Shengzhi Wang
- Immunology
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- H.‐Christian von BüdingenPei ShenFan ShiLeonard ApeltsinMarina SirotaSteven J. PittsLora ZhaoTracy C. Kuo
- Topics
- RNA modifications and cancer (4 papers)T-cell and B-cell Immunology (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Partner nations
- ChinaUnited StatesCroatia
In The Last Decade
Shengzhi Wang
26 papers receiving 508 citations
Peers
Comparison fields: 5 of 75
- Immunology 212
- Pathology and Forensic Medicine 161
- Molecular Biology 153
- Oncology 72
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Shengzhi Wang
This map shows the geographic impact of Shengzhi 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 Shengzhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengzhi Wang more than expected).
Fields of papers citing papers by Shengzhi Wang
This network shows the impact of papers produced by Shengzhi 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 Shengzhi Wang. The network helps show where Shengzhi Wang may publish in the future.
Co-authorship network of co-authors of Shengzhi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shengzhi Wang. A scholar is included among the top collaborators of Shengzhi 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 Shengzhi Wang. Shengzhi 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 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 71 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 34 | |
| 13 | 173 | |
| 14 | 9 | |
| 15 | [Change of T lymphocyte subsets, interleukin-2 and tumor necrosis factor-alpha in tumor-bearing mice and patients with oral cancer receiving thermo-chemotherapy]. | 2 |
| 16 | Strong Inhibition of UDP-Glucuronosyltransferase (UGT) 1A1 by Levothyroxine Indicates the Potential UGT-Inhibition Based Adverse Effect of Levothyroxine | 2 |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 17 | |
| 20 | 17 |
About Shengzhi Wang
Shengzhi Wang is a scholar working on Otorhinolaryngology, Cancer Research and Immunology, having authored 26 papers that have together received 511 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Immunology (212 citations), Pathology and Forensic Medicine (161 citations) and Nephrology (34 citations). Shengzhi Wang has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include H.‐Christian von Büdingen, Pei Shen, Fan Shi, Leonard Apeltsin, Marina Sirota, Steven J. Pitts, Lora Zhao, Tracy C. Kuo, Dilduz Telman and Arumugam Palanichamy. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Controlled Release.
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.