Benxia Zhang
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 5
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 3
-
- Immune Cell Function and Interaction 3
- Immune cells in cancer 2
- Inflammation biomarkers and pathways 1
- Phagocytosis and Immune Regulation 1
- Co-authors
- Qizhi Ma (9 shared papers)Yongsheng Wang (8 shared papers)Pei Shu (5 shared papers)Kai Li (2 shared papers)Dan Li (2 shared papers)Yue Chen (3 shared papers)Houhui Shi (1 shared paper)Xuejin Ou (2 shared papers)
- Journals
- Molecular Therapy (1 paper)Cancer Research (1 paper)Lung Cancer (1 paper)Signal Transduction and Targeted Therapy (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- China
In The Last Decade
Benxia Zhang
9 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 400
- Oncology 364
- Cancer Research 66
- Pulmonary and Respiratory Medicine 105
- Biological Psychiatry 7
Countries citing papers authored by Benxia Zhang
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
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-authors
The 25 scholars most cited alongside Benxia Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer Hit paper breakdown → | 2021 | 581 |
| 2 | 2020 | 51 | |
| 3 | 2023 | 19 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 17 | |
| 6 | The role of angiogenesis in malignant pleural effusion: from basic research to clinical application. | 2022 | 5 |
| 7 | 2022 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 |
About Benxia Zhang
Benxia Zhang is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Organic Chemistry and Molecular Biology, having authored 10 papers that have together received 696 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Immune cells in cancer (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Inflammation biomarkers and pathways (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (400 citations), Oncology (364 citations), Cancer Research (66 citations), Pulmonary and Respiratory Medicine (105 citations) and Biological Psychiatry (7 citations). Benxia Zhang has collaborated with scholars based in China. Frequent co-authors include Qizhi Ma, Yongsheng Wang, Pei Shu, Kai Li, Dan Li, Yue Chen, Houhui Shi, Xuejin Ou, Wei‐Ting Liao and Yue Chen. Their work appears in journals such as Molecular Therapy, Cancer Research, Lung Cancer, Signal Transduction and Targeted Therapy and Current Medicinal Chemistry.
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.