Daniel W. Pack

11k citations
87 papers · 9.8k · 1 hit paper · h-index 44

Impact in

Papers in

Daniel W. Pack

87 papers receiving 9.4k citations

Daniel W. Pack's Hit Papers

Design and development of polymers for gene delivery 2005 · 2.3k citations
2.3k0+7+14Years since publication5001k1.5k2k

Peers

Daniel W. Pack
Comparison fields: 5 of 139
  • Pharmaceutical Science 2k
  • Biomaterials 2.2k
  • Molecular Medicine 492
  • Molecular Biology 3.9k
  • Polymers and Plastics 644
Replace Snow Stolnik with:
Snow Stolnik United Kingdom
Takuro Niidome Japan
In‐Kyu Park South Korea
Thierry Delair France
Jung Soo Suk United States
Alexander Kros Netherlands
John Andrew MacKay United States
Ijeoma Florence Uchegbu United Kingdom
Hasan Uludağ Canada
Valery Yu. Alakhov United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel W. Pack

Since Specialization
Citations

This map shows the geographic impact of Daniel W. Pack'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 Daniel W. Pack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Pack more than expected).

Fields of papers citing papers by Daniel W. Pack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Pack. 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 Daniel W. Pack. The network helps show where Daniel W. Pack may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel W. Pack, 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 Daniel W. Pack Line = papers co-authored together Daniel W. Pack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and development of polymers for gene delivery
Hit paper breakdown →
20052296
2 2000665
3 2001446
4 2004375
5 2003357
6 2002346
7 2012298
8 2001287
9 2006246
10 2000241
11 2004218
12 1999216
13 2003180
14 2003178
15 2008176
16 2011161
17 2004147
18 1995137
19 2007134
20 2002125

About Daniel W. Pack

Daniel W. Pack is a scholar working on Pharmaceutical Science, Biomaterials, Molecular Biology, Polymers and Plastics and Structural Biology, having authored 87 papers that have together received 9.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (32 papers), Advanced Drug Delivery Systems (28 papers), Nanoparticle-Based Drug Delivery (12 papers), Lipid Membrane Structure and Behavior (7 papers), Dendrimers and Hyperbranched Polymers (5 papers), Virus-based gene therapy research (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers) and Microencapsulation and Drying Processes (3 papers). The work is most often cited by research in Pharmaceutical Science (2k citations), Biomaterials (2.2k citations), Molecular Medicine (492 citations), Molecular Biology (3.9k citations) and Polymers and Plastics (644 citations). Daniel W. Pack has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Patrick S. Stayton, Allan S. Hoffman, Suzie Hwang Pun, Róbert Langer, Cory J. Berkland, Nathan P. Gabrielson, Kyekyoon Kim, Marcus Laird Forrest, David A. Putnam and James T. Koerber. Their work appears in journals such as Journal of Controlled Release, Pharmaceutical Research, Biomaterials, Journal of Pharmaceutical Sciences and Biomacromolecules.

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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