Wanhong Zhao
- Hematology top 5%
- Multiple Myeloma Research and Treatments 8
- Acute Myeloid Leukemia Research 7
- Hematopoietic Stem Cell Transplantation 4
- Oncology top 10%
- CAR-T cell therapy research 13
- Neutropenia and Cancer Infections 4
- Immunology top 10%
- Immunotherapy and Immune Responses 6
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 7
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Aili HeWanggang ZhangYinxia ChenXing-Mei CaoFangxia WangHideto TamuraYilin ZhangLiufang Gu
- Cited by
- HematologyOncologyImmunology
- Journals
- Journal of Clinical Oncology (4 papers)SHILAP Revista de lepidopterología (3 papers)Blood (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wanhong Zhao
49 papers receiving 963 citations
Peers
Comparison fields: 5 of 84
- Hematology 274
- Oncology 432
- Immunology 322
- Cancer Research 196
- Molecular Biology 396
Countries citing papers authored by Wanhong Zhao
This map shows the geographic impact of Wanhong Zhao'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 Wanhong Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanhong Zhao more than expected).
Fields of papers citing papers by Wanhong Zhao
This network shows the impact of papers produced by Wanhong Zhao. 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 Wanhong Zhao. The network helps show where Wanhong Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wanhong Zhao, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 10 | |
| 12 | Long noncoding RNA SNHG14 promotes breast cancer cell proliferation and invasion via sponging miR-193a-3p | 2020 | 7 |
| 13 | 2020 | 16 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 77 | |
| 16 | Efficacy of bevacizumab versus epidermal growth factor receptor inhibitors for wild-type RAS metastatic colorectal cancer: a meta-analysis | 2018 | 1 |
| 17 | 2017 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2007 | 26 | |
| 20 | 2005 | 12 |
About Wanhong Zhao
Wanhong Zhao is a scholar working on Hematology, Oncology and Cancer Research, having authored 54 papers that have together received 978 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Multiple Myeloma Research and Treatments (8 papers), Cancer-related molecular mechanisms research (7 papers), Acute Myeloid Leukemia Research (7 papers), Immunotherapy and Immune Responses (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Neutropenia and Cancer Infections (4 papers). The work is most often cited by research in Hematology (274 citations), Oncology (432 citations) and Immunology (322 citations). Wanhong Zhao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Aili He, Wanggang Zhang, Yinxia Chen, Xing-Mei Cao, Fangxia Wang, Hideto Tamura, Yilin Zhang, Liufang Gu, Pengyu Zhang and Bo Lei. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.