Joseph M. Le Doux

1.3k total citations
41 papers, 952 citations indexed

About

Joseph M. Le Doux is a scholar working on Genetics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Joseph M. Le Doux has authored 41 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 22 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Joseph M. Le Doux's work include Virus-based gene therapy research (23 papers), RNA Interference and Gene Delivery (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Joseph M. Le Doux is often cited by papers focused on Virus-based gene therapy research (23 papers), RNA Interference and Gene Delivery (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). Joseph M. Le Doux collaborates with scholars based in United States. Joseph M. Le Doux's co-authors include Jeffrey R. Morgan, Martin L. Yarmush, Andrés J. Garcı́a, Natalia Landázuri, Robert E. Guldberg, Jennifer E. Phillips‐Cremins, Richard Snow, Howard E. Davis, Charles A. Gersbach and Charles M. Roth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Journal of Virology.

In The Last Decade

Joseph M. Le Doux

38 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph M. Le Doux United States 15 577 472 145 112 108 41 952
Amanda Malone United States 12 490 0.8× 201 0.4× 167 1.2× 150 1.3× 87 0.8× 22 1.1k
Mogens Duch Denmark 23 671 1.2× 333 0.7× 395 2.7× 157 1.4× 310 2.9× 62 1.5k
Robert Kutner United States 14 723 1.3× 388 0.8× 53 0.4× 116 1.0× 63 0.6× 18 1.2k
Hiroaki Shibata Japan 19 467 0.8× 211 0.4× 69 0.5× 89 0.8× 84 0.8× 59 1.0k
Daniela Zychlinski Germany 15 1.1k 1.8× 729 1.5× 431 3.0× 62 0.6× 49 0.5× 21 1.6k
Jianmin Fang China 11 572 1.0× 327 0.7× 185 1.3× 99 0.9× 43 0.4× 20 1.1k
A. Hildebrand Germany 12 753 1.3× 203 0.4× 60 0.4× 149 1.3× 87 0.8× 15 1.5k
Antonio Fittipaldi Italy 7 875 1.5× 216 0.5× 90 0.6× 87 0.8× 188 1.7× 8 1.1k
Dagmar Wirth Germany 27 1.1k 1.9× 644 1.4× 91 0.6× 121 1.1× 31 0.3× 97 1.9k
Nan Sook Lee United States 15 1.2k 2.1× 334 0.7× 111 0.8× 67 0.6× 208 1.9× 25 1.5k

Countries citing papers authored by Joseph M. Le Doux

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Le Doux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Le Doux. 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 Joseph M. Le Doux. The network helps show where Joseph M. Le Doux may publish in the future.

Co-authorship network of co-authors of Joseph M. Le Doux

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Le Doux. A scholar is included among the top collaborators of Joseph M. Le Doux 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 Joseph M. Le Doux. Joseph M. Le Doux 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
1.
Doux, Joseph M. Le, et al.. (2022). Establishing a Rubric to Assess Students’ Empathy Development Using Artifacts from Biomedical Engineering Courses. 2022 IEEE Frontiers in Education Conference (FIE). 1–9. 1 indexed citations
2.
Nezafati, Maysam, Sara Schley, & Joseph M. Le Doux. (2022). Responsible innovation in biomedical engineering: a value sensitive design intervention. 2022 IEEE Frontiers in Education Conference (FIE). 1–8. 4 indexed citations
3.
Tran, Reginald, David R. Myers, Gabriela Denning, et al.. (2017). Microfluidic Transduction Harnesses Mass Transport Principles to Enhance Gene Transfer Efficiency. Molecular Therapy. 25(10). 2372–2382. 21 indexed citations
4.
Doux, Joseph M. Le & A.A. Waller. (2016). The Problem Solving Studio: An Apprenticeship Environment for Aspiring Engineers.. AEE Journal. 5(3). 6 indexed citations
5.
Doux, Joseph M. Le, et al.. (2014). Building dispositions towards models and model-based reasoning in engineering education. 1–4. 1 indexed citations
6.
Denning, Gabriela, Robert Moot, Daniel C. Whitehead, et al.. (2014). High-throughput screening identifies compounds that enhance lentiviral transduction. Gene Therapy. 21(12). 1008–1020. 18 indexed citations
7.
Lyon, L. Andrew, et al.. (2009). Rapid modification of retroviruses using lipid conjugates. Nanotechnology. 20(6). 65103–65103. 9 indexed citations
8.
Doux, Joseph M. Le, et al.. (2008). Quantitative analysis of retroviral and lentiviral gene transfer to murine embryonic stem cells. Journal of Biotechnology. 138(1-2). 42–51. 5 indexed citations
9.
10.
Gersbach, Charles A., Sean R. Coyer, Joseph M. Le Doux, & Andrés J. Garcı́a. (2007). Biomaterial-mediated retroviral gene transfer using self-assembled monolayers. Biomaterials. 28(34). 5121–5127. 31 indexed citations
11.
Landázuri, Natalia, et al.. (2007). Retrovirus‐Polymer Complexes: Study of the Factors Affecting the Dose Response of Transduction. Biotechnology Progress. 23(2). 480–487. 17 indexed citations
12.
Landázuri, Natalia, et al.. (2006). Rapid concentration and purification of retrovirus by flocculation with Polybrene. Journal of Biotechnology. 125(4). 529–539. 12 indexed citations
13.
Gersbach, Charles A., Joseph M. Le Doux, Robert E. Guldberg, & Andrés J. Garcı́a. (2006). Inducible regulation of Runx2-stimulated osteogenesis. Gene Therapy. 13(11). 873–882. 46 indexed citations
14.
Raykin, Julia, et al.. (2005). Targeted Receptor Trafficking Affects the Efficiency of Retrovirus Transduction. Biotechnology Progress. 21(1). 263–273. 1 indexed citations
15.
Landázuri, Natalia & Joseph M. Le Doux. (2005). Complexation with chondroitin sulfate C and Polybrene rapidly purifies retrovirus from inhibitors of transduction and substantially enhances gene transfer. Biotechnology and Bioengineering. 93(1). 146–158. 19 indexed citations
16.
Landázuri, Natalia & Joseph M. Le Doux. (2004). Complexation of retroviruses with charged polymers enhances gene transfer by increasing the rate that viruses are delivered to cells. The Journal of Gene Medicine. 6(12). 1304–1319. 35 indexed citations
17.
Doux, Joseph M. Le, Jeffrey R. Morgan, & Martin L. Yarmush. (1999). Differential Inhibition of Retrovirus Transduction by Proteoglycans and Free Glycosaminoglycans. Biotechnology Progress. 15(3). 397–406. 28 indexed citations
18.
Doux, Joseph M. Le, Howard E. Davis, Jeffrey R. Morgan, & Martin L. Yarmush. (1999). Kinetics of retrovirus production and decay. Biotechnology and Bioengineering. 63(6). 654–662. 77 indexed citations
19.
Andreadis, Stelios T., Charles M. Roth, Joseph M. Le Doux, Jeffrey R. Morgan, & Martin L. Yarmush. (1999). Large-Scale Processing of Recombinant Retroviruses for Gene Therapy. Biotechnology Progress. 15(1). 1–11. 83 indexed citations
20.
Doux, Joseph M. Le, Jeffrey R. Morgan, & Martin L. Yarmush. (1998). Removal of proteoglycans increases efficiency of retroviral gene transfer. Biotechnology and Bioengineering. 58(1). 23–34. 1 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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