Liam M. Casey

856 citations
12 papers · 729 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Blood Coagulation and Thrombosis Mechanisms 2

Liam M. Casey

12 papers receiving 720 citations

Peers

Liam M. Casey
Comparison fields: 5 of 78
  • Immunology 253
  • Hematology 72
  • Cardiology and Cardiovascular Medicine 108
  • Immunology and Allergy 28
  • Molecular Biology 311
Replace Masako Harada with:
Masako Harada Japan
Mounia Sabrina Braza United States
Rebeca Galisteo United States
Elazer R. Edelman United States
Tyra A. Witt United States
Jenny Zilberberg United States
C M Kielty United Kingdom
Elisabeth Jiang United States
Kim Stecker United States
Stephen Swenson United States
Liam M. Casey relative to Masako Harada Japan Masako Harada's profile →
Citations per field
00.5×1.5×2×2.5×
Masako Harada · 1×
Citations per year

Countries citing papers authored by Liam M. Casey

Since Specialization
Citations

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

Fields of papers citing papers by Liam M. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam M. Casey. 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 Liam M. Casey. The network helps show where Liam M. Casey may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007123
2 2010119
3 2017100
4 200690
5 201784
6 201776
7 201970
8 202240
9 202211
10 20168
11 20037
12 20081

About Liam M. Casey

Liam M. Casey is a scholar working on Immunology, Hematology, Cardiology and Cardiovascular Medicine, Oncology and Surfaces, Coatings and Films, having authored 12 papers that have together received 729 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Polymer Surface Interaction Studies (1 paper), Conducting polymers and applications (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (253 citations), Hematology (72 citations), Cardiology and Cardiovascular Medicine (108 citations), Immunology and Allergy (28 citations) and Molecular Biology (311 citations). Liam M. Casey has collaborated with scholars based in United States and Germany. Frequent co-authors include Ryan M. Pearson, Lonnie D. Shea, Kevin R. Hughes, Stephen D. Miller, Leon Z. Wang, Burns C. Blaxall, Eui‐Sic Cho, Rulang Jiang, Kathleen M. Maltby and Thomas Gridley. Their work appears in journals such as Biomaterials, Circulation, Advanced Drug Delivery Reviews, Biotechnology and Bioengineering and Molecular Therapy.

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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