Weige Wang
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 15
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- Xiaoyan Zhou (5 shared papers)Xiaoyan Zhou (7 shared papers)Jimmy Lee (5 shared papers)Zebing Liu (4 shared papers)Xiaoqiu Li (7 shared papers)Yijun Jia (3 shared papers)Y. Lynn Wang (4 shared papers)Rui Bi (4 shared papers)
- Journals
- Blood (3 papers)Frontiers in Oncology (2 papers)Cancer Biology & Therapy (2 papers)Oncotarget (2 papers)Blood Advances (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Weige Wang
27 papers receiving 626 citations
Peers
Comparison fields: 5 of 68
- Genetics 248
- Pathology and Forensic Medicine 287
- Hematology 72
- Oncology 161
- Immunology 121
Countries citing papers authored by Weige Wang
This map shows the geographic impact of Weige 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 Weige Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weige Wang more than expected).
Fields of papers citing papers by Weige Wang
This network shows the impact of papers produced by Weige 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 Weige Wang. The network helps show where Weige Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weige 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2016 | 77 | |
| 3 | 2015 | 48 | |
| 4 | 2018 | 43 | |
| 5 | 2014 | 40 | |
| 6 | 2018 | 34 | |
| 7 | 2015 | 30 | |
| 8 | 2017 | 24 | |
| 9 | 2014 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2015 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2019 | 10 |
About Weige Wang
Weige Wang is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Cancer Research and Neurology, having authored 28 papers that have together received 631 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Genetics (248 citations), Pathology and Forensic Medicine (287 citations), Hematology (72 citations), Oncology (161 citations) and Immunology (121 citations). Weige Wang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xiaoyan Zhou, Xiaoyan Zhou, Jimmy Lee, Zebing Liu, Xiaoqiu Li, Yijun Jia, Y. Lynn Wang, Rui Bi, Mei Ming and Pin Lu. Their work appears in journals such as Blood, Frontiers in Oncology, Cancer Biology & Therapy, Oncotarget and Blood Advances.
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.