Bryan Laraway

1.9k citations
11 papers · 330 · h-index 7

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Cancer-related Molecular Pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Advanced biosensing and bioanalysis techniques 1
    • Metabolism, Diabetes, and Cancer 1
    • Genetics, Bioinformatics, and Biomedical Research 1
    • COVID-19 Clinical Research Studies 4

Bryan Laraway

10 papers receiving 325 citations

Peers

Bryan Laraway
Comparison fields: 5 of 72
  • Molecular Biology 193
  • Oncology 75
  • Neurology 35
  • Cancer Research 33
  • Genetics 22
Replace Ranlin Yan with:
Ranlin Yan China
Charlotte M. Flynn Germany
Nichole Peterson Canada
Amin Daei Sorkhabi Iran
Kishore R. Anekalla United States
Cosmin Andrei Cismaru Romania
Emel Akgün Türkiye
Cristine Dieter Brazil
Anastasia A. Zharikova Russia
Bryan Laraway relative to Ranlin Yan China Ranlin Yan's profile →
Citations per field
00.5×10×16×
Ranlin Yan · 1×
Citations per year

Countries citing papers authored by Bryan Laraway

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Laraway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bryan Laraway, 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 Bryan Laraway Line = papers co-authored together Bryan Laraway links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011130
2 201165
3 202153
4 202224
5 202418
6 202318
7 202212
8 20105
9 20154
10 20241
11 20150

About Bryan Laraway

Bryan Laraway is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Genetics and Biomedical Engineering, having authored 11 papers that have together received 330 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Graphene and Nanomaterials Applications (1 paper), Intestinal Malrotation and Obstruction Disorders (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Molecular Biology (193 citations), Oncology (75 citations), Neurology (35 citations), Cancer Research (33 citations) and Genetics (22 citations). Bryan Laraway has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Rosalie C. Sears, Megan L. Troxell, Xiaoyan Wang, Sara Tokarz, Melissa Cunningham, Xiaoli Zhang, Amy Farrell, Hugh Arnold, Xiaoli Zhang and Colin J. Daniel. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Pediatrics, Orphanet Journal of Rare Diseases, EBioMedicine and Translational Psychiatry.

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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