Zirui Wan
Impact in
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- Cancer-related molecular mechanisms research
- Pharmacology top 10%
Papers in
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- Natural product bioactivities and synthesis 2
- Epidemiology 10
- Cytomegalovirus and herpesvirus research 5
- Adipokines, Inflammation, and Metabolic Diseases 2
- Autophagy in Disease and Therapy 2
- Co-authors
- Yali Lv (16 shared papers)Lili Gong (14 shared papers)Lihong Liu (13 shared papers)Feifei Han (12 shared papers)Lulu Ren (11 shared papers)He Liu (5 shared papers)Lingling Xuan (9 shared papers)Wen Zhang (6 shared papers)
- Journals
- Lipids in Health and Disease (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)European Journal of Pharmacology (2 papers)Virus Research (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Zirui Wan
30 papers receiving 642 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 93
- Pharmacology 51
- Epidemiology 158
- Pathology and Forensic Medicine 70
- Molecular Medicine 19
Countries citing papers authored by Zirui Wan
This map shows the geographic impact of Zirui Wan'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 Zirui Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zirui Wan more than expected).
Fields of papers citing papers by Zirui Wan
This network shows the impact of papers produced by Zirui Wan. 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 Zirui Wan. The network helps show where Zirui Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zirui Wan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2018 | 51 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 40 | |
| 5 | 2019 | 40 | |
| 6 | 2018 | 39 | |
| 7 | 2017 | 38 | |
| 8 | 2017 | 35 | |
| 9 | 2002 | 35 | |
| 10 | 2019 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2019 | 32 | |
| 13 | 2017 | 30 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2019 | 10 | |
| 20 | 2020 | 8 |
About Zirui Wan
Zirui Wan is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 647 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Natural product bioactivities and synthesis (2 papers), Vitamin D Research Studies (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (93 citations), Pharmacology (51 citations), Epidemiology (158 citations), Pathology and Forensic Medicine (70 citations) and Molecular Medicine (19 citations). Zirui Wan has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Yali Lv, Lili Gong, Lihong Liu, Feifei Han, Lulu Ren, He Liu, Lingling Xuan, Wen Zhang, Song Yang and Guo Wang. Their work appears in journals such as Lipids in Health and Disease, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Virus Research and Infection and Drug Resistance.
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.