Anyou Wang
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hematology top 10%
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Gut microbiota and health 3
- Pluripotent Stem Cells Research 3
- Hematology 10
- Acute Myeloid Leukemia Research 6
- Co-authors
- David E. Crowley (2 shared papers)Rong Hai (5 shared papers)Stephanie Thurmond (1 shared paper)S. Claiborne Johnston (2 shared papers)Joyce Chou (2 shared papers)Zeyu Xin (1 shared paper)Guohua Yang (1 shared paper)Peng Gao (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Blood (2 papers)Computational and Structural Biotechnology Journal (2 papers)Annals of Hematology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Anyou Wang
43 papers receiving 770 citations
Peers
Comparison fields: 5 of 110
- Transplantation 45
- Hematology 83
- Cancer Research 75
- Immunology 99
- Infectious Diseases 82
Countries citing papers authored by Anyou Wang
This map shows the geographic impact of Anyou 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 Anyou Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anyou Wang more than expected).
Fields of papers citing papers by Anyou Wang
This network shows the impact of papers produced by Anyou 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 Anyou Wang. The network helps show where Anyou Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Anyou 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 109 | |
| 2 | 2017 | 100 | |
| 3 | 2016 | 70 | |
| 4 | 2008 | 70 | |
| 5 | 2012 | 70 | |
| 6 | 2014 | 62 | |
| 7 | 2010 | 43 | |
| 8 | 2011 | 24 | |
| 9 | 2010 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2004 | 14 | |
| 12 | 2007 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 9 |
About Anyou Wang
Anyou Wang is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Genetics, having authored 47 papers that have together received 786 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Complement system in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Gut microbiota and health (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Transplantation (45 citations), Hematology (83 citations), Cancer Research (75 citations), Immunology (99 citations) and Infectious Diseases (82 citations). Anyou Wang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include David E. Crowley, Rong Hai, Stephanie Thurmond, S. Claiborne Johnston, Joyce Chou, Zeyu Xin, Guohua Yang, Peng Gao, Zhi‐Liang Zheng and David M. Ojcius. Their work appears in journals such as Journal of Bacteriology, Blood, Computational and Structural Biotechnology Journal, Annals of Hematology and PLoS ONE.
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.