David Putnam

7.6k citations
91 papers · 5.8k · h-index 40

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
  • Biomaterials top 0.5%
    • Nanoparticle-Based Drug Delivery
    • biodegradable polymer synthesis and properties

Papers in

    • RNA Interference and Gene Delivery 28
    • Advanced biosensing and bioanalysis techniques 18
    • biodegradable polymer synthesis and properties 8

David Putnam

89 papers receiving 5.7k citations

Peers

David Putnam
Comparison fields: 5 of 128
  • Microbiology 741
  • Biomaterials 1.1k
  • Molecular Biology 3.5k
  • Pharmaceutical Science 281
  • Process Chemistry and Technology 115
Replace Ziyuan Song with:
Ziyuan Song United States
Rafael Gómez Spain
David M. Lynn United States
Vincent P. Conticello United States
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Jo Demeester Belgium
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Citations per field
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Citations per year

Countries citing papers authored by David Putnam

Since Specialization
Citations

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

Fields of papers citing papers by David Putnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Putnam. 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 David Putnam. The network helps show where David Putnam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006486
2 2001410
3 2007354
4 2001317
5 2006268
6 2010241
7 2001236
8 2000214
9 2005204
10 1999198
11 2004190
12 2008141
13 2017138
14 2016115
15 2016106
16 1999104
17 200394
18 201785
19 201882
20 201479

About David Putnam

David Putnam is a scholar working on Molecular Biology, Biomaterials, Microbiology, Surgery and Immunology, having authored 91 papers that have together received 5.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (28 papers), Advanced biosensing and bioanalysis techniques (18 papers), Bacterial Infections and Vaccines (14 papers), Virus-based gene therapy research (8 papers), biodegradable polymer synthesis and properties (8 papers), Immunotherapy and Immune Responses (8 papers), Advanced Polymer Synthesis and Characterization (7 papers) and Osteoarthritis Treatment and Mechanisms (7 papers). The work is most often cited by research in Microbiology (741 citations), Biomaterials (1.1k citations), Molecular Biology (3.5k citations), Pharmaceutical Science (281 citations) and Process Chemistry and Technology (115 citations). David Putnam has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Róbert Langer, Daniel W. Pack, Anne M. Doody, Matthew P. DeLisa, Jeisa M. Pelet, Sharon Y. Wong, Daniel G. Anderson, Christine Gentry, Alexander N. Zelikin and Amy C. Richards Grayson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioconjugate Chemistry, Journal of Controlled Release, Biomacromolecules 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.

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