Matthew A. Langley

415 total citations
6 papers, 196 citations indexed

About

Matthew A. Langley is a scholar working on Molecular Biology, Oncology and Clinical Psychology. According to data from OpenAlex, Matthew A. Langley has authored 6 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Clinical Psychology. Recurrent topics in Matthew A. Langley's work include Gene Regulatory Network Analysis (3 papers), COVID-19 and healthcare impacts (1 paper) and COVID-19 and Mental Health (1 paper). Matthew A. Langley is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), COVID-19 and healthcare impacts (1 paper) and COVID-19 and Mental Health (1 paper). Matthew A. Langley collaborates with scholars based in Canada, Australia and Israel. Matthew A. Langley's co-authors include Peter W. Zandstra, Shreya Shukla, Mahmood Mohtashami, Jastaranpreet Singh, Juan Carlos Zúñiga‐Pflücker, Ayako Yachie‐Kinoshita, Eszter Pósfai, Joel Östblom, Kento Onishi and Janet Rossant and has published in prestigious journals such as Nature Methods, PLoS Computational Biology and Molecular Systems Biology.

In The Last Decade

Matthew A. Langley

6 papers receiving 193 citations

Peers

Matthew A. Langley
Hsueh Lee Lim Singapore
Darius M. Johnston United States
Verena van der Heide United States
Joe Trotter United States
Adam Karoutas United Kingdom
Crystal McKnight United States
Wilbert B. Copeland United States
Hsueh Lee Lim Singapore
Matthew A. Langley
Citations per year, relative to Matthew A. Langley Matthew A. Langley (= 1×) peers Hsueh Lee Lim

Countries citing papers authored by Matthew A. Langley

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Langley

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

All Works

6 of 6 papers shown
1.
Kelly, Jaimon T., et al.. (2023). Implementing a virtual emergency department to avoid unnecessary emergency department presentations. Emergency Medicine Australasia. 36(1). 125–132. 8 indexed citations
2.
Langley, Matthew A., Cynthia L. Fisher, Shreya Shukla, et al.. (2022). IQCELL: A platform for predicting the effect of gene perturbations on developmental trajectories using single-cell RNA-seq data. PLoS Computational Biology. 18(2). e1009907–e1009907. 16 indexed citations
3.
Su, Christina J., Arvind Murugan, James M. Linton, et al.. (2022). Ligand-receptor promiscuity enables cellular addressing. Cell Systems. 13(5). 408–425.e12. 43 indexed citations
4.
McCarthy, Kate, et al.. (2022). Infection control behaviours, intra‐household transmission and quarantine duration: a retrospective cohort analysis of COVID‐19 cases. Australian and New Zealand Journal of Public Health. 46(6). 730–734. 3 indexed citations
5.
Yachie‐Kinoshita, Ayako, Kento Onishi, Joel Östblom, et al.. (2018). Modeling signaling‐dependent pluripotency with Boolean logic to predict cell fate transitions. Molecular Systems Biology. 14(1). e7952–e7952. 39 indexed citations
6.
Shukla, Shreya, Matthew A. Langley, Jastaranpreet Singh, et al.. (2017). Progenitor T-cell differentiation from hematopoietic stem cells using Delta-like-4 and VCAM-1. Nature Methods. 14(5). 531–538. 87 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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