Zhichao Wang
- Molecular Biology top 1%
- Biomedical Engineering top 1%
- Materials Chemistry top 2%
- Immunology top 1%
- Electrical and Electronic Engineering top 2%
- Co-authors
- Michiru NishitaYasuhiro MinamiHiroki OtaniKoki KamizakiToru TakumiVictor W. HsuRyuju HashimotoKota Tamada
- Topics
- MicroRNA in disease regulation (15 papers)Cancer-related molecular mechanisms research (14 papers)Cancer, Hypoxia, and Metabolism (11 papers)
- Journals
- NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhichao Wang
152 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Molecular Biology 5.1k
- Biomedical Engineering 2.4k
- Materials Chemistry 2.3k
- Immunology 2.1k
- Electrical and Electronic Engineering 2.0k
Countries citing papers authored by Zhichao Wang
This map shows the geographic impact of Zhichao 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 Zhichao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhichao Wang more than expected).
Fields of papers citing papers by Zhichao Wang
This network shows the impact of papers produced by Zhichao 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 Zhichao Wang. The network helps show where Zhichao Wang may publish in the future.
Co-authorship network of co-authors of Zhichao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhichao Wang. A scholar is included among the top collaborators of Zhichao Wang 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 Zhichao Wang. Zhichao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 47 | |
| 18 | 7 | |
| 19 | Antibody titer detection and expression characteristic analysis of type II tomato metacaspase S1MC7 protein in fruit. | 1 |
| 20 | 266 |
About Zhichao Wang
Zhichao Wang is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 163 papers that have together received 17.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Immunology (2.1k citations), Cancer Research (1.2k citations) and Molecular Biology (5.1k citations). Zhichao Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Michiru Nishita, Yasuhiro Minami, Hiroki Otani, Koki Kamizaki, Toru Takumi, Victor W. Hsu, Ryuju Hashimoto, Kota Tamada, Seung‐Yeol Park and Gregory J. Pazour. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.