Guan Wang
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 21
- Genetics 5
- Mesenchymal stem cell research 4
- Co-authors
- Yubin Ge (29 shared papers)Holly J. Edwards (27 shared papers)Jeffrey Warren Taub (24 shared papers)Hai Lin (13 shared papers)Jun Ma (8 shared papers)Jianyun Zhao (8 shared papers)J. Timothy Caldwell (5 shared papers)Chengzhi Xie (5 shared papers)
- Journals
- Oncotarget (3 papers)Biochemical Pharmacology (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Free Radical Research (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guan Wang
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 84
- Hematology 507
- Genetics 115
- Cancer Research 129
- Molecular Biology 496
- Oncology 148
Countries citing papers authored by Guan Wang
This map shows the geographic impact of Guan 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 Guan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan Wang more than expected).
Fields of papers citing papers by Guan Wang
This network shows the impact of papers produced by Guan 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 Guan Wang. The network helps show where Guan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 203 | |
| 2 | 2019 | 136 | |
| 3 | 2015 | 114 | |
| 4 | 2013 | 85 | |
| 5 | 2019 | 56 | |
| 6 | 2017 | 50 | |
| 7 | 2021 | 48 | |
| 8 | 2012 | 44 | |
| 9 | 2013 | 44 | |
| 10 | 2016 | 44 | |
| 11 | 2017 | 44 | |
| 12 | 2020 | 44 | |
| 13 | 2020 | 38 | |
| 14 | 2013 | 37 | |
| 15 | 2020 | 36 | |
| 16 | 2014 | 33 | |
| 17 | 2016 | 33 | |
| 18 | 2016 | 33 | |
| 19 | 2021 | 31 | |
| 20 | 2021 | 29 |
About Guan Wang
Guan Wang is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Aging, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Cell death mechanisms and regulation (7 papers), Pancreatic and Hepatic Oncology Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Mesenchymal stem cell research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Synthesis and biological activity (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Hematology (507 citations), Genetics (115 citations), Cancer Research (129 citations), Molecular Biology (496 citations) and Oncology (148 citations). Guan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yubin Ge, Holly J. Edwards, Jeffrey Warren Taub, Hai Lin, Jun Ma, Jianyun Zhao, J. Timothy Caldwell, Chengzhi Xie, Xiaojia Niu and Xinyu Li. Their work appears in journals such as Oncotarget, Biochemical Pharmacology, Journal of Cellular and Molecular Medicine, Free Radical Research and Cancer Letters.
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.