Weige Wang

771 total citations
29 papers, 455 citations indexed

About

Weige Wang is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Weige Wang has authored 29 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 11 papers in Genetics. Recurrent topics in Weige Wang's work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (11 papers) and CAR-T cell therapy research (3 papers). Weige Wang is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (11 papers) and CAR-T cell therapy research (3 papers). Weige Wang collaborates with scholars based in China, United States and Japan. Weige Wang's co-authors include Xiaoyan Zhou, Xiaoyan Zhou, Zebing Liu, Jimmy Lee, Rui Bi, Ping Wei, Y. Lynn Wang, Weiqi Sheng, Mei Ming and Pin Lu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Weige Wang

28 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weige Wang China 14 198 187 161 140 80 29 455
Brigitte Wollert‐Wulf Germany 7 213 1.1× 209 1.1× 169 1.0× 118 0.8× 149 1.9× 9 538
Carmen P. Montano‐Almendras Belgium 6 244 1.2× 97 0.5× 206 1.3× 169 1.2× 47 0.6× 7 435
Alberto J. Arribas Switzerland 11 220 1.1× 185 1.0× 133 0.8× 136 1.0× 91 1.1× 50 430
Eva Maria Murga Penas Germany 14 239 1.2× 182 1.0× 247 1.5× 196 1.4× 111 1.4× 31 550
Maite Cazorla Spain 10 231 1.2× 259 1.4× 324 2.0× 138 1.0× 59 0.7× 12 558
Marie Cornic France 13 301 1.5× 133 0.7× 256 1.6× 101 0.7× 87 1.1× 24 548
Verena Brune Germany 6 337 1.7× 176 0.9× 238 1.5× 90 0.6× 181 2.3× 7 538
Claire Villalva France 15 153 0.8× 246 1.3× 289 1.8× 126 0.9× 48 0.6× 20 601
Iwona Wlodarska Belgium 11 250 1.3× 96 0.5× 137 0.9× 233 1.7× 113 1.4× 14 441
T Flores Spain 9 126 0.6× 232 1.2× 228 1.4× 112 0.8× 50 0.6× 21 570

Countries citing papers authored by Weige Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Weige Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weige Wang. A scholar is included among the top collaborators of Weige 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 Weige Wang. Weige Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Keshu, Jie Jin, Zhiming Li, et al.. (2025). Preliminary safety and efficacy data of ICP-248, a novel BCL2 inhibitor, in patients with relapsed or refractory B-cell malignancies.. Journal of Clinical Oncology. 43(16_suppl). 7038–7038. 1 indexed citations
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Wang, Weige, Qinghua Xu, Xiaoyan Zhou, et al.. (2020). Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma by Using a qPCR-based Gene Expression Assay on Formalin-Fixed Paraffin-Embedded Tissues. Frontiers in Oncology. 10. 803–803. 9 indexed citations
6.
Yang, Haiyan, Bing Xiang, Yuqin Song, et al.. (2020). Zanubrutinib monotherapy for patients with relapsed or refractory non-germinal center diffuse large B-cell lymphoma: Results from a phase II, single-arm, multicenter, study.. Journal of Clinical Oncology. 38(15_suppl). e20051–e20051. 3 indexed citations
7.
Wang, Weige, et al.. (2019). PD-L1 over-expression is driven by B-cell receptor signaling in diffuse large B-cell lymphoma. Laboratory Investigation. 99(10). 1418–1427. 9 indexed citations
8.
Ming, Mei, Wenjun Wu, Bingqing Xie, et al.. (2018). XPO1 Inhibitor Selinexor Overcomes Intrinsic Ibrutinib Resistance in Mantle Cell Lymphoma via Nuclear Retention of IκB. Molecular Cancer Therapeutics. 17(12). 2564–2574. 36 indexed citations
9.
Jia, Yijun, Weige Wang, Rui Bi, et al.. (2018). Integrative analysis of PD‐L1 DNA status, mRNA status and protein status, and their clinicopathological correlation, in diffuse large B‐cell lymphoma. Histopathology. 74(4). 618–628. 15 indexed citations
10.
Wang, Y. Lynn, Mei Ming, Bingqing Xie, et al.. (2017). XPO1 Inhibitor Selinexor Overcomes Ibrutinib Resistance in Mantle Cell Lymphoma Via Nuclear Retention of IκB. Blood. 130. 3837–3837. 1 indexed citations
11.
Cui, Wenli, Shutao Zheng, Zebing Liu, et al.. (2017). PIK3CA expression in diffuse large B cell lymphoma tissue and the effect of its knockdown in vitro. OncoTargets and Therapy. Volume 10. 2239–2247. 10 indexed citations
12.
Jia, Yijun, et al.. (2017). Primary breast diffuse large B-cell lymphoma: a population-based study from 1975 to 2014. Oncotarget. 9(3). 3956–3967. 19 indexed citations
13.
Wang, Weige, et al.. (2017). MYC protein dysregulation is driven by BCR‐PI3K signalling in diffuse large B‐cell lymphoma. Histopathology. 71(5). 778–785. 15 indexed citations
14.
Wang, Lei, Cong Tan, Fan Qiao, et al.. (2015). Upregulated expression of DIXDC1 in intestinal-type gastric carcinoma: co-localization with β-catenin and correlation with poor prognosis. Cancer Cell International. 15(1). 120–120. 13 indexed citations
15.
Wang, Yanchun, Zhongguang Luo, Yongfu Pan, et al.. (2015). Targeting protein neddylation with an NEDD8-activating enzyme inhibitor MLN4924 induced apoptosis or senescence in human lymphoma cells. Cancer Biology & Therapy. 16(3). 420–429. 46 indexed citations
16.
Wang, Weige, et al.. (2014). [Grey zone lymphoma with features intermediate between diffuse large B-cell lymphoma and classical Hodgkin lymphoma: clinicopathologic characterization of 16 cases showing different patterns].. PubMed. 43(5). 307–12. 2 indexed citations
17.
Fen, Zhu, Weige Wang, Yingyong Hou, et al.. (2014). MAML2 Rearrangement in Primary Pulmonary Mucoepidermoid Carcinoma and the Correlation with FLT1 Expression. PLoS ONE. 9(4). e94399–e94399. 21 indexed citations
18.
Cui, Wenli, Ying Cai, Weige Wang, et al.. (2014). Frequent copy number variations of PI3K/AKT pathway and aberrant protein expressions of PI3K subunits are associated with inferior survival in diffuse large B cell lymphoma. Journal of Translational Medicine. 12(1). 10–10. 39 indexed citations
19.
Wang, Weige, et al.. (2013). The spectrum of primary mucosal CD30-positive T-cell lymphoproliferative disorders of the head and neck. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 117(1). 96–104. 17 indexed citations
20.
Li, Shenglong, Weige Wang, Jie Wu, et al.. (2011). The effects of social isolation on the spatial and nonspatial cognitive ability in mice. Zhonghua xingwei yixue yu naokexue zazhi. 20(9). 793–795. 1 indexed citations

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.

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