Mark A. Tracy
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Protein purification and stability 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
- Surgery 3
- Co-authors
- Henry R. Costantino (5 shared papers)Martin A. Maier (2 shared papers)Pieter R. Cullis (2 shared papers)Steven M. Ansell (2 shared papers)Barbara L. Mui (2 shared papers)Xinyao Du (2 shared papers)Akin Akinc (2 shared papers)Shigeo Matsuda (2 shared papers)
- Journals
- Macromolecules (2 papers)Pharmaceutical Research (2 papers)Annals of Biomedical Engineering (1 paper)AAPS PharmSciTech (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesIrelandPuerto Rico
In The Last Decade
Mark A. Tracy
14 papers receiving 1.8k citations
Mark A. Tracy's Hit Papers
Peers
Comparison fields: 5 of 102
- Pharmaceutical Science 227
- Biomaterials 281
- Molecular Biology 1.2k
- Food Science 198
- Cancer Research 136
Countries citing papers authored by Mark A. Tracy
This map shows the geographic impact of Mark A. Tracy'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 Mark A. Tracy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Tracy more than expected).
Fields of papers citing papers by Mark A. Tracy
This network shows the impact of papers produced by Mark A. Tracy. 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 Mark A. Tracy. The network helps show where Mark A. Tracy may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Tracy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo** Hit paper breakdown → | 2012 | 1004 |
| 2 | 2000 | 154 | |
| 3 | 2012 | 123 | |
| 4 | 2002 | 109 | |
| 5 | 1998 | 98 | |
| 6 | 2004 | 89 | |
| 7 | 2002 | 78 | |
| 8 | 1999 | 67 | |
| 9 | 1999 | 44 | |
| 10 | 1992 | 43 | |
| 11 | 2004 | 41 | |
| 12 | 1998 | 35 | |
| 13 | 1993 | 19 | |
| 14 | 1993 | 1 |
About Mark A. Tracy
Mark A. Tracy is a scholar working on Molecular Biology, Surgery, Food Science, Urology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microencapsulation and Drying Processes (4 papers), Protein purification and stability (3 papers), RNA Interference and Gene Delivery (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Silk-based biomaterials and applications (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Advanced Drug Delivery Systems (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Pharmaceutical Science (227 citations), Biomaterials (281 citations), Molecular Biology (1.2k citations), Food Science (198 citations) and Cancer Research (136 citations). Mark A. Tracy has collaborated with scholars based in United States, Ireland and Puerto Rico. Frequent co-authors include Henry R. Costantino, Martin A. Maier, Pieter R. Cullis, Steven M. Ansell, Barbara L. Mui, Xinyao Du, Akin Akinc, Shigeo Matsuda, Ismail M. Hafez and Michael J. Hope. Their work appears in journals such as Macromolecules, Pharmaceutical Research, Annals of Biomedical Engineering, AAPS PharmSciTech and Angewandte Chemie International Edition.
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.