Madeleine Landry

66 total papers · 998 total citations
38 papers, 778 citations indexed

About

Madeleine Landry is a scholar working on Biomedical Engineering, Molecular Biology and Immunology. According to data from OpenAlex, Madeleine Landry has authored 38 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Madeleine Landry's work include Nanoplatforms for cancer theranostics (10 papers), Nanoparticle-Based Drug Delivery (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Madeleine Landry is often cited by papers focused on Nanoplatforms for cancer theranostics (10 papers), Nanoparticle-Based Drug Delivery (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Madeleine Landry collaborates with scholars based in United States, Canada and France. Madeleine Landry's co-authors include W. Mitchell Sams, Conroy Sun, Megan J. Neufeld, Allison N. DuRoss, Charles R. Thomas, Gaurav Sahay, A.M. Goforth, Guillem Pratx, R.K. Winkelmann and Syamantak Khan and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Madeleine Landry

36 papers receiving 704 citations

Hit Papers

Peptide-guided lipid nano... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madeleine Landry 219 141 134 119 116 38 778
Paola Azzoni 158 0.7× 105 0.7× 55 0.4× 48 0.4× 74 0.6× 30 798
Jiajie Xu 199 0.9× 77 0.5× 149 1.1× 46 0.4× 32 0.3× 47 759
Jillian Frieder 211 1.0× 100 0.7× 243 1.8× 52 0.4× 210 1.8× 18 688
Shimobi Onuoha 249 1.1× 45 0.3× 134 1.0× 45 0.4× 177 1.5× 28 715
Manisha Mehta 156 0.7× 66 0.5× 55 0.4× 111 0.9× 31 0.3× 30 828
Mary A. Hall 154 0.7× 59 0.4× 146 1.1× 48 0.4× 51 0.4× 35 735
Yi Huang 336 1.5× 26 0.2× 102 0.8× 70 0.6× 53 0.5× 33 874
Michael K. Wong 271 1.2× 35 0.2× 125 0.9× 28 0.2× 83 0.7× 44 901
Claudio Calonder 194 0.9× 117 0.8× 119 0.9× 43 0.4× 192 1.7× 18 652
Xiaowen Tong 358 1.6× 20 0.1× 114 0.9× 104 0.9× 96 0.8× 68 910

Countries citing papers authored by Madeleine Landry

Since Specialization
Citations

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

Fields of papers citing papers by Madeleine Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeleine Landry. 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 Madeleine Landry. The network helps show where Madeleine Landry may publish in the future.

Co-authorship network of co-authors of Madeleine Landry

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

All Works

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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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