Philip R. LeDuc

6.7k total citations · 1 hit paper
195 papers, 5.1k citations indexed

About

Philip R. LeDuc is a scholar working on Biomedical Engineering, Cell Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Philip R. LeDuc has authored 195 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Biomedical Engineering, 49 papers in Cell Biology and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Philip R. LeDuc's work include 3D Printing in Biomedical Research (51 papers), Cellular Mechanics and Interactions (48 papers) and Microfluidic and Bio-sensing Technologies (26 papers). Philip R. LeDuc is often cited by papers focused on 3D Printing in Biomedical Research (51 papers), Cellular Mechanics and Interactions (48 papers) and Microfluidic and Bio-sensing Technologies (26 papers). Philip R. LeDuc collaborates with scholars based in United States, France and Taiwan. Philip R. LeDuc's co-authors include Donald E. Ingber, Chao‐Min Cheng, George M. Whitesides, Emanuele Ostuni, Keiji Naruse, Carmel Majidi, William Messner, K. Jimmy Hsia, YongTae Kim and Russell Schwartz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Philip R. LeDuc

187 papers receiving 5.0k citations

Hit Papers

Bio-inspired soft robotics: Material selection, actuation... 2018 2026 2020 2023 2018 100 200 300

Peers

Philip R. LeDuc
Comparison fields: 5 of 160
  • Biomedical Engineering 3.0k
  • Cell Biology 947
  • Molecular Biology 909
  • Electrical and Electronic Engineering 724
  • Mechanical Engineering 556
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Mingming Wu United States View profile →
Citations per field, relative to Philip R. LeDuc
Philip R. LeDuc · 1×
Citations per year, relative to Philip R. LeDuc
Philip R. LeDuc · 1×

Countries citing papers authored by Philip R. LeDuc

Since Specialization
Citations

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

Fields of papers citing papers by Philip R. LeDuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. LeDuc. 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 Philip R. LeDuc. The network helps show where Philip R. LeDuc may publish in the future.

Co-authorship network of co-authors of Philip R. LeDuc

This figure shows the co-authorship network connecting the top 25 collaborators of Philip R. LeDuc. A scholar is included among the top collaborators of Philip R. LeDuc 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 Philip R. LeDuc. Philip R. LeDuc 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
# Work Indexed citations
1 4
2 1
3 1
4 14
5 9
6 27
7 10
8 5
9 90
10 21
11 4
12 22
13 28
14 3
15 24
16 60
17 36
18 1
19 41
20
Analyse des réponses des étudiants à un questionnaire relatif au mémoire de recherche de la maîtrise en administration des affaires
1

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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