Matthew Landry

814 total citations
10 papers, 429 citations indexed

About

Matthew Landry is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Matthew Landry has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Biomaterials. Recurrent topics in Matthew Landry's work include Nanopore and Nanochannel Transport Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). Matthew Landry is often cited by papers focused on Nanopore and Nanochannel Transport Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). Matthew Landry collaborates with scholars based in United States and China. Matthew Landry's co-authors include Elvin Blanco, Angela Hsiao, Funda Meric‐Bernstam, Mauro Ferrari, Aman P. Mann, Stephen Winters‐Hilt, Mauro Ferrari, Kenneth Dunner, Xuewu Liu and Guillermo U. Ruiz‐Esparza and has published in prestigious journals such as Small, BMC Bioinformatics and Cancer Science.

In The Last Decade

Matthew Landry

10 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Landry United States	8	205	180	157	81	39	10	429
Jianqin Tang China	11	176 0.9×	117 0.7×	127 0.8×	52 0.6×	54 1.4×	16	409
Daniella Yeheskely‐Hayon Israel	11	217 1.1×	101 0.6×	164 1.0×	87 1.1×	100 2.6×	19	501
Danika Rodrigues United States	8	206 1.0×	125 0.7×	140 0.9×	50 0.6×	60 1.5×	10	417
Dinghu Zhang China	12	227 1.1×	94 0.5×	153 1.0×	87 1.1×	54 1.4×	22	446
А. А. Никитин Russia	14	256 1.2×	244 1.4×	104 0.7×	141 1.7×	25 0.6×	53	599
William M. MacCuaig United States	9	219 1.1×	112 0.6×	87 0.6×	147 1.8×	35 0.9×	15	426
Eric E. Paoli United States	7	353 1.7×	167 0.9×	101 0.6×	129 1.6×	26 0.7×	10	473
Charlene M. Dawidczyk United States	6	321 1.6×	375 2.1×	246 1.6×	71 0.9×	65 1.7×	6	605

Countries citing papers authored by Matthew Landry

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Landry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Landry

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Landry. A scholar is included among the top collaborators of Matthew 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 Matthew Landry. Matthew 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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10 of 10 papers shown

Jia, Fan, James W. Gallagher, Hung‐Jen Wu, et al.. (2012). Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery. Journal of Visualized Experiments. 3 indexed citations

Gallagher, James W., Hung‐Jen Wu, Matthew Landry, et al.. (2012). Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery. Journal of Visualized Experiments. 10 indexed citations

Blanco, Elvin, Angela Hsiao, Guillermo U. Ruiz‐Esparza, et al.. (2011). Molecular‐targeted nanotherapies in cancer: Enabling treatment specificity. Molecular Oncology. 5(6). 492–503. 41 indexed citations

Blanco, Elvin, Angela Hsiao, Aman P. Mann, et al.. (2011). Nanomedicine in cancer therapy: Innovative trends and prospects. Cancer Science. 102(7). 11 indexed citations

Blanco, Elvin, Angela Hsiao, Aman P. Mann, et al.. (2011). Nanomedicine in cancer therapy: Innovative trends and prospects. Cancer Science. 102(7). 1247–1252. 188 indexed citations

Serda, Rita E., Aaron Mack, Anne L. van de Ven, et al.. (2010). Logic‐Embedded Vectors for Intracellular Partitioning, Endosomal Escape, and Exocytosis of Nanoparticles. Small. 6(23). 2691–2700. 84 indexed citations

Landry, Matthew & Stephen Winters‐Hilt. (2007). Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis. BMC Bioinformatics. 8(S7). S12–S12. 16 indexed citations

Winters‐Hilt, Stephen, et al.. (2006). Cheminformatics methods for novel nanopore analysis of HIV DNA termini. BMC Bioinformatics. 7(S2). S22–S22. 26 indexed citations

Winters‐Hilt, Stephen, et al.. (2006). Support Vector Machine Implementations for Classification & Clustering. BMC Bioinformatics. 7(S2). S4–S4. 44 indexed citations

10.

Landry, Matthew, et al.. (2006). DNA Molecule Classification Using Feature Primitives. BMC Bioinformatics. 7(S2). S15–S15. 6 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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