Xue Wang
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Co-authors
- Xiangju MengMark E. CohenKristopher M. HuffmanKaren RichardsWarren B. ChowRyan P. MerkowJustin B. DimickKarl Y. Bilimoria
- Topics
- Cancer-related molecular mechanisms research (23 papers)Cancer Immunotherapy and Biomarkers (13 papers)RNA modifications and cancer (13 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xue Wang
114 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 724
- Oncology 634
- Cancer Research 484
- Pulmonary and Respiratory Medicine 399
- Surgery 383
Countries citing papers authored by Xue Wang
This map shows the geographic impact of Xue Wang'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 Xue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue Wang more than expected).
Fields of papers citing papers by Xue Wang
This network shows the impact of papers produced by Xue Wang. 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 Xue Wang. The network helps show where Xue Wang may publish in the future.
Co-authorship network of co-authors of Xue Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xue Wang. A scholar is included among the top collaborators of Xue Wang 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 Xue Wang. Xue Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 35 | |
| 14 | 14 | |
| 15 | 11 | |
| 16 | 37 | |
| 17 | 11 | |
| 18 | 23 | |
| 19 | 56 | |
| 20 | Peripheral blood absolute lymphocyte count, absolute monocyte count and their ratio in prognosis prediction of newly diagnosed multiple myeloma | 1 |
About Xue Wang
Xue Wang is a scholar working on Cancer Research, Oncology and Acoustics and Ultrasonics, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), Cancer Immunotherapy and Biomarkers (13 papers) and RNA modifications and cancer (13 papers). The work is most often cited by research in Cancer Research (484 citations), Oncology (634 citations) and Cardiology and Cardiovascular Medicine (314 citations). Xue Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiangju Meng, Mark E. Cohen, Kristopher M. Huffman, Karen Richards, Warren B. Chow, Ryan P. Merkow, Justin B. Dimick, Karl Y. Bilimoria, Lynn Zhou and Clifford Y. Ko. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.