Benxia Zhang

1.0k total citations · 1 hit paper
10 papers, 696 citations indexed

About

Benxia Zhang is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benxia Zhang has authored 10 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benxia Zhang's work include CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immune Cell Function and Interaction (3 papers). Benxia Zhang is often cited by papers focused on CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immune Cell Function and Interaction (3 papers). Benxia Zhang collaborates with scholars based in China. Benxia Zhang's co-authors include Qizhi Ma, Yongsheng Wang, Pei Shu, Kai Li, Yue Chen, Dan Li, Xuejin Ou, Houhui Shi, Wei‐Ting Liao and Yue Chen and has published in prestigious journals such as Cancer Research, Cell Death and Differentiation and Molecular Therapy.

In The Last Decade

Benxia Zhang

9 papers receiving 685 citations

Hit Papers

Myeloid-derived suppressor cells as immunosuppressive reg... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benxia Zhang China 6 400 364 184 105 86 10 696
Qizhi Ma China 8 421 1.1× 395 1.1× 224 1.2× 115 1.1× 96 1.1× 17 753
Ihor Arkhypov Germany 10 402 1.0× 286 0.8× 228 1.2× 63 0.6× 71 0.8× 11 677
Carol Cao United States 4 422 1.1× 229 0.6× 264 1.4× 78 0.7× 111 1.3× 5 668
Samantha Lasser Germany 9 427 1.1× 284 0.8× 236 1.3× 57 0.5× 75 0.9× 11 697
Saeed Farajzadeh Valilou Iran 6 309 0.8× 343 0.9× 235 1.3× 79 0.8× 55 0.6× 9 664
Brian Labadie United States 12 344 0.9× 380 1.0× 284 1.5× 121 1.2× 56 0.7× 24 769
Douglas Marvel United States 3 660 1.6× 412 1.1× 198 1.1× 60 0.6× 60 0.7× 6 836
Hannah H. Yan United States 7 377 0.9× 350 1.0× 236 1.3× 49 0.5× 42 0.5× 13 667
Laurel B. Darragh United States 13 407 1.0× 490 1.3× 159 0.9× 117 1.1× 42 0.5× 22 764
Min Hwa Shin United States 12 240 0.6× 271 0.7× 193 1.0× 53 0.5× 41 0.5× 19 550

Countries citing papers authored by Benxia Zhang

Since Specialization
Citations

This map shows the geographic impact of Benxia Zhang'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 Benxia Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benxia Zhang more than expected).

Fields of papers citing papers by Benxia Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benxia Zhang. 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 Benxia Zhang. The network helps show where Benxia Zhang may publish in the future.

Co-authorship network of co-authors of Benxia Zhang

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

All Works

10 of 10 papers shown
3.
Shu, Pei, Yanna Lei, Ge Gao, et al.. (2024). MNK: A Novel Promising Target for Cancer Immunotherapy. Current Medicinal Chemistry. 32(17). 3347–3365. 1 indexed citations
4.
Gao, Ge, Wei‐Ting Liao, Pei Shu, et al.. (2023). Targeting sphingosine 1-phosphate receptor 3 inhibits T-cell exhaustion and regulates recruitment of proinflammatory macrophages to improve antitumor efficacy of CAR-T cells against solid tumor. Journal for ImmunoTherapy of Cancer. 11(8). e006343–e006343. 17 indexed citations
5.
Zhang, Benxia, Min Hu, Qizhi Ma, et al.. (2023). Optimized CAR-T therapy based on spatiotemporal changes and chemotactic mechanisms of MDSCs induced by hypofractionated radiotherapy. Molecular Therapy. 31(7). 2105–2119. 19 indexed citations
6.
Zhang, Benxia, Xue Li, Tao Yin, et al.. (2022). Neurotoxicity of Tumor Immunotherapy: The Emergence of Clinical Attention. Journal of Oncology. 2022. 1–12. 2 indexed citations
7.
Zhao, Jian, Bin Liu, Ning Liu, et al.. (2022). The role of angiogenesis in malignant pleural effusion: from basic research to clinical application.. PubMed. 12(11). 4879–4891. 5 indexed citations
8.
Li, Kai, Houhui Shi, Benxia Zhang, et al.. (2021). Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduction and Targeted Therapy. 6(1). 362–362. 581 indexed citations breakdown →
9.
Gao, Ge, Wei‐Ting Liao, Qizhi Ma, et al.. (2020). KRAS G12D mutation predicts lower TMB and drives immune suppression in lung adenocarcinoma. Lung Cancer. 149. 41–45. 51 indexed citations
10.
Zhang, Xiaoxuan, Li Wu, Yong Xu, et al.. (2018). Trends in the incidence rate of lung cancer by histological type and gender in Sichuan, China, 1995–2015: A single‐center retrospective study. Thoracic Cancer. 9(5). 532–541. 19 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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