Mark A. Tracy

15 papers receiving 1.9k citations

Mark A. Tracy's Hit Papers

Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo** 2012 · 1.0k citations
1.0k0+4+9Years since publication2505007501000

Peers

Mark A. Tracy
Comparison fields: 5 of 104
  • Pharmaceutical Science 241
  • Biomaterials 304
  • Molecular Biology 1.3k
  • Food Science 209
  • Cancer Research 142
Replace Guy Zuber with:
Guy Zuber France
Xiangang Huang China
Junchao Xu China
Thierry Bettinger United Kingdom
Maxim Shevtsov Russia
Kenji Yokoi United States
Klaus Kunath Germany
Ge Jiang China
Shaomin Zou China
Weimin Wang United States
Mark A. Tracy relative to Guy Zuber France Guy Zuber's profile →
Citations per field
00.5×3.4×
Guy Zuber · 1×
Citations per year

Countries citing papers authored by Mark A. Tracy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark A. Tracy Line = papers co-authored together Mark A. Tracy links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**
Hit paper breakdown →
20121027
2 2000164
3 2012126
4 2002115
5 1998100
6 200494
7 200283
8 199975
9 200451
10 199945
11 199245
12 199840
13 199320
14 19931
15 20051

About Mark A. Tracy

Mark A. Tracy is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Pharmaceutical Science and Food Science, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microencapsulation and Drying Processes (4 papers), Protein purification and stability (3 papers), Inhalation and Respiratory Drug Delivery (3 papers), RNA Interference and Gene Delivery (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Silk-based biomaterials and applications (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 (241 citations), Biomaterials (304 citations), Molecular Biology (1.3k citations), Food Science (209 citations) and Cancer Research (142 citations). Mark A. Tracy has collaborated with scholars based in United States, Ireland and Puerto Rico. Frequent co-authors include Henry R. Costantino, Ying K. Tam, Ismail M. Hafez, Martin A. Maier, Barbara L. Mui, Thomas D. Madden, Xinyao Du, Muthiah Manoharan, Steven M. Ansell and Muthusamy Jayaraman. Their work appears in journals such as Macromolecules, Pharmaceutical Research, AAPS PharmSciTech, Angewandte Chemie International Edition and Biomaterials.

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.

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