David Putnam

7.6k total citations
91 papers, 5.8k citations indexed

About

David Putnam is a scholar working on Molecular Biology, Biomaterials and Microbiology. According to data from OpenAlex, David Putnam has authored 91 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 14 papers in Biomaterials and 14 papers in Microbiology. Recurrent topics in David Putnam's work include RNA Interference and Gene Delivery (28 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Bacterial Infections and Vaccines (14 papers). David Putnam is often cited by papers focused on RNA Interference and Gene Delivery (28 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Bacterial Infections and Vaccines (14 papers). David Putnam collaborates with scholars based in United States, Russia and Canada. David Putnam's co-authors include Róbert Langer, Daniel W. Pack, Anne M. Doody, Jeisa M. Pelet, Matthew P. DeLisa, Sharon Y. Wong, Daniel G. Anderson, Christine Gentry, Alexander N. Zelikin and Amy C. Richards Grayson and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

David Putnam

89 papers receiving 5.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Putnam United States 40 3.5k 1.1k 1.1k 976 741 91 5.8k
Hanne Mørck Nielsen Denmark 49 3.6k 1.0× 1.3k 1.2× 987 0.9× 273 0.3× 846 1.1× 211 7.6k
Enrico Mastrobattista Netherlands 45 4.4k 1.3× 1.7k 1.5× 1.4k 1.3× 763 0.8× 185 0.2× 137 6.9k
Young Jik Kwon United States 32 3.0k 0.8× 1.2k 1.0× 1.7k 1.6× 459 0.5× 227 0.3× 94 5.7k
Joel H. Collier United States 41 3.3k 0.9× 2.7k 2.3× 1.2k 1.1× 277 0.3× 614 0.8× 86 5.8k
Jo Demeester Belgium 44 2.8k 0.8× 1.6k 1.4× 1.8k 1.6× 347 0.4× 204 0.3× 93 5.9k
Martin C. Woodle United States 37 4.3k 1.2× 2.5k 2.2× 1.1k 1.0× 531 0.5× 185 0.2× 75 6.7k
Patrick Midoux France 46 6.0k 1.7× 834 0.7× 985 0.9× 2.0k 2.1× 142 0.2× 169 7.8k
Joanna Rejman Belgium 34 3.7k 1.0× 2.1k 1.9× 1.7k 1.6× 768 0.8× 152 0.2× 63 6.9k
Chong‐Su Cho South Korea 52 4.1k 1.2× 3.2k 2.8× 2.1k 2.0× 1.0k 1.1× 198 0.3× 273 9.4k
Koen Raemdonck Belgium 45 3.6k 1.0× 1.2k 1.0× 1.3k 1.3× 282 0.3× 309 0.4× 103 5.9k

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-authorship network of co-authors of David Putnam

This figure shows the co-authorship network connecting the top 25 collaborators of David Putnam. A scholar is included among the top collaborators of David Putnam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Putnam. David Putnam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Bonassar, Lawrence J., et al.. (2023). Effective viscous lubrication of cartilage with low viscosity microgels. Materialia. 33. 102000–102000. 7 indexed citations
3.
Hayashi, Kei, et al.. (2021). Intra-Articular Administration of a Synthetic Lubricin in Canine Stifles. Veterinary and Comparative Orthopaedics and Traumatology. 35(2). 90–95.
4.
Putnam, David, et al.. (2019). A lipid mixing assay to accurately quantify the fusion of outer membrane vesicles. Methods. 177. 74–79. 8 indexed citations
5.
Morrison, Kerry A., et al.. (2017). Transient phase behavior of an elastomeric biomaterial applied to abdominal laparotomy closure. Acta Biomaterialia. 58. 413–420. 1 indexed citations
6.
Watkins, Hannah C., et al.. (2017). Designer outer membrane vesicles as immunomodulatory systems – Reprogramming bacteria for vaccine delivery. Advanced Drug Delivery Reviews. 114. 132–142. 138 indexed citations
7.
Eguiluz, Roberto C. Andresen, et al.. (2017). Synergistic Interactions of a Synthetic Lubricin-Mimetic with Fibronectin for Enhanced Wear Protection. Frontiers in Bioengineering and Biotechnology. 5. 36–36. 16 indexed citations
8.
Putnam, David, et al.. (2016). Binding and lubrication of biomimetic boundary lubricants on articular cartilage. Journal of Orthopaedic Research®. 35(3). 548–557. 44 indexed citations
9.
Weyant, Kevin B., Joseph Rosenthal, Christian Heiß, et al.. (2016). Immunization with Outer Membrane Vesicles Displaying Designer Glycotopes Yields Class-Switched, Glycan-Specific Antibodies. Cell chemical biology. 23(6). 655–665. 43 indexed citations
10.
Rosenthal, Joseph, et al.. (2014). Microbial biosynthesis of designer outer membrane vesicles. Current Opinion in Biotechnology. 29. 76–84. 79 indexed citations
11.
Weiser, Jennifer, et al.. (2012). A mechanistic analysis of the quantitation of α-hydroxy ketones by the bicinchoninic acid assay. Analytical Biochemistry. 430(2). 116–122. 9 indexed citations
12.
Putnam, David, et al.. (2008). Materials in Surgery: A Review of Biomaterials in Postsurgical Tissue Adhesion and Seroma Prevention. Tissue Engineering Part B Reviews. 14(4). 377–391. 24 indexed citations
13.
Kim, Jae‐Young, Anne M. Doody, David J. Chen, et al.. (2008). Engineered Bacterial Outer Membrane Vesicles with Enhanced Functionality. Journal of Molecular Biology. 380(1). 51–66. 141 indexed citations
14.
Singh, Sunil P., et al.. (2008). Poly-dihydroacetate: A novel biodegradable bioadhesive for use in reconstructive surgery. Journal of the American College of Surgeons. 207(3). S64–S64. 1 indexed citations
15.
Putnam, David. (2006). Polymers for gene delivery across length scales. Nature Materials. 5(6). 439–451. 486 indexed citations
16.
Anderson, Daniel G., David Putnam, Erin Lavik, Tahir A. Mahmood, & Róbert Langer. (2005). Biomaterial microarrays: rapid, microscale screening of polymer–cell interaction. Biomaterials. 26(23). 4892–4897. 204 indexed citations
17.
Wang, Chun, Qing Ge, David T. Ting, et al.. (2004). Molecularly engineered poly(ortho ester) microspheres for enhanced delivery of DNA vaccines. Nature Materials. 3(3). 190–196. 190 indexed citations
18.
Lynn, David M., Daniel G. Anderson, David Putnam, & Róbert Langer. (2001). ChemInform Abstract: Accelerated Discovery of Synthetic Transfection Vectors: Parallel Synthesis and Screening of a Degradable Polymer Library.. ChemInform. 32(50). 3 indexed citations
19.
Dailey, Roger A., David J. Wilson, & David Putnam. (1994). Superficial Temporal-Artery Aneurysm. Ophthalmic surgery, lasers & imaging retina. 25(5). 328–329. 7 indexed citations
20.
Storb, U, Lowell P. Hager, David Putnam, et al.. (1976). Sequences related to immunoglobulin kappa chain messenger RNA in T cells.. Proceedings of the National Academy of Sciences. 73(7). 2467–2471. 16 indexed citations

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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