Lyndsay M. Murrow
- Molecular Biology top 5%
- Immunology top 5%
- Epidemiology top 5%
- Cancer Research top 5%
- Oncology top 10%
- Co-authors
- Zev J. GartnerChristopher S. McGinnisJayanta DebnathRitu MalhotraNan ChenEstefanı́a FernándezLilliana RadoshevichSrirupa Roy
- Topics
- Autophagy in Disease and Therapy (5 papers)Extracellular vesicles in disease (4 papers)Single-cell and spatial transcriptomics (3 papers)
- Partner nations
- United States
In The Last Decade
Lyndsay M. Murrow
12 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.1k
- Immunology 803
- Epidemiology 794
- Cancer Research 536
- Oncology 416
Countries citing papers authored by Lyndsay M. Murrow
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indicesbreakdown → | 340 |
| 5 | DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighborsbreakdown → | 1912 |
| 6 | 61 | |
| 7 | 244 | |
| 8 | 47 | |
| 9 | 19 | |
| 10 | Autophagy as a Stress-Response and Quality-Control Mechanism: Implications for Cell Injury and Human Diseasebreakdown → | 444 |
| 11 | 241 | |
| 12 | 73 |
About Lyndsay M. Murrow
Lyndsay M. Murrow is a scholar working on Physiology, Immunology and Allergy and Epidemiology, having authored 12 papers that have together received 3.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Extracellular vesicles in disease (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology (803 citations), Cancer Research (536 citations) and Molecular Biology (2.1k citations). Lyndsay M. Murrow has collaborated with scholars based in United States. Frequent co-authors include Zev J. Gartner, Christopher S. McGinnis, Jayanta Debnath, Ritu Malhotra, Nan Chen, Estefanı́a Fernández, Lilliana Radoshevich, Srirupa Roy, Vasudha Srivastava and David M. Patterson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Cell Biology.
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.