Mai Wang
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
- Psoriasis: Treatment and Pathogenesis
-
- Cytokine Signaling Pathways and Interactions
- CAR-T cell therapy research
Papers in
-
- Microstructure and Mechanical Properties of Steels 8
-
- Metal Alloys Wear and Properties 5
- Corrosion Behavior and Inhibition 4
- Co-authors
- Zhongjia Tan (2 shared papers)Peng Liang (1 shared paper)Sergei V. Kotenko (1 shared paper)Rong Zhang (1 shared paper)Peng Liang (2 shared papers)Liang Peng (1 shared paper)Roger S. Jackson (1 shared paper)Birger Herzog (1 shared paper)
- Journals
- Journal of Iron and Steel Research International (4 papers)The Lancet Oncology (3 papers)Metals (3 papers)APL Photonics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mai Wang
40 papers receiving 791 citations
Peers
Comparison fields: 5 of 111
- Immunology 222
- Oncology 215
- Pathology and Forensic Medicine 87
- Molecular Biology 306
- Cell Biology 69
Countries citing papers authored by Mai Wang
This map shows the geographic impact of Mai 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 Mai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Wang more than expected).
Fields of papers citing papers by Mai Wang
This network shows the impact of papers produced by Mai 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 Mai Wang. The network helps show where Mai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 223 | |
| 2 | 2004 | 179 | |
| 3 | 2005 | 77 | |
| 4 | 2019 | 72 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 7 |
About Mai Wang
Mai Wang is a scholar working on Mechanical Engineering, Materials Chemistry, Molecular Biology, Mechanics of Materials and Oncology, having authored 48 papers that have together received 814 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (8 papers), Metallurgy and Material Forming (6 papers), Metal Alloys Wear and Properties (5 papers), Photorefractive and Nonlinear Optics (4 papers), Corrosion Behavior and Inhibition (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers) and Advanced Fiber Laser Technologies (3 papers). The work is most often cited by research in Immunology (222 citations), Oncology (215 citations), Pathology and Forensic Medicine (87 citations), Molecular Biology (306 citations) and Cell Biology (69 citations). Mai Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongjia Tan, Peng Liang, Sergei V. Kotenko, Rong Zhang, Peng Liang, Liang Peng, Roger S. Jackson, Birger Herzog, Emily K. Thomas and Matthew D Westfall. Their work appears in journals such as Journal of Iron and Steel Research International, The Lancet Oncology, Metals, APL Photonics and Journal of Biological 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.