Yadan Wang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Natural product bioactivities and synthesis 5
- Epigenetics and DNA Methylation 3
- Oncology 13
- COVID-19 and healthcare impacts 5
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Yu Hu (13 shared papers)Xiancang Ma (4 shared papers)Bo Zhou (3 shared papers)Jianqing She (3 shared papers)Heng Mei (8 shared papers)Jun Deng (3 shared papers)Lisha Ai (4 shared papers)Liqiong Cai (1 shared paper)
- Journals
- Platelets (2 papers)Postharvest Biology and Technology (2 papers)Scientific Reports (1 paper)Clinical Infectious Diseases (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Yadan Wang
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 467
- Neurology 227
- Internal Medicine 50
- Oncology 314
- Geriatrics and Gerontology 40
Countries citing papers authored by Yadan Wang
This map shows the geographic impact of Yadan 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 Yadan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadan Wang more than expected).
Fields of papers citing papers by Yadan Wang
This network shows the impact of papers produced by Yadan 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 Yadan Wang. The network helps show where Yadan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yadan 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 328 | |
| 2 | 2019 | 122 | |
| 3 | 2020 | 91 | |
| 4 | 2018 | 86 | |
| 5 | 2015 | 77 | |
| 6 | 2006 | 71 | |
| 7 | 2020 | 66 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 35 | |
| 10 | 2013 | 33 | |
| 11 | 2012 | 32 | |
| 12 | 2018 | 30 | |
| 13 | 2017 | 29 | |
| 14 | 2017 | 27 | |
| 15 | 2020 | 25 | |
| 16 | 2013 | 25 | |
| 17 | 2015 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2016 | 16 |
About Yadan Wang
Yadan Wang is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Pharmacology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), COVID-19 and healthcare impacts (5 papers), Natural product bioactivities and synthesis (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Long-Term Effects of COVID-19 (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Postharvest Quality and Shelf Life Management (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Infectious Diseases (467 citations), Neurology (227 citations), Internal Medicine (50 citations), Oncology (314 citations) and Geriatrics and Gerontology (40 citations). Yadan Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Yu Hu, Xiancang Ma, Bo Zhou, Jianqing She, Heng Mei, Jun Deng, Lisha Ai, Liqiong Cai, Danying Liao and Jiahong Xia. Their work appears in journals such as Platelets, Postharvest Biology and Technology, Scientific Reports, Clinical Infectious Diseases and International Journal of Biological Macromolecules.
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.