Mary Wang
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- Cancer-related Molecular Pathways
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 3
- Oncology 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Gary L. Clayman (8 shared papers)Adel K. El‐Naggar (5 shared papers)Chad A. Mirkin (11 shared papers)Mitchell J. Frederick (5 shared papers)Arumugam Jayakumar (5 shared papers)Ying C. Henderson (6 shared papers)Soyoung E. Seo (8 shared papers)Timothy J. McDonnell (1 shared paper)
- Journals
- Nano Letters (3 papers)ACS Nano (3 papers)Cancer Research (2 papers)Protein Expression and Purification (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mary Wang
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Oncology 288
- Cancer Research 141
- Immunology and Allergy 51
- Geriatrics and Gerontology 27
- Biotechnology 72
Countries citing papers authored by Mary Wang
This map shows the geographic impact of Mary 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 Mary Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Wang more than expected).
Fields of papers citing papers by Mary Wang
This network shows the impact of papers produced by Mary 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 Mary Wang. The network helps show where Mary Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 216 | |
| 2 | Apoptosis induction mediated by wild-type p53 adenoviral gene transfer in squamous cell carcinoma of the head and neck. | 1995 | 160 |
| 3 | 2017 | 87 | |
| 4 | 2003 | 83 | |
| 5 | 2017 | 66 | |
| 6 | 2019 | 46 | |
| 7 | 1999 | 45 | |
| 8 | 2008 | 41 | |
| 9 | 2013 | 40 | |
| 10 | 2015 | 39 | |
| 11 | 2016 | 38 | |
| 12 | 2004 | 38 | |
| 13 | 2014 | 36 | |
| 14 | 2017 | 35 | |
| 15 | 2020 | 35 | |
| 16 | 2011 | 34 | |
| 17 | 2005 | 25 | |
| 18 | 2004 | 19 | |
| 19 | 2015 | 16 | |
| 20 | 2013 | 12 |
About Mary Wang
Mary Wang is a scholar working on Molecular Biology, Oncology, Surfaces, Coatings and Films, Immunology and Cell Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Polymer Surface Interaction Studies (5 papers), RNA Interference and Gene Delivery (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Quantum Dots Synthesis And Properties (2 papers), Cancer-related Molecular Pathways (2 papers), Quantum Mechanics and Applications (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Oncology (288 citations), Cancer Research (141 citations), Immunology and Allergy (51 citations), Geriatrics and Gerontology (27 citations) and Biotechnology (72 citations). Mary Wang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Gary L. Clayman, Adel K. El‐Naggar, Chad A. Mirkin, Mitchell J. Frederick, Arumugam Jayakumar, Ying C. Henderson, Soyoung E. Seo, Timothy J. McDonnell, Dorothy Taylor and A. K. El-Naggar. Their work appears in journals such as Nano Letters, ACS Nano, Cancer Research, Protein Expression and Purification and Biochemistry.
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.