Emma F. Barry

1.3k citations
18 papers · 942 indexed · h-index 14
  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments 2
  • Immunology top 10%
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions 6
    • Cancer Cells and Metastasis 2
  • Genetics top 10%
    • 14-3-3 protein interactions 3
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 2

Emma F. Barry

17 papers receiving 931 citations

Peers

Emma F. Barry
Comparison fields: 5 of 74
  • Hematology 274
  • Immunology 396
  • Oncology 346
  • Genetics 86
  • Molecular Biology 360
Replace Ugo Consoli with:
Ugo Consoli Italy
Tae Kon Kim United States
Justine E. Roderick United States
Sijie Lu United States
Maria Askmyr Sweden
Markus Müschen United States
Fiona C. Kimberley Netherlands
Xiaoyan Qiu China
AL Mui Canada
Antonia Busse Germany
Emma F. Barry relative to Ugo Consoli Italy Ugo Consoli's profile →
Citations per field
00.5×4.2×
Ugo Consoli · 1×
Citations per year

Countries citing papers authored by Emma F. Barry

Since Specialization
Citations

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

Fields of papers citing papers by Emma F. Barry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma F. Barry. 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 Emma F. Barry. The network helps show where Emma F. Barry may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20250
2 201964
3 201841
4 201831
5 20189
6 201439
7 20141
8 201312
9 201323
10 200931
11 2009390
12 200947
13 200819
14 200716
15 200665
16 200360
17 200062
18 199832

About Emma F. Barry

Emma F. Barry is a scholar working on Immunology, Oncology, Hematology, Otorhinolaryngology and Immunology and Allergy, having authored 18 papers that have together received 942 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), 14-3-3 protein interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (274 citations), Immunology (396 citations), Oncology (346 citations), Genetics (86 citations) and Molecular Biology (360 citations). Emma F. Barry has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Angel F. López, Mark A. Guthridge, Hayley S. Ramshaw, Danièl Thomas, Samantha J. Busfield, Barbara J. McClure, Frank C. Stomski, David P. Gearing, Richard B. Lock and Erwin M. Lee. Their work appears in journals such as Blood, Toxicology, Nature Communications, Cell Reports and The Journal of Experimental Medicine.

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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