Zhaoming Wang
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Oncology top 10%
- Cancer Research top 10%
- Genetics top 10%
- Co-authors
- Leslie L. RobisonJinghui ZhangMelissa M. HudsonStephen J. ChanockGregory T. ArmstrongKirsten K. NessCarmen L. WilsonGilles Thomas
- Topics
- Childhood Cancer Survivors' Quality of Life (34 papers)Acute Lymphoblastic Leukemia research (15 papers)Genetic Associations and Epidemiology (12 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhaoming Wang
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 497
- Pediatrics, Perinatology and Child Health 309
- Oncology 241
- Cancer Research 213
- Genetics 207
Countries citing papers authored by Zhaoming Wang
This map shows the geographic impact of Zhaoming 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 Zhaoming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoming Wang more than expected).
Fields of papers citing papers by Zhaoming Wang
This network shows the impact of papers produced by Zhaoming 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 Zhaoming Wang. The network helps show where Zhaoming Wang may publish in the future.
Co-authorship network of co-authors of Zhaoming Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoming Wang. A scholar is included among the top collaborators of Zhaoming 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 Zhaoming Wang. Zhaoming 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | Expression of hypoxia-inducible factor-1a predicts benefit from rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone in diffuse large B-cell lymphoma. | 0 |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 15 |
About Zhaoming Wang
Zhaoming Wang is a scholar working on Pediatrics, Perinatology and Child Health, Geriatrics and Gerontology and Genetics, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (34 papers), Acute Lymphoblastic Leukemia research (15 papers) and Genetic Associations and Epidemiology (12 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (309 citations), Cancer Research (213 citations) and Geriatrics and Gerontology (46 citations). Zhaoming Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Leslie L. Robison, Jinghui Zhang, Melissa M. Hudson, Stephen J. Chanock, Gregory T. Armstrong, Kirsten K. Ness, Carmen L. Wilson, Gilles Thomas, Robert N. Hoover and John Easton. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical 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.