Weili Wang
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Angiogenesis and VEGF in Cancer 2
-
- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Weiping Yuan (12 shared papers)Tao Cheng (12 shared papers)Zhuan Li (3 shared papers)Bing Liu (3 shared papers)Yanli Ni (2 shared papers)Jie Zhou (2 shared papers)Xiaohuan Mu (2 shared papers)Wenyan He (2 shared papers)
- Journals
- Blood (3 papers)Scientific Reports (1 paper)Marine Drugs (1 paper)Journal of Hematology & Oncology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Weili Wang
22 papers receiving 663 citations
Peers
Comparison fields: 5 of 75
- Hematology 149
- Cell Biology 181
- Immunology 140
- Molecular Biology 432
- Cancer Research 62
Countries citing papers authored by Weili Wang
This map shows the geographic impact of Weili 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 Weili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili Wang more than expected).
Fields of papers citing papers by Weili Wang
This network shows the impact of papers produced by Weili 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 Weili Wang. The network helps show where Weili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weili 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 266 | |
| 2 | 2015 | 64 | |
| 3 | 2017 | 62 | |
| 4 | 2019 | 45 | |
| 5 | 2022 | 31 | |
| 6 | 2014 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2016 | 26 | |
| 9 | 2001 | 25 | |
| 10 | 2014 | 21 | |
| 11 | 2015 | 14 | |
| 12 | 2017 | 11 | |
| 13 | 2013 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2010 | 5 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 2 |
About Weili Wang
Weili Wang is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Nephrology, having authored 27 papers that have together received 667 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Zebrafish Biomedical Research Applications (3 papers), Immune Cell Function and Interaction (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Hematology (149 citations), Cell Biology (181 citations), Immunology (140 citations), Molecular Biology (432 citations) and Cancer Research (62 citations). Weili Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Weiping Yuan, Tao Cheng, Zhuan Li, Bing Liu, Yanli Ni, Jie Zhou, Xiaohuan Mu, Wenyan He, Yu Lan and Fuchou Tang. Their work appears in journals such as Blood, Scientific Reports, Marine Drugs, Journal of Hematology & Oncology and Biochemical and Biophysical Research Communications.
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.