Todd C. McDevitt

10.7k citations
132 papers · 8.5k · 3 hit papers · h-index 47

Impact in

  • Genetics top 1%
    • Mesenchymal stem cell research
  • Biomaterials top 0.5%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Todd C. McDevitt

132 papers receiving 8.4k citations

Todd C. McDevitt's Hit Papers

Materials as stem cell regulators 2014 · 832 citations
8320+5+11Years since publication250500750

Peers

Todd C. McDevitt
Comparison fields: 5 of 160
  • Genetics 1.2k
  • Biomaterials 1.5k
  • Biomedical Engineering 3.6k
  • Cell Biology 989
  • Molecular Biology 3.8k
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Countries citing papers authored by Todd C. McDevitt

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. McDevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd C. McDevitt. 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 Todd C. McDevitt. The network helps show where Todd C. McDevitt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment
Hit paper breakdown →
2013898
2
Materials as stem cell regulators
Hit paper breakdown →
2014832
3
Stem Cell Paracrine Actions and Tissue Regeneration
Hit paper breakdown →
2009720
4 2009232
5 2011227
6 2003183
7 2014179
8 2002166
9 2007165
10 2021154
11 2005153
12 2010150
13 2013146
14 2014130
15 2011124
16 2021120
17 2020117
18 2009116
19 2018116
20 2012111

About Todd C. McDevitt

Todd C. McDevitt is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Genetics and Surgery, having authored 132 papers that have together received 8.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (63 papers), Pluripotent Stem Cells Research (61 papers), Tissue Engineering and Regenerative Medicine (29 papers), Microfluidic and Bio-sensing Technologies (13 papers), Electrospun Nanofibers in Biomedical Applications (13 papers), Mesenchymal stem cell research (13 papers), Cellular Mechanics and Interactions (10 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Genetics (1.2k citations), Biomaterials (1.5k citations), Biomedical Engineering (3.6k citations), Cell Biology (989 citations) and Molecular Biology (3.8k citations). Todd C. McDevitt has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Priya R. Baraniak, William L. Murphy, Adam Jeffrey Engler, Richard L. Carpenedo, Andrés M. Bratt‐Leal, Melissa A. Kinney, Carolyn Y. Sargent, Tracy A. Hookway, Charles E. Murry and Marian H. Hettiaratchi. Their work appears in journals such as Biomaterials, Acta Biomaterialia, Tissue Engineering Part A, Cytotherapy and Journal of Materials Chemistry B.

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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