of Yun-long Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-long Pan. A scholar is included among the top collaborators of Yun-long Pan 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 Yun-long Pan. Yun-long Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 75 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 35 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 46 | |
| 12 | 7 | |
| 13 | Overexpression of HOXC6 promotes cell proliferation and migration via MAPK signaling and predicts a poor prognosis in glioblastoma | 3 |
| 14 | 20 | |
| 15 | 59 | |
| 16 | 85 | |
| 17 | 36 | |
| 18 | 133 | |
| 19 | 7 | |
| 20 | Mechanism of Phlegm Syndrome from Pathological Changes of Mucus-Like Materials | 3 |
About Yun-long Pan
Yun-long Pan is a scholar working on Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 997 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Ferroptosis and cancer prognosis (6 papers) and Bariatric Surgery and Outcomes (5 papers). The work is most often cited by research in Cancer Research (218 citations), Anesthesiology and Pain Medicine (57 citations) and Endocrinology, Diabetes and Metabolism (162 citations). Yun-long Pan has collaborated with scholars based in China and United States. Frequent co-authors include Jinghua Pan, Hui Ding, Xiaoxu Zhao, Hong Zhou, Cunchuan Wang, Hening Zhai, Wah Yang, Huang Jin-lian, Laura Cooper and Lijun Rong. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Frontiers in Immunology.
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.