Wei Zhang
- Immunology top 1%
- Immune Cell Function and Interaction 113
- T-cell and B-cell Immunology 100
- Immunotherapy and Immune Responses 71
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 27
- CAR-T cell therapy research 11
- Biological Psychiatry top 5%
- Microbiology top 2%
- Transplantation top 5%
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- Monoclonal and Polyclonal Antibodies Research 28
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- Genomics and Phylogenetic Studies 17
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- Acute Myeloid Leukemia Research 12
- Co-authors
- Edward R. DoughertyIlya ShmulevichSiyuan LiangAnatolij HoruzskoSarah M. AssmannSona PandeyJuan WuMorris Reichlin
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Zhang
329 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 163
- Immunology 2.1k
- Oncology 1.0k
- Biological Psychiatry 80
- Microbiology 175
- Transplantation 73
Countries citing papers authored by Wei Zhang
This map shows the geographic impact of Wei 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 Wei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Zhang more than expected).
Fields of papers citing papers by Wei Zhang
This network shows the impact of papers produced by Wei 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 Wei Zhang. The network helps show where Wei Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 33 | |
| 16 | 2016 | 51 | |
| 17 | Identification of the Pathogen of Corn Northern Anthrax and Its Growth Affecting Factors | 2016 | 2 |
| 18 | [The clinical and muscular pathological features of statin-induced myopathy]. | 2015 | 0 |
| 19 | 2014 | 1 | |
| 20 | 2005 | 23 |
About Wei Zhang
Wei Zhang is a scholar working on Immunology, Nephrology and Microbiology, having authored 352 papers that have together received 5.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (113 papers), T-cell and B-cell Immunology (100 papers), Immunotherapy and Immune Responses (71 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Cancer Immunotherapy and Biomarkers (27 papers), Genomics and Phylogenetic Studies (17 papers), Acute Myeloid Leukemia Research (12 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (1.0k citations) and Biological Psychiatry (80 citations). Wei Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Edward R. Dougherty, Ilya Shmulevich, Siyuan Liang, Anatolij Horuzsko, Sarah M. Assmann, Sona Pandey, Juan Wu, Morris Reichlin, Faming Zhu and Chengping Lu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.