Lauren Byrnes

2.3k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Single-cell and spatial transcriptomics (6 papers)Pancreatic function and diabetes (3 papers)Glycosylation and Glycoproteins Research (1 paper)

In The Last Decade

Lauren Byrnes

12 papers receiving 1.1k citations

Hit Papers

Multiplexed droplet single-cell RNA-sequencing using natu...20172026202020232017100200300400500

Peers

Lauren Byrnes
Comparison fields: 5 of 87
  • Molecular Biology 751
  • Immunology 240
  • Surgery 170
  • Cancer Research 155
  • Genetics 133
Replace Haide Chen with:
Haide Chen China
Evangelia Diamanti United Kingdom
Stefan Peidli Germany
Anna Hupalowska United Kingdom
Simon D. Bamforth United Kingdom
Anan Ragab United Kingdom
Jean-Charles Boisset Netherlands
Byungjin Hwang South Korea
Katie Cockburn Canada
Mauro W. Costa Australia
Lauren Byrnes relative to Haide Chen China Haide Chen's profile →
Citations per field
00.5×1.5×1.8×
Haide Chen · 1×
Citations per year

Countries citing papers authored by Lauren Byrnes

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Byrnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Byrnes

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Byrnes. A scholar is included among the top collaborators of Lauren Byrnes 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 Lauren Byrnes. Lauren Byrnes 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
#WorkIndexed citations
1 22
2 6
3 107
4 86
5 4
6 80
7 12
8 123
9 58
10 46
11
Multiplexed droplet single-cell RNA-sequencing using natural genetic variationbreakdown →
525
12 14

About Lauren Byrnes

Lauren Byrnes is a scholar working on Aging, Otorhinolaryngology and Sensory Systems, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Pancreatic function and diabetes (3 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biophysics (83 citations), Aging (24 citations) and Immunology (240 citations). Lauren Byrnes has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Chun Ye, Meena Subramaniam, Julie B. Sneddon, Alexander Marson, Sara Mostafavi, Cristina Lanata, Michelle Nguyen, Elizabeth McCarthy, Sasha Targ and Simon Wong. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Communications.

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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