Matthew J. Shurtleff

2.5k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Matthew J. Shurtleff is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Matthew J. Shurtleff has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Matthew J. Shurtleff's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and RNA Interference and Gene Delivery (3 papers). Matthew J. Shurtleff is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and RNA Interference and Gene Delivery (3 papers). Matthew J. Shurtleff collaborates with scholars based in United States and Germany. Matthew J. Shurtleff's co-authors include Randy Schekman, Morayma M. Temoche-Diaz, Sayaka Ri, Kate Karfilis, Alan M. Lambowitz, Ryan M. Nottingham, Jun Yao, Yidan Qin, Noah I. Hornick and Amy M. Skinner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and eLife.

In The Last Decade

Matthew J. Shurtleff

9 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Y-box protein 1 is required to sort microRNAs into exosomes in cells and in a cell-free reaction

2016 489 citations Matthew J. Shurtleff, Morayma M. Temoche-Diaz et al. eLife profile →

Peers

Matthew J. Shurtleff

MB

CR

IMMUN

CB

ID

Aurélie Melchior France

Jean‐Sébastien Diana France

Marco Maugeri Sweden

Katja Langenfeld Germany

Jr-Ming Yang United States

Douglas C. Wu United States

Dominique L. Ouellet Canada

Dror Avni Israel

Anna Szeles Sweden

Toine ten Broeke Netherlands

Aurélie Melchior France

Matthew J. Shurtleff

1.5k ×1.1

MB

715 ×1.0

CR

257 ×1.6

IMMUN

280 ×2.2

CB

96 ×1.2

ID

Citations per year, relative to Matthew J. Shurtleff Matthew J. Shurtleff (= 1×) peers Aurélie Melchior

Countries citing papers authored by Matthew J. Shurtleff

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Shurtleff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Shurtleff

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

All Works

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9 of 9 papers shown

1.

Miller-Vedam, Lakshmi E., Bastian Bräuning, Katerina D. Popova, et al.. (2020). Structural and mechanistic basis of the EMC-dependent biogenesis of distinct transmembrane clients. eLife. 9. 68 indexed citations

2.

Temoche-Diaz, Morayma M., Matthew J. Shurtleff, & Randy Schekman. (2020). Buoyant Density Fractionation of Small Extracellular Vesicle Sub-populations Derived from Mammalian Cells. BIO-PROTOCOL. 10(15). e3706–e3706. 4 indexed citations

3.

Shurtleff, Matthew J., et al.. (2019). The ER membrane protein complex is required to ensure correct topology and stable expression of flavivirus polyproteins. eLife. 8. 47 indexed citations

4.

Temoche-Diaz, Morayma M., Matthew J. Shurtleff, Ryan M. Nottingham, et al.. (2019). Distinct mechanisms of microRNA sorting into cancer cell-derived extracellular vesicle subtypes. eLife. 8. 175 indexed citations

5.

Shurtleff, Matthew J., Daniel N. Itzhak, Jeffrey A. Hussmann, et al.. (2018). The ER membrane protein complex interacts cotranslationally to enable biogenesis of multipass membrane proteins. eLife. 7. 157 indexed citations

6.

Shurtleff, Matthew J., Jun Yao, Yidan Qin, et al.. (2017). Broad role for YBX1 in defining the small noncoding RNA composition of exosomes. Proceedings of the National Academy of Sciences. 114(43). E8987–E8995. 256 indexed citations

7.

Shurtleff, Matthew J., Morayma M. Temoche-Diaz, & Randy Schekman. (2017). Extracellular Vesicles and Cancer: Caveat Lector. 2(1). 395–411. 48 indexed citations

8.

Shurtleff, Matthew J., Morayma M. Temoche-Diaz, Kate Karfilis, Sayaka Ri, & Randy Schekman. (2016). Y-box protein 1 is required to sort microRNAs into exosomes in cells and in a cell-free reaction. eLife. 5. 489 indexed citations breakdown →

9.

Huan, Jianya, Noah I. Hornick, Matthew J. Shurtleff, et al.. (2012). RNA Trafficking by Acute Myelogenous Leukemia Exosomes. Cancer Research. 73(2). 918–929. 218 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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