Todd C. McDevitt

10.4k citations
124 papers · 7.7k indexed · 3 hit papers · h-index 44
Topics
Pluripotent Stem Cells Research (59 papers)3D Printing in Biomedical Research (58 papers)Tissue Engineering and Regenerative Medicine (31 papers)

In The Last Decade

Todd C. McDevitt

124 papers receiving 7.7k citations

Hit Papers

Architectural Protein Subclasses Shape 3D Organization of...2009202620142020201320142009250500750

Peers

Todd C. McDevitt
Comparison fields: 5 of 148
  • Molecular Biology 3.6k
  • Biomedical Engineering 3.4k
  • Surgery 2.1k
  • Biomaterials 1.4k
  • Genetics 1.2k
Replace Kohji Nishida with:
Kohji Nishida Japan
Simon M. Cool Singapore
Song Li United States
Shulamit Levenberg Israel
Peter W. Zandstra Canada
Hyung‐Min Chung South Korea
C. Patrick United States
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Brendan A.C. Harley United States
Todd C. McDevitt relative to Kohji Nishida Japan Kohji Nishida's profile →
Citations per field
00.5×1.5×2.2×
Kohji Nishida · 1×
Citations per year

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-authorship network of co-authors of Todd C. McDevitt

This figure shows the co-authorship network connecting the top 25 collaborators of Todd C. McDevitt. A scholar is included among the top collaborators of Todd C. McDevitt 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 Todd C. McDevitt. Todd C. McDevitt 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
#WorkIndexed citations
1 7
2 41
3 61
4 130
5 47
6 16
7 109
8 5
9 7
10 15
11 52
12 17
13 33
14 26
15 5
16 10
17 22
18 114
19 26
20 16

About Todd C. McDevitt

Todd C. McDevitt is a scholar working on Cell Biology, Biomedical Engineering and Genetics, having authored 124 papers that have together received 7.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (59 papers), 3D Printing in Biomedical Research (58 papers) and Tissue Engineering and Regenerative Medicine (31 papers). The work is most often cited by research in Genetics (1.2k citations), Biomaterials (1.4k citations) and Biomedical Engineering (3.4k citations). Todd C. McDevitt has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Priya R. Baraniak, William L. Murphy, Adam J. 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 Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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