Ryan R. McCully

489 citations
6 papers · 380 · h-index 5

Impact in

    • NF-κB Signaling Pathways
    • Cancer-related molecular mechanisms research
    • Immune Cell Function and Interaction

Papers in

    • Fungal and yeast genetics research 2
    • Heat shock proteins research 1
    • Plant biochemistry and biosynthesis 1
    • Bioinformatics and Genomic Networks 1
    • Peptidase Inhibition and Analysis 1

Ryan R. McCully

6 papers receiving 377 citations

Peers

Ryan R. McCully
Comparison fields: 5 of 43
  • Cancer Research 116
  • Immunology 90
  • Molecular Biology 274
  • Oncology 45
  • Genetics 17
Replace Kevin N. Kirouac with:
Kevin N. Kirouac Canada
Tian-Min Ye Hong Kong
Jennifer M. Soll United States
Ana Rio‐Machín United Kingdom
Héléna Boutzen France
Clarence Wang United States
V. S. Lang Spain
Florian Baumgartner Austria
Caroline Barton Australia
Ryan R. McCully relative to Kevin N. Kirouac Canada Kevin N. Kirouac's profile →
Citations per field
00.5×1.7×
Kevin N. Kirouac · 1×
Citations per year

Countries citing papers authored by Ryan R. McCully

Since Specialization
Citations

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

Fields of papers citing papers by Ryan R. McCully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan R. McCully. 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 Ryan R. McCully. The network helps show where Ryan R. McCully may publish in the future.

Co-authors

The 21 scholars most cited alongside Ryan R. McCully, 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 Ryan R. McCully Line = papers co-authored together Ryan R. McCully links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2003217
2 201066
3 200857
4 200329
5 201610
6 20231

About Ryan R. McCully

Ryan R. McCully is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pharmacology, having authored 6 papers that have together received 380 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (2 papers), Fungal and yeast genetics research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Heat shock proteins research (1 paper), Plant biochemistry and biosynthesis (1 paper), Fungal Biology and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Cancer Research (116 citations), Immunology (90 citations), Molecular Biology (274 citations), Oncology (45 citations) and Genetics (17 citations). Ryan R. McCully has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Thomas H. King, Ben Liu, Maurille J. Fournier, Joel L. Pomerantz, Rebecca L. Lamason, Yunmei Wang, Vera Cherkasova, Elaine A. Elion, Alan G. Hinnebusch and Claus Jørgensen. Their work appears in journals such as Molecular Cell, Current Biology, Molecular and Cellular Biology, Biochemistry and Molecular BioSystems.

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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