Jeffrey Wang
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
- Oncology 9
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- Sunil Prabhu (22 shared papers)Arvind Thakkar (12 shared papers)Zhijun Wang (8 shared papers)Guru V. Betageri (5 shared papers)Andrew S. Pumerantz (3 shared papers)Ying Huang (8 shared papers)Preshita Desai (8 shared papers)Dhruvitkumar S. Sutaria (3 shared papers)
- Journals
- Cancer Research (6 papers)Frontiers in Pharmacology (3 papers)Molecules (3 papers)Cancer Prevention Research (2 papers)Pharmaceutical Research (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jeffrey Wang
74 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Pharmaceutical Science 172
- Molecular Medicine 110
- Complementary and alternative medicine 130
- Biomaterials 215
- Toxicology 40
Countries citing papers authored by Jeffrey Wang
This map shows the geographic impact of Jeffrey 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 Jeffrey Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Wang more than expected).
Fields of papers citing papers by Jeffrey Wang
This network shows the impact of papers produced by Jeffrey 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 Jeffrey Wang. The network helps show where Jeffrey Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 114 | |
| 2 | 2012 | 86 | |
| 3 | 2010 | 81 | |
| 4 | 2012 | 80 | |
| 5 | 2017 | 71 | |
| 6 | 2019 | 66 | |
| 7 | 2014 | 61 | |
| 8 | 2010 | 61 | |
| 9 | 2015 | 58 | |
| 10 | 2012 | 56 | |
| 11 | 2011 | 55 | |
| 12 | 2020 | 54 | |
| 13 | 2007 | 44 | |
| 14 | 2021 | 43 | |
| 15 | 2006 | 39 | |
| 16 | 2016 | 35 | |
| 17 | 2013 | 33 | |
| 18 | 2013 | 29 | |
| 19 | 2019 | 28 | |
| 20 | 2015 | 25 |
About Jeffrey Wang
Jeffrey Wang is a scholar working on Molecular Biology, Oncology, Molecular Medicine, Cancer Research and Epidemiology, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (7 papers), Natural Compounds in Disease Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Advancements in Transdermal Drug Delivery (5 papers) and Bioactive Compounds and Antitumor Agents (4 papers). The work is most often cited by research in Pharmaceutical Science (172 citations), Molecular Medicine (110 citations), Complementary and alternative medicine (130 citations), Biomaterials (215 citations) and Toxicology (40 citations). Jeffrey Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Sunil Prabhu, Arvind Thakkar, Zhijun Wang, Guru V. Betageri, Andrew S. Pumerantz, Ying Huang, Preshita Desai, Dhruvitkumar S. Sutaria, Wei‐Chiang Shen and David K. Ann. Their work appears in journals such as Cancer Research, Frontiers in Pharmacology, Molecules, Cancer Prevention Research and Pharmaceutical 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.