Xiaogang Li
- Molecular Biology
- Cancer Research top 10%
- Oncology top 10%
- Epidemiology
- Surgery
- Co-authors
- Zhiqiang LiuShanmiao GouZhun YanJianping XuChunyou WangXinyu TanYe ZengTong Li
- Topics
- Cancer-related molecular mechanisms research (8 papers)Pancreatic and Hepatic Oncology Research (6 papers)RNA modifications and cancer (6 papers)
- Cited by
- Cancer ResearchGeneticsOncology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaogang Li
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 499
- Cancer Research 298
- Oncology 242
- Epidemiology 217
- Surgery 204
Countries citing papers authored by Xiaogang Li
This map shows the geographic impact of Xiaogang Li'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 Xiaogang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogang Li more than expected).
Fields of papers citing papers by Xiaogang Li
This network shows the impact of papers produced by Xiaogang Li. 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 Xiaogang Li. The network helps show where Xiaogang Li may publish in the future.
Co-authorship network of co-authors of Xiaogang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Li. A scholar is included among the top collaborators of Xiaogang Li 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 Xiaogang Li. Xiaogang Li 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | Long non-coding RNA SNHG7 promotes migration and invasion of melanoma via upregulating SOX4 | 6 |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 67 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | Correlation of E-selectin gene polymorphisms with risk of ischemic stroke: A meta-analysis | 7 |
| 17 | Intravenous thrombolysis for acute ischemic stroke. | 1 |
| 18 | 75 | |
| 19 | 1 | |
| 20 | Expression of X-linked inhibitor of apoptosis in pancreatic carcinoma tissues and its relationship to chemoresistance | 1 |
About Xiaogang Li
Xiaogang Li is a scholar working on Cancer Research, Oncology and Genetics, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Pancreatic and Hepatic Oncology Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (298 citations), Genetics (131 citations) and Oncology (242 citations). Xiaogang Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiqiang Liu, Shanmiao Gou, Zhun Yan, Jianping Xu, Chunyou Wang, Xinyu Tan, Ye Zeng, Tong Li, Ashok R. Asthagiri and Leor Zach. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.