Lyndsay M. Murrow

6.7k total citations · 3 hit papers
12 papers, 3.4k citations indexed

About

Lyndsay M. Murrow is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Lyndsay M. Murrow has authored 12 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Epidemiology and 2 papers in Pharmacology. Recurrent topics in Lyndsay M. Murrow's work include Autophagy in Disease and Therapy (5 papers), Extracellular vesicles in disease (4 papers) and Single-cell and spatial transcriptomics (3 papers). Lyndsay M. Murrow is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Extracellular vesicles in disease (4 papers) and Single-cell and spatial transcriptomics (3 papers). Lyndsay M. Murrow collaborates with scholars based in United States. Lyndsay M. Murrow's co-authors include Zev J. Gartner, Christopher S. McGinnis, Jayanta Debnath, Ritu Malhotra, Srirupa Roy, Estefanı́a Fernández, Nan Chen, Lilliana Radoshevich, Daniel N. Conrad and Juliane Winkler and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Cell Biology.

In The Last Decade

Lyndsay M. Murrow

12 papers receiving 3.4k citations

Hit Papers

DoubletFinder: Doublet De... 2012 2026 2016 2021 2019 2012 2019 500 1000 1.5k
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.

  1. DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors
    2019 1.9k citations Christopher S. McGinnis, Lyndsay M. Murrow et al. Cell Systems profile →
  2. Autophagy as a Stress-Response and Quality-Control Mechanism: Implications for Cell Injury and Human Disease
    2012 444 citations Lyndsay M. Murrow, Jayanta Debnath Annual Review of Pathology Mechanisms of Disease profile →
  3. MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
    2019 340 citations Christopher S. McGinnis, David M. Patterson et al. Nature Methods profile →

Author Peers

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

Author Last Decade Papers Cites
Lyndsay M. Murrow 2.1k 803 794 536 416 12 3.4k
Jian Guo 1.7k 0.8× 896 1.1× 563 0.7× 515 1.0× 349 0.8× 93 3.8k
Lei Huang 2.6k 1.3× 561 0.7× 733 0.9× 447 0.8× 847 2.0× 84 3.7k
Yanqin Yang 2.0k 1.0× 635 0.8× 355 0.4× 718 1.3× 250 0.6× 71 3.5k
G. Angus McQuibban 1.9k 0.9× 380 0.5× 762 1.0× 884 1.6× 735 1.8× 34 3.6k
Francesc Baixauli 2.4k 1.1× 983 1.2× 508 0.6× 976 1.8× 217 0.5× 15 3.4k
Deborah L. Berry 2.2k 1.1× 363 0.5× 1.2k 1.5× 366 0.7× 345 0.8× 51 3.8k
Matthias Farlik 2.0k 1.0× 1.6k 1.9× 360 0.5× 356 0.7× 453 1.1× 54 3.7k
Irwin H. Gelman 2.7k 1.3× 516 0.6× 726 0.9× 506 0.9× 735 1.8× 109 4.6k
Hannes C. A. Drexler 3.8k 1.8× 698 0.9× 786 1.0× 820 1.5× 909 2.2× 69 5.8k
Koh‐Hei Sonoda 1.6k 0.8× 1.8k 2.3× 598 0.8× 240 0.4× 431 1.0× 267 6.6k

Countries citing papers authored by Lyndsay M. Murrow

Since Specialization
Citations

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

Fields of papers citing papers by Lyndsay M. Murrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyndsay M. Murrow. 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 Lyndsay M. Murrow. The network helps show where Lyndsay M. Murrow may publish in the future.

Co-authorship network of co-authors of Lyndsay M. Murrow

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

All Works

12 of 12 papers shown
1.
Wang, Xianhong, Lyndsay M. Murrow, Yunn‐Yi Chen, et al.. (2023). Loss of PPARγ activity characterizes early protumorigenic stromal reprogramming and dictates the therapeutic window of opportunity. Proceedings of the National Academy of Sciences. 120(42). e2303774120–e2303774120. 5 indexed citations
2.
Murrow, Lyndsay M., Robert J. Weber, Christopher S. McGinnis, et al.. (2022). Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution. Cell Systems. 13(8). 644–664.e8. 16 indexed citations
3.
Officer, Adam, Farnaz Hasteh, Michal Slyper, et al.. (2022). Abstract P5-06-02: A gene expression meta-analysis identifies microenvironment differences in cellular composition and cell-cell interactions associated with breast cancer invasion. Cancer Research. 82(4_Supplement). P5–6. 1 indexed citations
4.
McGinnis, Christopher S., David M. Patterson, Juliane Winkler, et al.. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nature Methods. 16(7). 619–626. 340 indexed citations breakdown →
5.
McGinnis, Christopher S., Lyndsay M. Murrow, & Zev J. Gartner. (2019). DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors. Cell Systems. 8(4). 329–337.e4. 1912 indexed citations breakdown →
6.
Murrow, Lyndsay M., Robert J. Weber, & Zev J. Gartner. (2017). Dissecting the stem cell niche with organoid models: an engineering-based approach. Development. 144(6). 998–1007. 61 indexed citations
7.
Murrow, Lyndsay M., Ritu Malhotra, & Jayanta Debnath. (2015). ATG12–ATG3 interacts with Alix to promote basal autophagic flux and late endosome function. Nature Cell Biology. 17(3). 300–310. 244 indexed citations
8.
Murrow, Lyndsay M. & Jayanta Debnath. (2015). ATG12–ATG3 connects basal autophagy and late endosome function. Autophagy. 11(6). 961–962. 47 indexed citations
9.
Murrow, Lyndsay M. & Jayanta Debnath. (2015). Atg12–Atg3 Coordinates Basal Autophagy, Endolysosomal Trafficking, and Exosome Release. Molecular & Cellular Oncology. 5(5). e1039191–e1039191. 19 indexed citations
10.
Murrow, Lyndsay M. & Jayanta Debnath. (2012). Autophagy as a Stress-Response and Quality-Control Mechanism: Implications for Cell Injury and Human Disease. Annual Review of Pathology Mechanisms of Disease. 8(1). 105–137. 444 indexed citations breakdown →
11.
Radoshevich, Lilliana, Lyndsay M. Murrow, Nan Chen, et al.. (2010). ATG12 Conjugation to ATG3 Regulates Mitochondrial Homeostasis and Cell Death. Cell. 142(4). 590–600. 241 indexed citations
12.
Murrow, Lyndsay M., Sireesha V. Garimella, Tamara L. Jones, Natasha J. Caplen, & Stanley Lipkowitz. (2009). Identification of WEE1 as a potential molecular target in cancer cells by RNAi screening of the human tyrosine kinome. Breast Cancer Research and Treatment. 122(2). 347–357. 73 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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