Daniel D. McKinnon

939 total citations
8 papers, 832 citations indexed

About

Daniel D. McKinnon is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Daniel D. McKinnon has authored 8 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Biomaterials. Recurrent topics in Daniel D. McKinnon's work include 3D Printing in Biomedical Research (4 papers), Supramolecular Self-Assembly in Materials (3 papers) and Hydrogels: synthesis, properties, applications (2 papers). Daniel D. McKinnon is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Supramolecular Self-Assembly in Materials (3 papers) and Hydrogels: synthesis, properties, applications (2 papers). Daniel D. McKinnon collaborates with scholars based in United States. Daniel D. McKinnon's co-authors include Kristi S. Anseth, Dylan W. Domaille, N. Jennifer, Malar A. Azagarsamy, Daniel L. Alge, Kyle A. Kyburz, Emi A. Kiyotake, Tobin E. Brown and April M. Kloxin and has published in prestigious journals such as The Lancet, Advanced Materials and Chemistry of Materials.

In The Last Decade

Daniel D. McKinnon

8 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel D. McKinnon United States 7 442 286 283 218 134 8 832
Julieta I. Paez Germany 16 513 1.2× 161 0.6× 296 1.0× 144 0.7× 132 1.0× 36 1.1k
Kyle A. Kyburz United States 7 462 1.0× 166 0.6× 236 0.8× 288 1.3× 70 0.5× 7 779
Minna H. Chen United States 9 603 1.4× 424 1.5× 591 2.1× 131 0.6× 89 0.7× 11 1.2k
Luping Cao China 10 473 1.1× 293 1.0× 408 1.4× 213 1.0× 77 0.6× 10 948
Marko Mihajlovic Netherlands 12 348 0.8× 240 0.8× 259 0.9× 126 0.6× 70 0.5× 17 759
Byung Woo Hwang South Korea 9 410 0.9× 293 1.0× 372 1.3× 96 0.4× 87 0.6× 12 887
Jared A. Shadish United States 9 419 0.9× 136 0.5× 236 0.8× 117 0.5× 141 1.1× 13 915
Jonas C. Rose Germany 12 563 1.3× 238 0.8× 315 1.1× 103 0.5× 50 0.4× 16 871
Justine J. Roberts United States 15 324 0.7× 140 0.5× 302 1.1× 115 0.5× 60 0.4× 22 693
Minako Okuhara Japan 7 575 1.3× 370 1.3× 485 1.7× 91 0.4× 129 1.0× 8 1.1k

Countries citing papers authored by Daniel D. McKinnon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. McKinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. McKinnon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. McKinnon. A scholar is included among the top collaborators of Daniel D. McKinnon 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 Daniel D. McKinnon. Daniel D. McKinnon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Azagarsamy, Malar A., Daniel D. McKinnon, Daniel L. Alge, & Kristi S. Anseth. (2014). Coumarin-Based Photodegradable Hydrogel: Design, Synthesis, Gelation, and Degradation Kinetics. ACS Macro Letters. 3(6). 515–519. 115 indexed citations
2.
McKinnon, Daniel D., Dylan W. Domaille, N. Jennifer, & Kristi S. Anseth. (2014). Hydrogels: Biophysically Defined and Cytocompatible Covalently Adaptable Networks as Viscoelastic 3D Cell Culture Systems (Adv. Mater. 6/2014). Advanced Materials. 26(6). 821–821. 3 indexed citations
3.
McKinnon, Daniel D., Dylan W. Domaille, Tobin E. Brown, et al.. (2014). Measuring cellular forces using bis-aliphatic hydrazone crosslinked stress-relaxing hydrogels. Soft Matter. 10(46). 9230–9236. 74 indexed citations
4.
McKinnon, Daniel D., Dylan W. Domaille, N. Jennifer, & Kristi S. Anseth. (2014). Bis-Aliphatic Hydrazone-Linked Hydrogels Form Most Rapidly at Physiological pH: Identifying the Origin of Hydrogel Properties with Small Molecule Kinetic Studies. Chemistry of Materials. 26(7). 2382–2387. 109 indexed citations
5.
McKinnon, Daniel D., Tobin E. Brown, Kyle A. Kyburz, Emi A. Kiyotake, & Kristi S. Anseth. (2014). Design and Characterization of a Synthetically Accessible, Photodegradable Hydrogel for User-Directed Formation of Neural Networks. Biomacromolecules. 15(7). 2808–2816. 89 indexed citations
6.
McKinnon, Daniel D., April M. Kloxin, & Kristi S. Anseth. (2013). Synthetic hydrogel platform for three-dimensional culture of embryonic stem cell-derived motor neurons. Biomaterials Science. 1(5). 460–460. 73 indexed citations
7.
McKinnon, Daniel D., Dylan W. Domaille, N. Jennifer, & Kristi S. Anseth. (2013). Biophysically Defined and Cytocompatible Covalently Adaptable Networks as Viscoelastic 3D Cell Culture Systems. Advanced Materials. 26(6). 865–872. 359 indexed citations
8.
McKinnon, Daniel D.. (1961). MENINGITIS DUE TO LISTERIA MONOCYTOGENES. The Lancet. 278(7201). 516–517. 10 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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