Weige Wang
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 14
-
- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Xiaoyan Zhou (5 shared papers)Jimmy Lee (5 shared papers)Xiaoyan Zhou (7 shared papers)Zebing Liu (4 shared papers)Xiaoqiu Li (7 shared papers)Rui Bi (4 shared papers)Y. Lynn Wang (4 shared papers)Ping Wei (3 shared papers)
- Journals
- Blood (3 papers)Journal of Clinical Oncology (3 papers)Histopathology (2 papers)Cancer Biology & Therapy (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weige Wang
28 papers receiving 468 citations
Peers
Comparison fields: 5 of 67
- Genetics 128
- Pathology and Forensic Medicine 177
- Oncology 133
- Cancer Research 63
- Hematology 41
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2015 | 46 | |
| 3 | 2014 | 39 | |
| 4 | 2018 | 38 | |
| 5 | 2018 | 32 | |
| 6 | 2015 | 29 | |
| 7 | 2014 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2013 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2015 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2010 | 8 |
About Weige Wang
Weige Wang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Oncology and Immunology, having authored 29 papers that have together received 471 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (9 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (128 citations), Pathology and Forensic Medicine (177 citations), Oncology (133 citations), Cancer Research (63 citations) and Hematology (41 citations). Weige Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoyan Zhou, Jimmy Lee, Xiaoyan Zhou, Zebing Liu, Xiaoqiu Li, Rui Bi, Y. Lynn Wang, Ping Wei, Weiqi Sheng and Mei Ming. Their work appears in journals such as Blood, Journal of Clinical Oncology, Histopathology, Cancer Biology & Therapy and Oncotarget.
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.