Can Wang
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 3
- Nephrology 13
- Gout, Hyperuricemia, Uric Acid 11
- Co-authors
- J. M. Gimble (1 shared paper)Vicki Rosen (1 shared paper)Caurnel Morgan (1 shared paper)Katherine A. Kelly (1 shared paper)Xiying Wu (1 shared paper)Ningzheng Dong (7 shared papers)Qingyu Wu (7 shared papers)Ming Chen (4 shared papers)
- Journals
- Lara D. Veeken (3 papers)International Journal of Cardiology (2 papers)European Journal of Pharmacology (2 papers)Medicine (2 papers)Intensive and Critical Care Nursing (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Can Wang
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Nephrology 106
- Cancer Research 193
- Obstetrics and Gynecology 73
- Genetics 83
- Molecular Biology 513
Countries citing papers authored by Can Wang
This map shows the geographic impact of Can 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 Can Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Wang more than expected).
Fields of papers citing papers by Can Wang
This network shows the impact of papers produced by Can 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 Can Wang. The network helps show where Can Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 166 | |
| 2 | 2021 | 86 | |
| 3 | 2019 | 75 | |
| 4 | 2019 | 75 | |
| 5 | 2018 | 51 | |
| 6 | 2023 | 45 | |
| 7 | 2018 | 45 | |
| 8 | 2018 | 40 | |
| 9 | 2015 | 40 | |
| 10 | 2017 | 39 | |
| 11 | 2019 | 37 | |
| 12 | 2021 | 32 | |
| 13 | 2011 | 31 | |
| 14 | 2011 | 31 | |
| 15 | 2017 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 29 | |
| 18 | 2021 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2017 | 25 |
About Can Wang
Can Wang is a scholar working on Molecular Biology, Nephrology, Physiology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (11 papers), Pregnancy and preeclampsia studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Alzheimer's disease research and treatments (4 papers), Acupuncture Treatment Research Studies (3 papers), Andrographolide Research and Applications (3 papers), RNA modifications and cancer (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Nephrology (106 citations), Cancer Research (193 citations), Obstetrics and Gynecology (73 citations), Genetics (83 citations) and Molecular Biology (513 citations). Can Wang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include J. M. Gimble, Vicki Rosen, Caurnel Morgan, Katherine A. Kelly, Xiying Wu, Ningzheng Dong, Qingyu Wu, Ming Chen, Bin Xu and Changgui Li. Their work appears in journals such as Lara D. Veeken, International Journal of Cardiology, European Journal of Pharmacology, Medicine and Intensive and Critical Care Nursing.
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.