Haiying Wan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in
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- RNA Interference and Gene Delivery 2
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- Dendrimers and Hyperbranched Polymers 4
- Co-authors
- Hua Tang (9 shared papers)Xin Li (5 shared papers)Min Liu (5 shared papers)Tao Liu (2 shared papers)Min Liu (3 shared papers)Qin Tian (2 shared papers)Chunhong Wang (2 shared papers)Zhi Yuan (2 shared papers)
- Journals
- The Journal of Physical Chemistry C (3 papers)Cancer Letters (2 papers)Acta Biomaterialia (2 papers)Oncotarget (2 papers)Cell Research (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Haiying Wan
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 450
- Catalysis 120
- Biomaterials 178
- Pharmacology 111
- Molecular Biology 643
Countries citing papers authored by Haiying Wan
This map shows the geographic impact of Haiying 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 Haiying Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiying Wan more than expected).
Fields of papers citing papers by Haiying Wan
This network shows the impact of papers produced by Haiying 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 Haiying Wan. The network helps show where Haiying Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiying 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 198 | |
| 2 | 2009 | 152 | |
| 3 | 2012 | 150 | |
| 4 | 2010 | 146 | |
| 5 | 2011 | 123 | |
| 6 | 2014 | 107 | |
| 7 | 2010 | 101 | |
| 8 | 2014 | 84 | |
| 9 | 2011 | 65 | |
| 10 | 2015 | 63 | |
| 11 | 2015 | 48 | |
| 12 | 2016 | 42 | |
| 13 | 2011 | 38 | |
| 14 | 2015 | 37 | |
| 15 | 2017 | 31 | |
| 16 | 2013 | 27 | |
| 17 | 2013 | 27 | |
| 18 | 2009 | 21 | |
| 19 | 2008 | 14 | |
| 20 | 2009 | 9 |
About Haiying Wan
Haiying Wan is a scholar working on Molecular Biology, Polymers and Plastics, Cancer Research, Materials Chemistry and Electrical and Electronic Engineering, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Dendrimers and Hyperbranched Polymers (4 papers), Catalytic Processes in Materials Science (3 papers), Cancer-related molecular mechanisms research (3 papers), Zeolite Catalysis and Synthesis (2 papers), Fuel Cells and Related Materials (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (450 citations), Catalysis (120 citations), Biomaterials (178 citations), Pharmacology (111 citations) and Molecular Biology (643 citations). Haiying Wan has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Hua Tang, Xin Li, Min Liu, Tao Liu, Min Liu, Qin Tian, Chunhong Wang, Zhi Yuan, Chuangnian Zhang and Min Liu. Their work appears in journals such as The Journal of Physical Chemistry C, Cancer Letters, Acta Biomaterialia, Oncotarget and Cell Research.
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.