Lauren Bryan

637 citations
12 papers · 539 · h-index 12

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 5
    • Inflammasome and immune disorders 3
    • RNA Research and Splicing 3
    • Signaling Pathways in Disease 2
    • Genomics and Chromatin Dynamics 2
    • Cellular transport and secretion 3

Lauren Bryan

12 papers receiving 533 citations

Peers

Lauren Bryan
Comparison fields: 5 of 83
  • Developmental Neuroscience 33
  • Neurology 55
  • Cancer Research 88
  • Molecular Biology 353
  • Cell Biology 81
Replace Jennifer W. Bradford with:
Jennifer W. Bradford United States
Elisa Matas-Rico Netherlands
Mark Morris United States
Shanshan Ma China
Martín Roffé Brazil
Li-Ying Yu Finland
Eliane Charrat France
Melanie Allen United States
Kristina Beck Germany
Melissa Hancock United States
Lauren Bryan relative to Jennifer W. Bradford United States Jennifer W. Bradford's profile →
Citations per field
00.5×1.5×2.5×
Jennifer W. Bradford · 1×
Citations per year

Countries citing papers authored by Lauren Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lauren Bryan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lauren Bryan Line = papers co-authored together Lauren Bryan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200891
2 200881
3 200774
4 200951
5 200845
6 200640
7 200639
8 201030
9 200527
10 201626
11 201518
12 201617

About Lauren Bryan

Lauren Bryan is a scholar working on Molecular Biology, Cell Biology, Neurology, Cancer Research and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 539 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), Inflammasome and immune disorders (3 papers), Cellular transport and secretion (3 papers), RNA Research and Splicing (3 papers), Signaling Pathways in Disease (2 papers), Genomics and Chromatin Dynamics (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Neurology (55 citations), Cancer Research (88 citations), Molecular Biology (353 citations) and Cell Biology (81 citations). Lauren Bryan has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Tomasz Kordula, Katarzyna M. Wilczynska, Sunita M. Gopalan, Sarah Spiegel, Sheldon Milstien, Sarah Wright, Irene Griswold‐Prenner, Sandeep K. Singh, Barbara S. Paugh and Dmitri Kapitonov. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Ophthalmic and Physiological Optics, Molecular Cancer Research and Health Psychology.

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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