Su He Wang
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Polymers and Plastics top 5%
- Dendrimers and Hyperbranched Polymers
Papers in
-
- Cell death mechanisms and regulation 11
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- Immunology 12
- Immune Response and Inflammation 4
- Co-authors
- James R. Baker (34 shared papers)Xiangyang Shi (11 shared papers)Mingwu Shen (7 shared papers)Zhengyi Cao (14 shared papers)Xisui Chen (6 shared papers)Mary E. Van Antwerp (3 shared papers)Patricia Arscott (4 shared papers)Scott D. Swanson (2 shared papers)
- Journals
- Thyroid (4 papers)Endocrinology (4 papers)Nanomedicine (2 papers)Vaccine (2 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Su He Wang
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Biomaterials 368
- Polymers and Plastics 374
- Endocrinology, Diabetes and Metabolism 241
- Immunology 293
- Pharmaceutical Science 60
Countries citing papers authored by Su He Wang
This map shows the geographic impact of Su He 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 Su He Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su He Wang more than expected).
Fields of papers citing papers by Su He Wang
This network shows the impact of papers produced by Su He 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 Su He Wang. The network helps show where Su He Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su He 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 241 | |
| 2 | 2009 | 124 | |
| 3 | 2012 | 117 | |
| 4 | 2006 | 114 | |
| 5 | 2009 | 114 | |
| 6 | 1998 | 80 | |
| 7 | 2010 | 77 | |
| 8 | 2009 | 73 | |
| 9 | 2002 | 69 | |
| 10 | 2007 | 64 | |
| 11 | 2013 | 55 | |
| 12 | 2009 | 43 | |
| 13 | 2008 | 39 | |
| 14 | 2016 | 35 | |
| 15 | 2005 | 35 | |
| 16 | 2013 | 35 | |
| 17 | 1999 | 33 | |
| 18 | 2004 | 33 | |
| 19 | 2011 | 32 | |
| 20 | 2020 | 31 |
About Su He Wang
Su He Wang is a scholar working on Molecular Biology, Immunology, Polymers and Plastics, Organic Chemistry and Oncology, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Dendrimers and Hyperbranched Polymers (12 papers), Cell death mechanisms and regulation (11 papers), NF-κB Signaling Pathways (6 papers), RNA Interference and Gene Delivery (5 papers), Wound Healing and Treatments (4 papers), Immune Response and Inflammation (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Biomaterials (368 citations), Polymers and Plastics (374 citations), Endocrinology, Diabetes and Metabolism (241 citations), Immunology (293 citations) and Pharmaceutical Science (60 citations). Su He Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James R. Baker, Xiangyang Shi, Mingwu Shen, Zhengyi Cao, Xisui Chen, Mary E. Van Antwerp, Patricia Arscott, Scott D. Swanson, Ge Song and James D. Bretz. Their work appears in journals such as Thyroid, Endocrinology, Nanomedicine, Vaccine and International Journal of Biological Sciences.
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.